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| <div class="title">WorkloadData.cpp</div> </div> |
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| <div class="contents"> |
| <a href="_workload_data_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>></span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_workload_info_8hpp.html">armnn/backends/WorkloadInfo.hpp</a>></span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_data_layout_indexed_8hpp.html">armnnUtils/DataLayoutIndexed.hpp</a>></span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_permute_8hpp.html">armnnUtils/Permute.hpp</a>></span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.hpp</a>></span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.html">armnn/Logging.hpp</a>></span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <algorithm></span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <iomanip></span></div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <string></span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <sstream></span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <fmt/format.h></span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  </div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_utils.html">armnnUtils</a>;</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad"> 28</a></span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputDataType)</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">switch</span> (inputDataType)</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">case</span> DataType::Float16:</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">return</span> DataType::Float16;</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>:</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">case</span> DataType::Float32:</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> DataType::Float32;</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">case</span> DataType::QAsymmS8:</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">case</span> DataType::QAsymmU8:</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">case</span> DataType::QSymmS8:</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">case</span> DataType::QSymmS16:</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> DataType::Signed32;</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"GetBiasDataType(): Unsupported data type."</span>);</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> }</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  </div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">//android ndk does not support std::to_string function.</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> std::string to_string(T value)</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> {</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::ostringstream os;</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  os << value;</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> os.str();</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> }</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keywordtype">void</span> ValidatePointer(<span class="keyword">const</span> <span class="keywordtype">void</span>* ptr, std::string <span class="keyword">const</span>& descName, std::string <span class="keyword">const</span>& paramName)</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">if</span> (!ptr)</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Invalid null pointer. The "</span> +</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  paramName + <span class="stringliteral">" parameter must be set."</span>);</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keywordtype">void</span> ValidateTensorShapesMatch(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& first,</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& second,</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::string <span class="keyword">const</span>& descName,</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  std::string <span class="keyword">const</span>& firstName,</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  std::string <span class="keyword">const</span>& secondName)</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span> {</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span> (first.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() != second.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>())</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": "</span></div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  + firstName + <span class="stringliteral">" & "</span> + secondName + <span class="stringliteral">" must have identical shapes"</span>);</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  </div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keywordtype">void</span> ValidateNumInputs(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo, std::string <span class="keyword">const</span>& descName, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedSize)</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span> {</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != expectedSize)</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName +</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="stringliteral">": Requires exactly "</span> + to_string(expectedSize) + <span class="stringliteral">"input(s). "</span> +</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size()) + <span class="stringliteral">" have been provided."</span>);</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span> }</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keywordtype">void</span> ValidateNumOutputs(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo, std::string <span class="keyword">const</span>& descName, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedSize)</div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != expectedSize)</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName +</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="stringliteral">": Requires exactly "</span> + to_string(expectedSize) + <span class="stringliteral">" output(s). "</span> +</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size()) + <span class="stringliteral">" has been provided."</span>);</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span> }</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  </div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keywordtype">void</span> ValidateTensorNumElements(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensor,</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  std::string <span class="keyword">const</span>& descName,</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numElements,</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  std::string <span class="keyword">const</span>& tensorName)</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">if</span> (tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() != numElements)</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Expected "</span> + to_string(numElements) + <span class="stringliteral">" but got "</span> +</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  to_string(tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>()) + <span class="stringliteral">" elements for "</span> +</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  tensorName + <span class="stringliteral">" tensor."</span>);</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  </div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keywordtype">void</span> ValidateTensorDataType(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensor, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType,</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">const</span> std::string& descName, std::string <span class="keyword">const</span>& tensorName)</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">if</span> (tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != dataType)</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Expected data type "</span> + <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(dataType) + <span class="stringliteral">" but got "</span> +</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()) + <span class="stringliteral">" for "</span> + tensorName + <span class="stringliteral">" tensor."</span>);</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  </div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keywordtype">void</span> ValidPerAxisQuantizedDataType(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensor, <span class="keyword">const</span> std::string& descName, <span class="keyword">const</span> std::string& tensorName)</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">if</span> (tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != DataType::QSymmS8)</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName +</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="stringliteral">": Expected data type which supports per-axis quantization scheme but got "</span> +</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()) + <span class="stringliteral">" for "</span> + tensorName + <span class="stringliteral">" tensor."</span>);</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span> }</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="keywordtype">void</span> ValidateTensorQuantizationSpace(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& first,</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& second,</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> std::string& descName,</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::string <span class="keyword">const</span>& firstName,</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::string <span class="keyword">const</span>& secondName)</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> {</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">if</span> (!first.<a class="code" href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">IsQuantized</a>() ||</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  !second.<a class="code" href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">IsQuantized</a>())</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  {</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Not a quantized type, ignore the validation</span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  }</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  </div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> firstDataType = first.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> secondDataType = second.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  </div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (firstDataType != secondDataType)</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": "</span> + firstName + <span class="stringliteral">" and "</span> + secondName +</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="stringliteral">" must be of the same quantized type, "</span> +</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  firstName + <span class="stringliteral">" is "</span> + <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(firstDataType) + <span class="stringliteral">", "</span> +</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  secondName + <span class="stringliteral">" is "</span> + <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(secondDataType));</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  </div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">if</span> (!first.<a class="code" href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1">IsTypeSpaceMatch</a>(second))</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": "</span> + firstName + <span class="stringliteral">" and "</span> + secondName +</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="stringliteral">" must have the same quantization space, "</span> +</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  firstName + <span class="stringliteral">" has offset "</span> + to_string(first.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>()) +</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="stringliteral">" and scale "</span> + to_string(first.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>()) + <span class="stringliteral">", "</span> +</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  secondName + <span class="stringliteral">" has offset "</span> + to_string(second.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>()) +</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="stringliteral">" and scale "</span> + to_string(second.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>()));</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span> }</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  </div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keywordtype">void</span> ValidateBiasTensorQuantization(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasTensor,</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weightsTensorInfo,</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> std::string& descName)</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span> {</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">if</span> (biasTensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() != 0)</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Expected zero quantization offset for bias tensor but got "</span> +</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  to_string(biasTensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>()));</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  </div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">if</span> (biasTensor.<a class="code" href="classarmnn_1_1_tensor_info.html#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>() || weightsTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#af672d1c9e2a120a18926cb645981fbb7">HasMultipleQuantizationScales</a>())</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  {</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Validate per-axis quantization scales</span></div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> std::vector<float>& weightScales = weightsTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>();</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">const</span> std::vector<float>& biasScales = biasTensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>();</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  </div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">if</span> (weightScales.size() != biasScales.size())</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  std::stringstream msg;</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  msg << descName << <span class="stringliteral">": Expected matching number of per-axis quantization scales for weights and bias, "</span></div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  << <span class="stringliteral">"but got different values. This is currently unsupported: weights="</span> << weightScales.size()</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  << <span class="stringliteral">", biases="</span> << biasScales.size();</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(msg.str(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  </div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keywordtype">void</span> ValidateTensors(<span class="keyword">const</span> std::vector<ITensorHandle*>& vec,</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numExpected,</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> std::string& descName,</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> std::string& varName)</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span> {</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">if</span> (vec.empty() && numExpected > 0)</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  {</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Invalid empty "</span> + varName + <span class="stringliteral">" array."</span>);</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  </div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numExpected; ++i)</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">if</span> (!vec[i])</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Invalid NULL for "</span> + varName + to_string(i));</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span> }</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="keywordtype">void</span> ValidateBroadcastTensorShapesMatch(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& first,</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& second,</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  std::string <span class="keyword">const</span>& descName,</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  std::string <span class="keyword">const</span>& firstName,</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  std::string <span class="keyword">const</span>& secondName)</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span> {</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// Tensors must have the same number of dimensions in order to be explicit about which dimensions will get</span></div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// broadcasted.</span></div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// NOTE: This check is dependent on the AddBroadcastReshapeLayerImpl optimization having been applied to the layer.</span></div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">if</span> (first.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != second.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Tensors "</span></div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  + firstName + <span class="stringliteral">" & "</span> + secondName</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  + <span class="stringliteral">" must have the same number of dimensions in order to be broadcasted"</span>);</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  uint32_t numDims = first.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  std::vector<uint32_t> outputDims(numDims, 0u);</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < numDims; i++)</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  {</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> dimsNotEqual = first.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i] != second.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> dimsNotOne = (first.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i] != 1) && (second.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i] != 1);</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">if</span> (dimsNotEqual && dimsNotOne)</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Broadcasting is not possible for incompatible shapes"</span>);</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  outputDims[i] = std::max(first.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i], second.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i]);</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  }</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> broadcastShape = <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(armnn::numeric_cast<unsigned int>(outputDims.size()), outputDims.data());</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">if</span> (broadcastShape != output.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>())</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": The tensor shape resulting from adding "</span></div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  + firstName + <span class="stringliteral">" & "</span> + secondName</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  + <span class="stringliteral">" does not match the output shape"</span>);</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span> }</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  </div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="keywordtype">void</span> ValidateDataTypes(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& info,</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> std::vector<armnn::DataType>& supportedTypes,</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  std::string <span class="keyword">const</span>& descName)</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span> {</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">auto</span> iterator = std::find(supportedTypes.begin(), supportedTypes.end(), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType());</div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">if</span> (iterator == supportedTypes.end())</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": "</span> + <span class="stringliteral">" Tensor type "</span> + <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType()) +</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="stringliteral">" is not supported."</span>);</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span> }</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  </div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keywordtype">void</span> ValidateTensorDataTypesMatch(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& first,</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& second,</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  std::string <span class="keyword">const</span>& descName,</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  std::string <span class="keyword">const</span>& firstName,</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  std::string <span class="keyword">const</span>& secondName)</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span> {</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">if</span> (first.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != second.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>())</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": "</span> + firstName + <span class="stringliteral">" & "</span> + secondName +</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="stringliteral">" must have identical data types."</span>);</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  }</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span> }</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  </div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="keywordtype">void</span> ValidateTensorNumElementsMatch(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& first,</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& second,</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  std::string <span class="keyword">const</span>& descName,</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  std::string <span class="keyword">const</span>& firstName,</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  std::string <span class="keyword">const</span>& secondName)</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span> {</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">if</span> (first.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() != second.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>())</div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  {</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": "</span> + firstName + <span class="stringliteral">" & "</span> + secondName +</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="stringliteral">" must have the same number of elements."</span>);</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span> }</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  </div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="keywordtype">void</span> ValidateWeightDataType(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo,</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weightInfo,</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> std::string& descName)</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span> {</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputType = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputType))</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  {</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">const</span> std::vector<DataType> validTypes =</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  DataType::QAsymmS8,</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  DataType::QAsymmU8,</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  DataType::QSymmS8</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  };</div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  </div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  ValidateDataTypes(weightInfo, validTypes, descName);</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  }</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  {</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  ValidateTensorDataTypesMatch(inputInfo, weightInfo, descName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span> }</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  </div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="keywordtype">void</span> ValidatePerAxisQuantizationDimension(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">const</span> std::string& descName,</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">const</span> std::string& tensorName)</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span> {</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<unsigned int></a>& quantizationDim = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>();</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">if</span> (!quantizationDim.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  {</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"{0}: Quantization dimension for per-axis quantization "</span></div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="stringliteral">"not set on tensor {1}."</span>, descName, tensorName));</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span> }</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  </div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keywordtype">void</span> ValidatePerAxisQuantizationOffset(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">const</span> std::string& descName,</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">const</span> std::string& tensorName)</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span> {</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  int32_t quantizationOffset = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>();</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">if</span> (quantizationOffset != 0)</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="stringliteral">"{0}: Quantization offset for per-axis quantization expected to be 0 on tensor {1}, but got: {2}"</span>,</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  descName, tensorName, quantizationOffset));</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span> }</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  </div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="keywordtype">void</span> ValidatePerAxisQuantization(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo,</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo,</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weightInfo,</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a>& optionalBiasInfo,</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> std::string& descName)</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span> {</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">if</span> (weightInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> inputDataType = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> outputDataType = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  </div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> canHavePerAxisQuantization = (<a class="code" href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">IsQuantized8BitType</a>(inputDataType)) && inputDataType == outputDataType;</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  </div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">if</span> (!canHavePerAxisQuantization)</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  {</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="stringliteral">"{0}: Per-axis quantization parameters set on tensor {1}, but data type does not support "</span></div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="stringliteral">"per-axis quantization."</span>, descName, <span class="stringliteral">"weight"</span>));</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  </div> |
| <div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  </div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  ValidPerAxisQuantizedDataType(weightInfo, descName, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  ValidatePerAxisQuantizationDimension(weightInfo, descName, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  ValidatePerAxisQuantizationOffset(weightInfo, descName, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  </div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">if</span> (optionalBiasInfo.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  {</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasInfo = optionalBiasInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>();</div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">if</span> (!biasInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="stringliteral">"{}: Per-axis quantization parameters not set on bias tensor, "</span></div> |
| <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="stringliteral">"despite being set on weight tensor."</span>, descName));</div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  }</div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  </div> |
| <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  ValidateTensorDataType(biasInfo, DataType::Signed32, descName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  ValidatePerAxisQuantizationDimension(biasInfo, descName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  ValidatePerAxisQuantizationOffset(biasInfo, descName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div> |
| <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span> }</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  </div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span> } <span class="comment">// anonymous namespace</span></div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  </div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c"> 398</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">QueueDescriptor::ValidateTensorNumDimensions</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensor,</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  std::string <span class="keyword">const</span>& descName,</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions,</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  std::string <span class="keyword">const</span>& tensorName)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00402"></a><span class="lineno"> 402</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// If we're allowing expanded dimensions then numDimensions becomes the minimum number of Dimensions we can allow.</span></div> |
| <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">// Throw an Exception if the tensors has fewer than numDimensions or if the squeezed dimensions are greater than</span></div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// numDimensions.</span></div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a9ef8ddbeee4b869e4c68eb2ed278b8d9">m_AllowExpandedDims</a>)</div> |
| <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div> |
| <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> squeezedDims = 0;</div> |
| <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  </div> |
| <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div> |
| <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div> |
| <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">if</span> (tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i] != 1)</div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  {</div> |
| <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  ++squeezedDims;</div> |
| <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</div> |
| <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  }</div> |
| <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">if</span> (tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() < numDimensions || squeezedDims > numDimensions)</div> |
| <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  {</div> |
| <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Expected "</span> + to_string(numDimensions) + <span class="stringliteral">" or less but got "</span> +</div> |
| <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  to_string(tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()) + <span class="stringliteral">" dimensions for "</span> +</div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  tensorName + <span class="stringliteral">" tensor."</span>);</div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  }</div> |
| <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div> |
| <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div> |
| <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">if</span> (tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != numDimensions)</div> |
| <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  {</div> |
| <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descName + <span class="stringliteral">": Expected "</span> + to_string(numDimensions) + <span class="stringliteral">" but got "</span> +</div> |
| <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  to_string(tensor.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()) + <span class="stringliteral">" dimensions for "</span> +</div> |
| <div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  tensorName + <span class="stringliteral">" tensor."</span>);</div> |
| <div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  }</div> |
| <div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  </div> |
| <div class="line"><a name="l00435"></a><span class="lineno"> 435</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155"> 436</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">QueueDescriptor::ValidateTensorNumDimNumElem</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensorInfo,</div> |
| <div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimension,</div> |
| <div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numElements,</div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  std::string <span class="keyword">const</span>& tensorName)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keyword">const</span> std::string functionName{<span class="stringliteral">"ValidateTensorNumDimNumElem"</span>};</div> |
| <div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(tensorInfo, functionName, numDimension, tensorName);</div> |
| <div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  ValidateTensorNumElements(tensorInfo, functionName, numElements, tensorName);</div> |
| <div class="line"><a name="l00444"></a><span class="lineno"> 444</span> }</div> |
| <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  </div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00447"></a><span class="lineno"><a class="line" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a"> 447</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">QueueDescriptor::ValidateInputsOutputs</a>(<span class="keyword">const</span> std::string& descName,</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numExpectedIn, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numExpectedOut)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  ValidateTensors(<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, numExpectedIn, descName, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  ValidateTensors(<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>, numExpectedOut, descName, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span> }</div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  </div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00455"></a><span class="lineno"><a class="line" href="structarmnn_1_1_map_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 455</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_map_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MapQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00456"></a><span class="lineno"> 456</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"MapQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  </div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  ValidateNumOutputs(workloadInfo, descriptorName, 0);</div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  </div> |
| <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size(); ++i)</div> |
| <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  {</div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[i])</div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  {</div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  fmt::format(<span class="stringliteral">"{}: Invalid NULL input {}."</span>, descriptorName, <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(i)));</div> |
| <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  }</div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  }</div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span> }</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  </div> |
| <div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00473"></a><span class="lineno"><a class="line" href="structarmnn_1_1_unmap_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 473</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_unmap_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">UnmapQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"UnmapQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  </div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  ValidateNumOutputs(workloadInfo, descriptorName, 0);</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  </div> |
| <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size(); ++i)</div> |
| <div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div> |
| <div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[i])</div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  {</div> |
| <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  fmt::format(<span class="stringliteral">"{}: Invalid NULL input {}."</span>, descriptorName, <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(i)));</div> |
| <div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div> |
| <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div> |
| <div class="line"><a name="l00488"></a><span class="lineno"> 488</span> }</div> |
| <div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  </div> |
| <div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00491"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mem_copy_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 491</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_mem_copy_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MemCopyQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00492"></a><span class="lineno"> 492</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"MemCopyQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  </div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  ValidateNumOutputs(workloadInfo, descriptorName , 1);</div> |
| <div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  </div> |
| <div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  </div> |
| <div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  ValidateTensorNumElementsMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  </div> |
| <div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size() != <a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size())</div> |
| <div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  {</div> |
| <div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="stringliteral">"{0}: Number of inputs ({1}) does not match the number of outputs ({2})."</span>,</div> |
| <div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  descriptorName, <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size(), <a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size()));</div> |
| <div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  }</div> |
| <div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  </div> |
| <div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size(); ++i)</div> |
| <div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div> |
| <div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[i])</div> |
| <div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div> |
| <div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="stringliteral">"{0}: Invalid NULL input {1}."</span>, descriptorName, i));</div> |
| <div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  }</div> |
| <div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  </div> |
| <div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[i])</div> |
| <div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  {</div> |
| <div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"{0}: Invalid NULL output {1}"</span>, descriptorName, i));</div> |
| <div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  }</div> |
| <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div> |
| <div class="line"><a name="l00524"></a><span class="lineno"> 524</span> }</div> |
| <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  </div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00527"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mem_import_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 527</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_mem_import_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MemImportQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  ValidateNumInputs(workloadInfo, <span class="stringliteral">"MemImportQueueDescriptor"</span>, 1);</div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  ValidateNumOutputs(workloadInfo, <span class="stringliteral">"MemImportQueueDescriptor"</span> , 1);</div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  </div> |
| <div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != 1)</div> |
| <div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div> |
| <div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Number of input infos ({}) is not 1."</span>,</div> |
| <div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size()));</div> |
| <div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  </div> |
| <div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  }</div> |
| <div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  </div> |
| <div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size())</div> |
| <div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  {</div> |
| <div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="stringliteral">"Number of input infos ({0}) does not match the number of output infos ({1})"</span>,</div> |
| <div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(), workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size()));</div> |
| <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  }</div> |
| <div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  </div> |
| <div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">for</span> (std::size_t i = 0; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div> |
| <div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  {</div> |
| <div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i].GetNumElements() !=</div> |
| <div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[i].GetNumElements())</div> |
| <div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  {</div> |
| <div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="stringliteral">"Number of elements for tensor input and output {} does not match"</span>, i ));</div> |
| <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  }</div> |
| <div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div> |
| <div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  </div> |
| <div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size() != 1)</div> |
| <div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  {</div> |
| <div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Number of inputs ({}) is not 1."</span>, <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size()));</div> |
| <div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div> |
| <div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  </div> |
| <div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size() != <a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size())</div> |
| <div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  {</div> |
| <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="stringliteral">"Number of inputs ({0}) does not match the number of outputs ({1})"</span>,</div> |
| <div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size(), <a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size()));</div> |
| <div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  }</div> |
| <div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  </div> |
| <div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size(); ++i)</div> |
| <div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  {</div> |
| <div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[i])</div> |
| <div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  {</div> |
| <div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Invalid null input {}"</span>, i));</div> |
| <div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  }</div> |
| <div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  </div> |
| <div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[i])</div> |
| <div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div> |
| <div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Invalid null output {}"</span>, i));</div> |
| <div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  }</div> |
| <div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div> |
| <div class="line"><a name="l00580"></a><span class="lineno"> 580</span> }</div> |
| <div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  </div> |
| <div class="line"><a name="l00582"></a><span class="lineno"> 582</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00583"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mem_sync_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 583</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_mem_sync_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MemSyncQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00584"></a><span class="lineno"> 584</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  ValidateNumInputs(workloadInfo, <span class="stringliteral">"MemSyncQueueDescriptor"</span>, 1);</div> |
| <div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  </div> |
| <div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size() != 1)</div> |
| <div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  {</div> |
| <div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Number of inputs ({}) is not 1."</span>, <a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size()));</div> |
| <div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  }</div> |
| <div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  </div> |
| <div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size() != 0)</div> |
| <div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  {</div> |
| <div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Number of outputs ({}) is not 0."</span>, <a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size()));</div> |
| <div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  }</div> |
| <div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  </div> |
| <div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])</div> |
| <div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  {</div> |
| <div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Invalid null input 0"</span>));</div> |
| <div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  }</div> |
| <div class="line"><a name="l00601"></a><span class="lineno"> 601</span> }</div> |
| <div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  </div> |
| <div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="comment">//---------------------------------------------------------------</span></div> |
| <div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="structarmnn_1_1_activation_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 604</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_activation_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ActivationQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ActivationQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  </div> |
| <div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  </div> |
| <div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  </div> |
| <div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  {</div> |
| <div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  };</div> |
| <div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  </div> |
| <div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00627"></a><span class="lineno"> 627</span> }</div> |
| <div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  </div> |
| <div class="line"><a name="l00629"></a><span class="lineno"><a class="line" href="structarmnn_1_1_arg_min_max_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 629</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_arg_min_max_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ArgMinMaxQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00630"></a><span class="lineno"> 630</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ArgMinMaxQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  </div> |
| <div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  </div> |
| <div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  </div> |
| <div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a> &&</div> |
| <div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a>)</div> |
| <div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  {</div> |
| <div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output of ArgMinMax layer must be Int32 or Int64."</span>);</div> |
| <div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  }</div> |
| <div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  </div> |
| <div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  std::vector<DataType> supportedInputTypes =</div> |
| <div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  {</div> |
| <div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> |
| <div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  };</div> |
| <div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  </div> |
| <div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  ValidateDataTypes(inputTensorInfo, supportedInputTypes, descriptorName);</div> |
| <div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  </div> |
| <div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">auto</span> inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="keyword">auto</span> outputShape = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  </div> |
| <div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keyword">auto</span> inputNumDimensions = inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">auto</span> unsignedAxis = <a class="code" href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">armnnUtils::GetUnsignedAxis</a>(inputNumDimensions, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">m_Axis</a>);</div> |
| <div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  </div> |
| <div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">const</span> std::string outputShapeError{<span class="stringliteral">": Output tensor shape does not match shape inferred from input tensor."</span>};</div> |
| <div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  </div> |
| <div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="comment">// 1D input shape results in scalar output shape</span></div> |
| <div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keywordflow">if</span> (inputShape.GetNumDimensions() == 1)</div> |
| <div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  {</div> |
| <div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keywordflow">if</span> (outputShape.GetNumDimensions() != 1 && outputShape[0] != 1)</div> |
| <div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  {</div> |
| <div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> |
| <div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  }</div> |
| <div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  }</div> |
| <div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  {</div> |
| <div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < unsignedAxis; ++i)</div> |
| <div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  {</div> |
| <div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordflow">if</span> (outputShape[i] != inputShape[i])</div> |
| <div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  {</div> |
| <div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> |
| <div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  }</div> |
| <div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  }</div> |
| <div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  </div> |
| <div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> i = unsignedAxis + 1; i < inputNumDimensions; ++i)</div> |
| <div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  {</div> |
| <div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">if</span> (outputShape[i - 1] != inputShape[i])</div> |
| <div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  {</div> |
| <div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + outputShapeError);</div> |
| <div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  }</div> |
| <div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  }</div> |
| <div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  }</div> |
| <div class="line"><a name="l00693"></a><span class="lineno"> 693</span> }</div> |
| <div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  </div> |
| <div class="line"><a name="l00695"></a><span class="lineno"><a class="line" href="structarmnn_1_1_cast_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 695</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_cast_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">CastQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00696"></a><span class="lineno"> 696</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"CastQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  </div> |
| <div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  </div> |
| <div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  </div> |
| <div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  {</div> |
| <div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a>,</div> |
| <div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div> |
| <div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  };</div> |
| <div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  </div> |
| <div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00721"></a><span class="lineno"> 721</span> }</div> |
| <div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  </div> |
| <div class="line"><a name="l00723"></a><span class="lineno"><a class="line" href="structarmnn_1_1_softmax_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 723</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_softmax_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">SoftmaxQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00724"></a><span class="lineno"> 724</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SoftmaxQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  </div> |
| <div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  </div> |
| <div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  </div> |
| <div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  {</div> |
| <div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  };</div> |
| <div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  </div> |
| <div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00746"></a><span class="lineno"> 746</span> }</div> |
| <div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  </div> |
| <div class="line"><a name="l00748"></a><span class="lineno"><a class="line" href="structarmnn_1_1_splitter_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 748</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">SplitterQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00749"></a><span class="lineno"> 749</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SplitterQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  </div> |
| <div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  </div> |
| <div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  {</div> |
| <div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div> |
| <div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  };</div> |
| <div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  </div> |
| <div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0ul; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size(); ++i)</div> |
| <div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  {</div> |
| <div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[i];</div> |
| <div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  </div> |
| <div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="keyword">const</span> std::string outputName = <span class="stringliteral">"output_"</span> + std::to_string(i);</div> |
| <div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, outputName);</div> |
| <div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  }</div> |
| <div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  </div> |
| <div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() <= 0)</div> |
| <div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  {</div> |
| <div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": At least one output needs to be provided."</span>);</div> |
| <div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  }</div> |
| <div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  </div> |
| <div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size())</div> |
| <div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  {</div> |
| <div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  descriptorName + <span class="stringliteral">": Number of split windows "</span></div> |
| <div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="stringliteral">"has to match number of workloadInfo.m_OutputTensorInfos. "</span></div> |
| <div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="stringliteral">"Number of windows: "</span> +</div> |
| <div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  to_string(<a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size()) +</div> |
| <div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="stringliteral">". Number of workloadInfo.m_OutputTensorInfos: "</span> + to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size()));</div> |
| <div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  }</div> |
| <div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  </div> |
| <div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="comment">//The dimensionality of all the windows has to match the dimensionality (not shape) of the input.</span></div> |
| <div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  std::size_t inputDims = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumDimensions();</div> |
| <div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w < <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++w )</div> |
| <div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  {</div> |
| <div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="comment">//Checks that the dimensionality of input is same as the split windows.</span></div> |
| <div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html">ViewOrigin</a> <span class="keyword">const</span>& e = <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[w];</div> |
| <div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="keywordflow">if</span> (e.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>.size() != inputDims)</div> |
| <div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  {</div> |
| <div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window origin have to "</span></div> |
| <div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="stringliteral">"have the same dimensionality as the input tensor. "</span></div> |
| <div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="stringliteral">"Window origin (index: "</span> +</div> |
| <div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  to_string(w) + <span class="stringliteral">") has "</span> + to_string(e.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>.size()) +</div> |
| <div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="stringliteral">" dimensions, the input "</span></div> |
| <div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="stringliteral">"tensor has "</span> +</div> |
| <div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  to_string(inputDims) + <span class="stringliteral">" dimensions."</span>);</div> |
| <div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  }</div> |
| <div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < e.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>.size(); ++i)</div> |
| <div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  {</div> |
| <div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <span class="keywordflow">if</span> (e.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i] + workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[w].GetShape()[i] ></div> |
| <div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[i])</div> |
| <div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  {</div> |
| <div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window extent coordinates have to "</span></div> |
| <div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="stringliteral">"be smaller or equal than the size of the input in that coord."</span>);</div> |
| <div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  }</div> |
| <div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  }</div> |
| <div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  }</div> |
| <div class="line"><a name="l00818"></a><span class="lineno"> 818</span> }</div> |
| <div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  </div> |
| <div class="line"><a name="l00820"></a><span class="lineno"><a class="line" href="structarmnn_1_1_concat_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 820</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ConcatQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00821"></a><span class="lineno"> 821</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ConcatQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  </div> |
| <div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  </div> |
| <div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size() <= 0)</div> |
| <div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  {</div> |
| <div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": At least one input needs to be provided."</span>);</div> |
| <div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  }</div> |
| <div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size() <= 0)</div> |
| <div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  {</div> |
| <div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": At least one output needs to be provided."</span>);</div> |
| <div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  }</div> |
| <div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  </div> |
| <div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() <= 0)</div> |
| <div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  {</div> |
| <div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": At least one TensorInfo input needs to be provided."</span>);</div> |
| <div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  }</div> |
| <div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() <= 0)</div> |
| <div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  {</div> |
| <div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": At least one TensorInfo output needs to be provided."</span>);</div> |
| <div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  }</div> |
| <div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  </div> |
| <div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keywordflow">if</span>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>() > workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape().GetNumDimensions())</div> |
| <div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  {</div> |
| <div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid concatenation axis provided."</span>);</div> |
| <div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  }</div> |
| <div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  </div> |
| <div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape().GetNumDimensions() - <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>() == 1)</div> |
| <div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  {</div> |
| <div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  }</div> |
| <div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  </div> |
| <div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size())</div> |
| <div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  {</div> |
| <div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  descriptorName + <span class="stringliteral">": Number of split windows "</span></div> |
| <div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="stringliteral">"has to match number of workloadInfo.m_InputTensorInfos. "</span></div> |
| <div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="stringliteral">"Number of windows: "</span> +</div> |
| <div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  to_string(<a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size()) +</div> |
| <div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="stringliteral">". Number of workloadInfo.m_InputTensorInfos: "</span> + to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size()));</div> |
| <div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  }</div> |
| <div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  </div> |
| <div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="comment">//The dimensionality of all the windows has to match the dimensionality (not shape) of the output.</span></div> |
| <div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  std::size_t outputDims = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetNumDimensions();</div> |
| <div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w < <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++w )</div> |
| <div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  {</div> |
| <div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="comment">//Checks that the dimensionality of output is same as the split windows.</span></div> |
| <div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ViewOrigin</a> <span class="keyword">const</span>& e = <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[w];</div> |
| <div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">if</span> (e.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>.size() != outputDims)</div> |
| <div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  {</div> |
| <div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window origin have to "</span></div> |
| <div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  <span class="stringliteral">"have the same dimensionality as the output tensor. "</span></div> |
| <div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <span class="stringliteral">"Window origin (index: "</span> +</div> |
| <div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  to_string(w) + <span class="stringliteral">") has "</span> + to_string(e.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>.size()) +</div> |
| <div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="stringliteral">" dimensions, the output "</span></div> |
| <div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="stringliteral">"tensor has "</span> +</div> |
| <div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  to_string(outputDims) + <span class="stringliteral">" dimensions."</span>);</div> |
| <div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  }</div> |
| <div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="comment">//Checks that the merge windows are within the output tensor.</span></div> |
| <div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < e.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>.size(); ++i)</div> |
| <div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  {</div> |
| <div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keywordflow">if</span> (e.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i] + workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[w].GetShape()[i]</div> |
| <div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  > workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetShape()[i])</div> |
| <div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  {</div> |
| <div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Window extent coordinates have to "</span></div> |
| <div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="stringliteral">"be smaller or equal than the size of the output in that coord."</span>);</div> |
| <div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  }</div> |
| <div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  }</div> |
| <div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  }</div> |
| <div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  </div> |
| <div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  {</div> |
| <div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div> |
| <div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  };</div> |
| <div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  </div> |
| <div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0ul; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div> |
| <div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  {</div> |
| <div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i];</div> |
| <div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  </div> |
| <div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keyword">const</span> std::string inputName = <span class="stringliteral">"input_"</span> + std::to_string(i);</div> |
| <div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, inputName, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  }</div> |
| <div class="line"><a name="l00914"></a><span class="lineno"> 914</span> }</div> |
| <div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  </div> |
| <div class="line"><a name="l00916"></a><span class="lineno"><a class="line" href="structarmnn_1_1_stack_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 916</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_stack_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">StackQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00917"></a><span class="lineno"> 917</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"StackQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  </div> |
| <div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  </div> |
| <div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> != workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size())</div> |
| <div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  {</div> |
| <div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Must have the defined number of input tensors."</span>);</div> |
| <div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  }</div> |
| <div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  </div> |
| <div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="comment">// All inputs must have the same shape, which is defined in parameters</span></div> |
| <div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>;</div> |
| <div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div> |
| <div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  {</div> |
| <div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i].GetShape() != inputShape)</div> |
| <div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  {</div> |
| <div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": All input tensor shapes must match the defined shape."</span>);</div> |
| <div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  }</div> |
| <div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  }</div> |
| <div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  </div> |
| <div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  <span class="keywordflow">if</span> (inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > 4)</div> |
| <div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  {</div> |
| <div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensor may have up to 4 dimensions."</span>);</div> |
| <div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  }</div> |
| <div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  </div> |
| <div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  <span class="comment">// m_Axis is 0-based and may take values from 0 to the number of input dimensions (inclusive),</span></div> |
| <div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="comment">// since the output tensor has an additional dimension.</span></div> |
| <div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> > inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div> |
| <div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  {</div> |
| <div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Axis may not be greater "</span></div> |
| <div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <span class="stringliteral">"than the number of input dimensions."</span>);</div> |
| <div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  }</div> |
| <div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  </div> |
| <div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="comment">// Output shape must be as inferred from the input shape</span></div> |
| <div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetShape();</div> |
| <div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>; ++i)</div> |
| <div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  {</div> |
| <div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <span class="keywordflow">if</span> (outputShape[i] != inputShape[i])</div> |
| <div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  {</div> |
| <div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor must "</span></div> |
| <div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  <span class="stringliteral">"match shape inferred from input tensor."</span>);</div> |
| <div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  }</div> |
| <div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  }</div> |
| <div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  </div> |
| <div class="line"><a name="l00961"></a><span class="lineno"> 961</span>  <span class="keywordflow">if</span> (outputShape[<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>] != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>)</div> |
| <div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  {</div> |
| <div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor must "</span></div> |
| <div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="stringliteral">"match shape inferred from input tensor."</span>);</div> |
| <div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  }</div> |
| <div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  </div> |
| <div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> + 1; i < inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() + 1; ++i)</div> |
| <div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  {</div> |
| <div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keywordflow">if</span> (outputShape[i] != inputShape[i-1])</div> |
| <div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  {</div> |
| <div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor must "</span></div> |
| <div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="stringliteral">"match shape inferred from input tensor."</span>);</div> |
| <div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  }</div> |
| <div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  }</div> |
| <div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  </div> |
| <div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  <span class="keywordflow">if</span> (outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > 5)</div> |
| <div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  {</div> |
| <div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor may have up to 5 dimensions."</span>);</div> |
| <div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  }</div> |
| <div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  </div> |
| <div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  {</div> |
| <div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div> |
| <div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  };</div> |
| <div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  </div> |
| <div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  ValidateDataTypes(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  </div> |
| <div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1ul; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div> |
| <div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  {</div> |
| <div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div> |
| <div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i],</div> |
| <div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  descriptorName,</div> |
| <div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="stringliteral">"input_"</span> + std::to_string(i));</div> |
| <div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  }</div> |
| <div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  </div> |
| <div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div> |
| <div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0],</div> |
| <div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  descriptorName,</div> |
| <div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01010"></a><span class="lineno"> 1010</span> }</div> |
| <div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  </div> |
| <div class="line"><a name="l01012"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fill_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1012</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_fill_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">FillQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01013"></a><span class="lineno"> 1013</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"FillQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  </div> |
| <div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  </div> |
| <div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  </div> |
| <div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 1, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  </div> |
| <div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  {</div> |
| <div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  };</div> |
| <div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  </div> |
| <div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01033"></a><span class="lineno"> 1033</span> }</div> |
| <div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  </div> |
| <div class="line"><a name="l01035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fully_connected_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1035</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_fully_connected_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">FullyConnectedQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01036"></a><span class="lineno"> 1036</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"FullyConnectedQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  </div> |
| <div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  uint32_t numInputs = 2;</div> |
| <div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  {</div> |
| <div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  numInputs = 3;</div> |
| <div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  }</div> |
| <div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  </div> |
| <div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  ValidateNumInputs(workloadInfo, descriptorName, numInputs);</div> |
| <div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  </div> |
| <div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  </div> |
| <div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 2, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  </div> |
| <div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  <span class="keywordflow">if</span> (!(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 2 || inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4))</div> |
| <div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  {</div> |
| <div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensor must have 2 or 4 dimensions."</span>);</div> |
| <div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  }</div> |
| <div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  </div> |
| <div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> weightTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(weightTensorInfo, descriptorName, 2, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  </div> |
| <div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  {</div> |
| <div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> biasTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2];</div> |
| <div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  <span class="comment">// Validates type and quantization values.</span></div> |
| <div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  ValidateTensorDataType(biasTensorInfo, <a class="code" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), descriptorName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(biasTensorInfo, descriptorName, 1, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  }</div> |
| <div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  </div> |
| <div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  {</div> |
| <div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  };</div> |
| <div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  </div> |
| <div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  </div> |
| <div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="comment">// For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.</span></div> |
| <div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>)</div> |
| <div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  {</div> |
| <div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a> && outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> |
| <div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  {</div> |
| <div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": "</span> + <span class="stringliteral">" Output tensor type must be BFloat16 or Float32 "</span></div> |
| <div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="stringliteral">"for BFloat16 input."</span>);</div> |
| <div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  }</div> |
| <div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  }</div> |
| <div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  {</div> |
| <div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  }</div> |
| <div class="line"><a name="l01096"></a><span class="lineno"> 1096</span> }</div> |
| <div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  </div> |
| <div class="line"><a name="l01098"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fused_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1098</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_fused_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">FusedQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& <span class="comment">/*workloadInfo*/</span>)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01099"></a><span class="lineno"> 1099</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  <span class="comment">// This is internally generated, so it should not need validation.</span></div> |
| <div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> }</div> |
| <div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  </div> |
| <div class="line"><a name="l01103"></a><span class="lineno"><a class="line" href="structarmnn_1_1_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1103</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">NormalizationQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"NormalizationQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01106"></a><span class="lineno"> 1106</span>  </div> |
| <div class="line"><a name="l01107"></a><span class="lineno"> 1107</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01108"></a><span class="lineno"> 1108</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  </div> |
| <div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  </div> |
| <div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>  {</div> |
| <div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  };</div> |
| <div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  </div> |
| <div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  </div> |
| <div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  </div> |
| <div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01129"></a><span class="lineno"> 1129</span> }</div> |
| <div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  </div> |
| <div class="line"><a name="l01131"></a><span class="lineno"><a class="line" href="structarmnn_1_1_addition_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1131</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_addition_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">AdditionQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01132"></a><span class="lineno"> 1132</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"AdditionQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  </div> |
| <div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  </div> |
| <div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  </div> |
| <div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  {</div> |
| <div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  };</div> |
| <div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  </div> |
| <div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  </div> |
| <div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  ValidateTensorDataTypesMatch(inputTensorInfo0, inputTensorInfo1, descriptorName, <span class="stringliteral">"input_0"</span>, <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  ValidateTensorDataTypesMatch(inputTensorInfo1, outputTensorInfo, descriptorName, <span class="stringliteral">"input_1"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  </div> |
| <div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  descriptorName,</div> |
| <div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l01166"></a><span class="lineno"> 1166</span> }</div> |
| <div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  </div> |
| <div class="line"><a name="l01168"></a><span class="lineno"><a class="line" href="structarmnn_1_1_multiplication_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1168</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_multiplication_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MultiplicationQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01169"></a><span class="lineno"> 1169</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"MultiplicationQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  </div> |
| <div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  </div> |
| <div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  </div> |
| <div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  {</div> |
| <div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  };</div> |
| <div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  </div> |
| <div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  </div> |
| <div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>  ValidateTensorDataTypesMatch(inputTensorInfo0, inputTensorInfo1, descriptorName, <span class="stringliteral">"input_0"</span>, <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  ValidateTensorDataTypesMatch(inputTensorInfo1, outputTensorInfo, descriptorName, <span class="stringliteral">"input_1"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  </div> |
| <div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  descriptorName,</div> |
| <div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l01203"></a><span class="lineno"> 1203</span> }</div> |
| <div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  </div> |
| <div class="line"><a name="l01205"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1205</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">BatchNormalizationQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01206"></a><span class="lineno"> 1206</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"BatchNormalizationQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  </div> |
| <div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>  </div> |
| <div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  </div> |
| <div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  {</div> |
| <div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01219"></a><span class="lineno"> 1219</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  };</div> |
| <div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  </div> |
| <div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  </div> |
| <div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  </div> |
| <div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a0ae7224f556b0d008d060f847c8f8901">m_Mean</a>, descriptorName, <span class="stringliteral">"mean"</span>);</div> |
| <div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a744e5178444c4b7bc4d516f4bbee8fcd">m_Variance</a>, descriptorName, <span class="stringliteral">"variance"</span>);</div> |
| <div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#addb90eb7f4baa493fce64fdb7f140018">m_Beta</a>, descriptorName, <span class="stringliteral">"beta"</span>);</div> |
| <div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a96ee5ab4a7d2d8a4634b77d4eb9a949f">m_Gamma</a>, descriptorName, <span class="stringliteral">"gamma"</span>);</div> |
| <div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  </div> |
| <div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& mean = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a0ae7224f556b0d008d060f847c8f8901">m_Mean</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& variance = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a744e5178444c4b7bc4d516f4bbee8fcd">m_Variance</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& beta = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#addb90eb7f4baa493fce64fdb7f140018">m_Beta</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& gamma = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a96ee5ab4a7d2d8a4634b77d4eb9a949f">m_Gamma</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  </div> |
| <div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(mean, descriptorName, 1, <span class="stringliteral">"mean"</span>);</div> |
| <div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(variance, descriptorName, 1, <span class="stringliteral">"variance"</span>);</div> |
| <div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(beta, descriptorName, 1, <span class="stringliteral">"beta"</span>);</div> |
| <div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(gamma, descriptorName, 1, <span class="stringliteral">"gamma"</span>);</div> |
| <div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  </div> |
| <div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  ValidateTensorShapesMatch(mean, variance, descriptorName, <span class="stringliteral">"mean"</span>, <span class="stringliteral">"variance"</span>);</div> |
| <div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>  ValidateTensorShapesMatch(mean, beta, descriptorName, <span class="stringliteral">"mean"</span>, <span class="stringliteral">"beta"</span>);</div> |
| <div class="line"><a name="l01248"></a><span class="lineno"> 1248</span>  ValidateTensorShapesMatch(mean, gamma, descriptorName, <span class="stringliteral">"mean"</span>, <span class="stringliteral">"gamma"</span>);</div> |
| <div class="line"><a name="l01249"></a><span class="lineno"> 1249</span> }</div> |
| <div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>  </div> |
| <div class="line"><a name="l01251"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1251</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">Convolution2dQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01252"></a><span class="lineno"> 1252</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"Convolution2dQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  </div> |
| <div class="line"><a name="l01255"></a><span class="lineno"> 1255</span>  uint32_t numInputs = 2;</div> |
| <div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01257"></a><span class="lineno"> 1257</span>  {</div> |
| <div class="line"><a name="l01258"></a><span class="lineno"> 1258</span>  numInputs = 3;</div> |
| <div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>  }</div> |
| <div class="line"><a name="l01260"></a><span class="lineno"> 1260</span>  </div> |
| <div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>  ValidateNumInputs(workloadInfo, descriptorName, numInputs);</div> |
| <div class="line"><a name="l01262"></a><span class="lineno"> 1262</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>  </div> |
| <div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>  </div> |
| <div class="line"><a name="l01267"></a><span class="lineno"> 1267</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>  </div> |
| <div class="line"><a name="l01270"></a><span class="lineno"> 1270</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weightTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l01271"></a><span class="lineno"> 1271</span>  </div> |
| <div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(weightTensorInfo, descriptorName, 4, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>  </div> |
| <div class="line"><a name="l01274"></a><span class="lineno"> 1274</span>  ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>  </div> |
| <div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a> optionalBiasTensorInfo;</div> |
| <div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01278"></a><span class="lineno"> 1278</span>  {</div> |
| <div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>  optionalBiasTensorInfo = MakeOptional<TensorInfo>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2]);</div> |
| <div class="line"><a name="l01280"></a><span class="lineno"> 1280</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasTensorInfo = optionalBiasTensorInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>();</div> |
| <div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>  </div> |
| <div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>  ValidateTensorDataType(biasTensorInfo, <a class="code" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), descriptorName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>  ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>  }</div> |
| <div class="line"><a name="l01285"></a><span class="lineno"> 1285</span>  </div> |
| <div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> <= 0 || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> <= 0 )</div> |
| <div class="line"><a name="l01287"></a><span class="lineno"> 1287</span>  {</div> |
| <div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>  fmt::format(<span class="stringliteral">"{}: strideX (provided {}) and strideY (provided {}) "</span></div> |
| <div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>  <span class="stringliteral">"cannot be either negative or 0."</span>,</div> |
| <div class="line"><a name="l01291"></a><span class="lineno"> 1291</span>  descriptorName, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>));</div> |
| <div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>  }</div> |
| <div class="line"><a name="l01293"></a><span class="lineno"> 1293</span>  </div> |
| <div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>  ValidatePerAxisQuantization(inputTensorInfo,</div> |
| <div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>  weightTensorInfo,</div> |
| <div class="line"><a name="l01297"></a><span class="lineno"> 1297</span>  optionalBiasTensorInfo,</div> |
| <div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>  descriptorName);</div> |
| <div class="line"><a name="l01299"></a><span class="lineno"> 1299</span>  </div> |
| <div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>  {</div> |
| <div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01304"></a><span class="lineno"> 1304</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01306"></a><span class="lineno"> 1306</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div> |
| <div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  };</div> |
| <div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  </div> |
| <div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  </div> |
| <div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="comment">// For Convolution2d, we allow to have BFloat16 input with Float32 output for optimization.</span></div> |
| <div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>)</div> |
| <div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  {</div> |
| <div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a> && outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> |
| <div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>  {</div> |
| <div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": "</span> + <span class="stringliteral">" Output tensor type must be BFloat16 or Float32 "</span></div> |
| <div class="line"><a name="l01319"></a><span class="lineno"> 1319</span>  <span class="stringliteral">"for BFloat16 input."</span>);</div> |
| <div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  }</div> |
| <div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  }</div> |
| <div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  {</div> |
| <div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  }</div> |
| <div class="line"><a name="l01326"></a><span class="lineno"> 1326</span> }</div> |
| <div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  </div> |
| <div class="line"><a name="l01328"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convolution3d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1328</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_convolution3d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">Convolution3dQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01329"></a><span class="lineno"> 1329</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"Convolution3dQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  </div> |
| <div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  uint32_t numInputs = 2;</div> |
| <div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  {</div> |
| <div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  numInputs = 3;</div> |
| <div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  }</div> |
| <div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  ValidateNumInputs(workloadInfo, descriptorName, numInputs);</div> |
| <div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  </div> |
| <div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  </div> |
| <div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 5, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 5, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  </div> |
| <div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weightTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(weightTensorInfo, descriptorName, 5, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  </div> |
| <div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  </div> |
| <div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a> optionalBiasTensorInfo;</div> |
| <div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>  {</div> |
| <div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  optionalBiasTensorInfo = MakeOptional<TensorInfo>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2]);</div> |
| <div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasTensorInfo = optionalBiasTensorInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>();</div> |
| <div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  </div> |
| <div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  ValidateTensorDataType(biasTensorInfo, <a class="code" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), descriptorName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  }</div> |
| <div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>  </div> |
| <div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> <= 0 || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> <= 0 || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a> <= 0 )</div> |
| <div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  {</div> |
| <div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  fmt::format(<span class="stringliteral">"{}: strideX (provided {}), strideY (provided {}) or strideZ (provided {})"</span></div> |
| <div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  <span class="stringliteral">"cannot be either negative or 0."</span>,</div> |
| <div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  descriptorName, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">m_StrideZ</a>));</div> |
| <div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  }</div> |
| <div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  </div> |
| <div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  ValidatePerAxisQuantization(inputTensorInfo,</div> |
| <div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  weightTensorInfo,</div> |
| <div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>  optionalBiasTensorInfo,</div> |
| <div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  descriptorName);</div> |
| <div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  </div> |
| <div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  {</div> |
| <div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div> |
| <div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  };</div> |
| <div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>  </div> |
| <div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01387"></a><span class="lineno"> 1387</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01388"></a><span class="lineno"> 1388</span> }</div> |
| <div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>  </div> |
| <div class="line"><a name="l01390"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1390</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">DepthwiseConvolution2dQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01391"></a><span class="lineno"> 1391</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"DepthwiseConvolution2dQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01393"></a><span class="lineno"> 1393</span>  </div> |
| <div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>  uint32_t numInputs = 2;</div> |
| <div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>  {</div> |
| <div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>  numInputs = 3;</div> |
| <div class="line"><a name="l01398"></a><span class="lineno"> 1398</span>  }</div> |
| <div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>  </div> |
| <div class="line"><a name="l01400"></a><span class="lineno"> 1400</span>  ValidateNumInputs(workloadInfo, descriptorName, numInputs);</div> |
| <div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>  </div> |
| <div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01404"></a><span class="lineno"> 1404</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>  </div> |
| <div class="line"><a name="l01406"></a><span class="lineno"> 1406</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>  </div> |
| <div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weightTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l01410"></a><span class="lineno"> 1410</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(weightTensorInfo, descriptorName, 4, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>  </div> |
| <div class="line"><a name="l01412"></a><span class="lineno"> 1412</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> < 1 || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> < 1 )</div> |
| <div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>  {</div> |
| <div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>  fmt::format(<span class="stringliteral">"{}: dilationX (provided {}) and dilationY (provided {}) "</span></div> |
| <div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>  <span class="stringliteral">"cannot be smaller than 1."</span>,</div> |
| <div class="line"><a name="l01417"></a><span class="lineno"> 1417</span>  descriptorName, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>));</div> |
| <div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>  }</div> |
| <div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>  </div> |
| <div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> <= 0 || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> <= 0 )</div> |
| <div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>  {</div> |
| <div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>  fmt::format(<span class="stringliteral">"{}: strideX (provided {}) and strideY (provided {}) "</span></div> |
| <div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>  <span class="stringliteral">"cannot be either negative or 0."</span>,</div> |
| <div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>  descriptorName, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>));</div> |
| <div class="line"><a name="l01426"></a><span class="lineno"> 1426</span>  }</div> |
| <div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>  </div> |
| <div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>  <span class="keywordflow">if</span> (weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] != 1)</div> |
| <div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>  {</div> |
| <div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>  <span class="stringliteral">"{0}: The weight format in armnn is expected to be [1, H, W, Cout]."</span></div> |
| <div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>  <span class="stringliteral">"But first dimension is not equal to 1. Provided weight shape: [{1}, {2}, {3}, {4}]"</span>,</div> |
| <div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>  descriptorName,</div> |
| <div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0],</div> |
| <div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1],</div> |
| <div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2],</div> |
| <div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3]));</div> |
| <div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>  }</div> |
| <div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>  </div> |
| <div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelIndex = (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) ? 1 : 3;</div> |
| <div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numWeightOutputChannelsRefFormat = weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3];</div> |
| <div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numWeightOutputChannelsAclFormat = weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1];</div> |
| <div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputChannels = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[channelIndex];</div> |
| <div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>  </div> |
| <div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>  <span class="comment">// Weights format has two valid options: [1, H, W, Cout] (CpuRef) or [1, Cout, H, W] (CpuAcc/GpuAcc).</span></div> |
| <div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>  <span class="keywordtype">bool</span> validRefFormat = (numWeightOutputChannelsRefFormat == numOutputChannels);</div> |
| <div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>  <span class="keywordtype">bool</span> validAclFormat = (numWeightOutputChannelsAclFormat == numOutputChannels);</div> |
| <div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>  </div> |
| <div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>  <span class="keywordflow">if</span> (!(validRefFormat || validAclFormat))</div> |
| <div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>  {</div> |
| <div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>  <span class="stringliteral">"{0}: The weight format in armnn is expected to be [1, H, W, Cout] (CpuRef) or [1, Cout, H, W] "</span></div> |
| <div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>  <span class="stringliteral">"(CpuAcc/GpuAcc). But neither the 4th (CpuRef) or 2nd (CpuAcc/GpuAcc) dimension is equal to Cout."</span></div> |
| <div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>  <span class="stringliteral">"Cout = {1} Provided weight shape: [{2}, {3}, {4}, {5}]"</span>,</div> |
| <div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>  descriptorName,</div> |
| <div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>  numOutputChannels,</div> |
| <div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0],</div> |
| <div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1],</div> |
| <div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2],</div> |
| <div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>  weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[3]));</div> |
| <div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>  }</div> |
| <div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>  </div> |
| <div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>  ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>  </div> |
| <div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a> optionalBiasTensorInfo;</div> |
| <div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>  {</div> |
| <div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>  optionalBiasTensorInfo = MakeOptional<TensorInfo>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2]);</div> |
| <div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasTensorInfo = optionalBiasTensorInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>();</div> |
| <div class="line"><a name="l01470"></a><span class="lineno"> 1470</span>  </div> |
| <div class="line"><a name="l01471"></a><span class="lineno"> 1471</span>  ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>  ValidateTensorDataType(biasTensorInfo, <a class="code" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), descriptorName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>  }</div> |
| <div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>  ValidatePerAxisQuantization(inputTensorInfo,</div> |
| <div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>  weightTensorInfo,</div> |
| <div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>  optionalBiasTensorInfo,</div> |
| <div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>  descriptorName);</div> |
| <div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>  </div> |
| <div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>  {</div> |
| <div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>  };</div> |
| <div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>  </div> |
| <div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01492"></a><span class="lineno"> 1492</span> }</div> |
| <div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>  </div> |
| <div class="line"><a name="l01494"></a><span class="lineno"><a class="line" href="structarmnn_1_1_permute_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1494</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_permute_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">PermuteQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01495"></a><span class="lineno"> 1495</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"PermuteQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>  </div> |
| <div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>  </div> |
| <div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.html">PermutationVector</a>& mapping = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_permute_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>;</div> |
| <div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>  </div> |
| <div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>  </div> |
| <div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, mapping.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(), <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, mapping.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(), <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>  </div> |
| <div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < mapping.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(); ++i)</div> |
| <div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>  {</div> |
| <div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i] != outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[mapping[i]])</div> |
| <div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>  {</div> |
| <div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": src dimension "</span> + to_string(i) +</div> |
| <div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>  <span class="stringliteral">" (="</span> + to_string(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i]) + <span class="stringliteral">") "</span> +</div> |
| <div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>  <span class="stringliteral">"must match dst dimension "</span> + to_string(mapping[i]) +</div> |
| <div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>  <span class="stringliteral">" (="</span> + to_string(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[mapping[i]]) + <span class="stringliteral">")"</span>);</div> |
| <div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>  }</div> |
| <div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>  }</div> |
| <div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>  </div> |
| <div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01521"></a><span class="lineno"> 1521</span> }</div> |
| <div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>  </div> |
| <div class="line"><a name="l01523"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1523</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_pooling2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">Pooling2dQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01524"></a><span class="lineno"> 1524</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"Pooling2dQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>  </div> |
| <div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>  </div> |
| <div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>  </div> |
| <div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>  </div> |
| <div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>  {</div> |
| <div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01539"></a><span class="lineno"> 1539</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01540"></a><span class="lineno"> 1540</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01541"></a><span class="lineno"> 1541</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01542"></a><span class="lineno"> 1542</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01543"></a><span class="lineno"> 1543</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01544"></a><span class="lineno"> 1544</span>  };</div> |
| <div class="line"><a name="l01545"></a><span class="lineno"> 1545</span>  </div> |
| <div class="line"><a name="l01546"></a><span class="lineno"> 1546</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01547"></a><span class="lineno"> 1547</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01548"></a><span class="lineno"> 1548</span> }</div> |
| <div class="line"><a name="l01549"></a><span class="lineno"> 1549</span>  </div> |
| <div class="line"><a name="l01550"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pooling3d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1550</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_pooling3d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">Pooling3dQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01551"></a><span class="lineno"> 1551</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01552"></a><span class="lineno"> 1552</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"Pooling3dQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01553"></a><span class="lineno"> 1553</span>  </div> |
| <div class="line"><a name="l01554"></a><span class="lineno"> 1554</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01555"></a><span class="lineno"> 1555</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01556"></a><span class="lineno"> 1556</span>  </div> |
| <div class="line"><a name="l01557"></a><span class="lineno"> 1557</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01558"></a><span class="lineno"> 1558</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01559"></a><span class="lineno"> 1559</span>  </div> |
| <div class="line"><a name="l01560"></a><span class="lineno"> 1560</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 5, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01561"></a><span class="lineno"> 1561</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 5, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01562"></a><span class="lineno"> 1562</span>  </div> |
| <div class="line"><a name="l01563"></a><span class="lineno"> 1563</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01564"></a><span class="lineno"> 1564</span>  {</div> |
| <div class="line"><a name="l01565"></a><span class="lineno"> 1565</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01566"></a><span class="lineno"> 1566</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01567"></a><span class="lineno"> 1567</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01568"></a><span class="lineno"> 1568</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01569"></a><span class="lineno"> 1569</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01570"></a><span class="lineno"> 1570</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01571"></a><span class="lineno"> 1571</span>  };</div> |
| <div class="line"><a name="l01572"></a><span class="lineno"> 1572</span>  </div> |
| <div class="line"><a name="l01573"></a><span class="lineno"> 1573</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01574"></a><span class="lineno"> 1574</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01575"></a><span class="lineno"> 1575</span> }</div> |
| <div class="line"><a name="l01576"></a><span class="lineno"> 1576</span>  </div> |
| <div class="line"><a name="l01577"></a><span class="lineno"><a class="line" href="structarmnn_1_1_resize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1577</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_resize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ResizeQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01578"></a><span class="lineno"> 1578</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01579"></a><span class="lineno"> 1579</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ResizeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01580"></a><span class="lineno"> 1580</span>  </div> |
| <div class="line"><a name="l01581"></a><span class="lineno"> 1581</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01582"></a><span class="lineno"> 1582</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01583"></a><span class="lineno"> 1583</span>  </div> |
| <div class="line"><a name="l01584"></a><span class="lineno"> 1584</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01585"></a><span class="lineno"> 1585</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01586"></a><span class="lineno"> 1586</span>  </div> |
| <div class="line"><a name="l01587"></a><span class="lineno"> 1587</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01588"></a><span class="lineno"> 1588</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01589"></a><span class="lineno"> 1589</span>  </div> |
| <div class="line"><a name="l01590"></a><span class="lineno"> 1590</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01591"></a><span class="lineno"> 1591</span>  {</div> |
| <div class="line"><a name="l01592"></a><span class="lineno"> 1592</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01593"></a><span class="lineno"> 1593</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01594"></a><span class="lineno"> 1594</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01595"></a><span class="lineno"> 1595</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01596"></a><span class="lineno"> 1596</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01597"></a><span class="lineno"> 1597</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l01598"></a><span class="lineno"> 1598</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01599"></a><span class="lineno"> 1599</span>  };</div> |
| <div class="line"><a name="l01600"></a><span class="lineno"> 1600</span>  </div> |
| <div class="line"><a name="l01601"></a><span class="lineno"> 1601</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01602"></a><span class="lineno"> 1602</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01603"></a><span class="lineno"> 1603</span>  </div> |
| <div class="line"><a name="l01604"></a><span class="lineno"> 1604</span>  <span class="comment">// Resize only changes width and height: batch and channel count must match.</span></div> |
| <div class="line"><a name="l01605"></a><span class="lineno"> 1605</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div> |
| <div class="line"><a name="l01606"></a><span class="lineno"> 1606</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div> |
| <div class="line"><a name="l01607"></a><span class="lineno"> 1607</span>  <span class="keywordflow">if</span> (inputBatchSize != outputBatchSize)</div> |
| <div class="line"><a name="l01608"></a><span class="lineno"> 1608</span>  {</div> |
| <div class="line"><a name="l01609"></a><span class="lineno"> 1609</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l01610"></a><span class="lineno"> 1610</span>  fmt::format(<span class="stringliteral">"{}: Input batch size ({}) does not match output batch size ({})"</span>,</div> |
| <div class="line"><a name="l01611"></a><span class="lineno"> 1611</span>  descriptorName, inputBatchSize, outputBatchSize));</div> |
| <div class="line"><a name="l01612"></a><span class="lineno"> 1612</span>  }</div> |
| <div class="line"><a name="l01613"></a><span class="lineno"> 1613</span>  </div> |
| <div class="line"><a name="l01614"></a><span class="lineno"> 1614</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dimensionIndices(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| <div class="line"><a name="l01615"></a><span class="lineno"> 1615</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannelCount = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a861b2621ee46e4b63379988b360b8cd9">GetChannelsIndex</a>()];</div> |
| <div class="line"><a name="l01616"></a><span class="lineno"> 1616</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannelCount = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a861b2621ee46e4b63379988b360b8cd9">GetChannelsIndex</a>()];</div> |
| <div class="line"><a name="l01617"></a><span class="lineno"> 1617</span>  <span class="keywordflow">if</span> (inputChannelCount != outputChannelCount)</div> |
| <div class="line"><a name="l01618"></a><span class="lineno"> 1618</span>  {</div> |
| <div class="line"><a name="l01619"></a><span class="lineno"> 1619</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l01620"></a><span class="lineno"> 1620</span>  fmt::format(<span class="stringliteral">"{}: Input channel count ({}) does not match output channel count ({})"</span>,</div> |
| <div class="line"><a name="l01621"></a><span class="lineno"> 1621</span>  descriptorName, inputChannelCount, outputChannelCount));</div> |
| <div class="line"><a name="l01622"></a><span class="lineno"> 1622</span>  }</div> |
| <div class="line"><a name="l01623"></a><span class="lineno"> 1623</span> }</div> |
| <div class="line"><a name="l01624"></a><span class="lineno"> 1624</span>  </div> |
| <div class="line"><a name="l01625"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reverse_v2_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1625</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_reverse_v2_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ReverseV2QueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01626"></a><span class="lineno"> 1626</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01627"></a><span class="lineno"> 1627</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ReverseV2QueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01628"></a><span class="lineno"> 1628</span>  </div> |
| <div class="line"><a name="l01629"></a><span class="lineno"> 1629</span>  <span class="comment">// Backend restriction</span></div> |
| <div class="line"><a name="l01630"></a><span class="lineno"> 1630</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maxDimensions = 4;</div> |
| <div class="line"><a name="l01631"></a><span class="lineno"> 1631</span>  </div> |
| <div class="line"><a name="l01632"></a><span class="lineno"> 1632</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l01633"></a><span class="lineno"> 1633</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01634"></a><span class="lineno"> 1634</span>  </div> |
| <div class="line"><a name="l01635"></a><span class="lineno"> 1635</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01636"></a><span class="lineno"> 1636</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& axisTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l01637"></a><span class="lineno"> 1637</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01638"></a><span class="lineno"> 1638</span>  </div> |
| <div class="line"><a name="l01639"></a><span class="lineno"> 1639</span>  <span class="keyword">const</span> <span class="keyword">auto</span> inputTensorNumDimensions = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l01640"></a><span class="lineno"> 1640</span>  <span class="keywordflow">if</span> (inputTensorNumDimensions > maxDimensions)</div> |
| <div class="line"><a name="l01641"></a><span class="lineno"> 1641</span>  {</div> |
| <div class="line"><a name="l01642"></a><span class="lineno"> 1642</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l01643"></a><span class="lineno"> 1643</span>  <span class="stringliteral">": Input tensors with rank greater than "</span> +</div> |
| <div class="line"><a name="l01644"></a><span class="lineno"> 1644</span>  std::to_string(maxDimensions) + <span class="stringliteral">" are not supported."</span>);</div> |
| <div class="line"><a name="l01645"></a><span class="lineno"> 1645</span>  }</div> |
| <div class="line"><a name="l01646"></a><span class="lineno"> 1646</span>  </div> |
| <div class="line"><a name="l01647"></a><span class="lineno"> 1647</span>  <span class="keyword">const</span> <span class="keyword">auto</span> axisTensorNumDimensions = axisTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l01648"></a><span class="lineno"> 1648</span>  <span class="keywordflow">if</span> (axisTensorNumDimensions > maxDimensions)</div> |
| <div class="line"><a name="l01649"></a><span class="lineno"> 1649</span>  {</div> |
| <div class="line"><a name="l01650"></a><span class="lineno"> 1650</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l01651"></a><span class="lineno"> 1651</span>  <span class="stringliteral">": More than "</span> + std::to_string(maxDimensions) + <span class="stringliteral">" axes cannot be specified."</span>);</div> |
| <div class="line"><a name="l01652"></a><span class="lineno"> 1652</span>  }</div> |
| <div class="line"><a name="l01653"></a><span class="lineno"> 1653</span>  </div> |
| <div class="line"><a name="l01654"></a><span class="lineno"> 1654</span>  <span class="keywordflow">if</span> (axisTensorNumDimensions > inputTensorNumDimensions)</div> |
| <div class="line"><a name="l01655"></a><span class="lineno"> 1655</span>  {</div> |
| <div class="line"><a name="l01656"></a><span class="lineno"> 1656</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l01657"></a><span class="lineno"> 1657</span>  <span class="stringliteral">": More axes specified than the number of axes on the input tensor."</span>);</div> |
| <div class="line"><a name="l01658"></a><span class="lineno"> 1658</span>  }</div> |
| <div class="line"><a name="l01659"></a><span class="lineno"> 1659</span>  </div> |
| <div class="line"><a name="l01660"></a><span class="lineno"> 1660</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01661"></a><span class="lineno"> 1661</span>  {</div> |
| <div class="line"><a name="l01662"></a><span class="lineno"> 1662</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01663"></a><span class="lineno"> 1663</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01664"></a><span class="lineno"> 1664</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01665"></a><span class="lineno"> 1665</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01666"></a><span class="lineno"> 1666</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01667"></a><span class="lineno"> 1667</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l01668"></a><span class="lineno"> 1668</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l01669"></a><span class="lineno"> 1669</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l01670"></a><span class="lineno"> 1670</span>  };</div> |
| <div class="line"><a name="l01671"></a><span class="lineno"> 1671</span>  </div> |
| <div class="line"><a name="l01672"></a><span class="lineno"> 1672</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01673"></a><span class="lineno"> 1673</span>  </div> |
| <div class="line"><a name="l01674"></a><span class="lineno"> 1674</span>  std::vector<DataType> axisSupportedTypes =</div> |
| <div class="line"><a name="l01675"></a><span class="lineno"> 1675</span>  {</div> |
| <div class="line"><a name="l01676"></a><span class="lineno"> 1676</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l01677"></a><span class="lineno"> 1677</span>  };</div> |
| <div class="line"><a name="l01678"></a><span class="lineno"> 1678</span>  </div> |
| <div class="line"><a name="l01679"></a><span class="lineno"> 1679</span>  ValidateDataTypes(axisTensorInfo, axisSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01680"></a><span class="lineno"> 1680</span>  </div> |
| <div class="line"><a name="l01681"></a><span class="lineno"> 1681</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01682"></a><span class="lineno"> 1682</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01683"></a><span class="lineno"> 1683</span> }</div> |
| <div class="line"><a name="l01684"></a><span class="lineno"> 1684</span>  </div> |
| <div class="line"><a name="l01685"></a><span class="lineno"><a class="line" href="structarmnn_1_1_fake_quantization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1685</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_fake_quantization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">FakeQuantizationQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01686"></a><span class="lineno"> 1686</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01687"></a><span class="lineno"> 1687</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"FakeQuantizationQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01688"></a><span class="lineno"> 1688</span>  </div> |
| <div class="line"><a name="l01689"></a><span class="lineno"> 1689</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01690"></a><span class="lineno"> 1690</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01691"></a><span class="lineno"> 1691</span>  </div> |
| <div class="line"><a name="l01692"></a><span class="lineno"> 1692</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01693"></a><span class="lineno"> 1693</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01694"></a><span class="lineno"> 1694</span>  </div> |
| <div class="line"><a name="l01695"></a><span class="lineno"> 1695</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 2, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01696"></a><span class="lineno"> 1696</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 2, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01697"></a><span class="lineno"> 1697</span>  </div> |
| <div class="line"><a name="l01698"></a><span class="lineno"> 1698</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01699"></a><span class="lineno"> 1699</span>  </div> |
| <div class="line"><a name="l01700"></a><span class="lineno"> 1700</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.html#a4c14a8e0d126891dd0c38e7584312bfd">m_Min</a> > <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.html#ad3729c591f7bfda7ad9ef9927d8a1bd6">m_Max</a>)</div> |
| <div class="line"><a name="l01701"></a><span class="lineno"> 1701</span>  {</div> |
| <div class="line"><a name="l01702"></a><span class="lineno"> 1702</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": min cannot be greater than max"</span>);</div> |
| <div class="line"><a name="l01703"></a><span class="lineno"> 1703</span>  }</div> |
| <div class="line"><a name="l01704"></a><span class="lineno"> 1704</span> }</div> |
| <div class="line"><a name="l01705"></a><span class="lineno"> 1705</span>  </div> |
| <div class="line"><a name="l01706"></a><span class="lineno"><a class="line" href="structarmnn_1_1_instance_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1706</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_instance_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">InstanceNormalizationQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01707"></a><span class="lineno"> 1707</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01708"></a><span class="lineno"> 1708</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"InstanceNormalizationQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01709"></a><span class="lineno"> 1709</span>  </div> |
| <div class="line"><a name="l01710"></a><span class="lineno"> 1710</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01711"></a><span class="lineno"> 1711</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01712"></a><span class="lineno"> 1712</span>  </div> |
| <div class="line"><a name="l01713"></a><span class="lineno"> 1713</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01714"></a><span class="lineno"> 1714</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01715"></a><span class="lineno"> 1715</span>  </div> |
| <div class="line"><a name="l01716"></a><span class="lineno"> 1716</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > 4)</div> |
| <div class="line"><a name="l01717"></a><span class="lineno"> 1717</span>  {</div> |
| <div class="line"><a name="l01718"></a><span class="lineno"> 1718</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensors with rank greater than 4 are not supported."</span>);</div> |
| <div class="line"><a name="l01719"></a><span class="lineno"> 1719</span>  }</div> |
| <div class="line"><a name="l01720"></a><span class="lineno"> 1720</span>  </div> |
| <div class="line"><a name="l01721"></a><span class="lineno"> 1721</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01722"></a><span class="lineno"> 1722</span>  </div> |
| <div class="line"><a name="l01723"></a><span class="lineno"> 1723</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l01724"></a><span class="lineno"> 1724</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01725"></a><span class="lineno"> 1725</span>  {</div> |
| <div class="line"><a name="l01726"></a><span class="lineno"> 1726</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01727"></a><span class="lineno"> 1727</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01728"></a><span class="lineno"> 1728</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> |
| <div class="line"><a name="l01729"></a><span class="lineno"> 1729</span>  };</div> |
| <div class="line"><a name="l01730"></a><span class="lineno"> 1730</span>  </div> |
| <div class="line"><a name="l01731"></a><span class="lineno"> 1731</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01732"></a><span class="lineno"> 1732</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01733"></a><span class="lineno"> 1733</span> }</div> |
| <div class="line"><a name="l01734"></a><span class="lineno"> 1734</span>  </div> |
| <div class="line"><a name="l01735"></a><span class="lineno"><a class="line" href="structarmnn_1_1_l2_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1735</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_l2_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">L2NormalizationQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01736"></a><span class="lineno"> 1736</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01737"></a><span class="lineno"> 1737</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"L2NormalizationQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01738"></a><span class="lineno"> 1738</span>  </div> |
| <div class="line"><a name="l01739"></a><span class="lineno"> 1739</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01740"></a><span class="lineno"> 1740</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01741"></a><span class="lineno"> 1741</span>  </div> |
| <div class="line"><a name="l01742"></a><span class="lineno"> 1742</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01743"></a><span class="lineno"> 1743</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01744"></a><span class="lineno"> 1744</span>  </div> |
| <div class="line"><a name="l01745"></a><span class="lineno"> 1745</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() > 4)</div> |
| <div class="line"><a name="l01746"></a><span class="lineno"> 1746</span>  {</div> |
| <div class="line"><a name="l01747"></a><span class="lineno"> 1747</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensors with rank greater than 4 are not supported."</span>);</div> |
| <div class="line"><a name="l01748"></a><span class="lineno"> 1748</span>  }</div> |
| <div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  </div> |
| <div class="line"><a name="l01750"></a><span class="lineno"> 1750</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  </div> |
| <div class="line"><a name="l01752"></a><span class="lineno"> 1752</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  {</div> |
| <div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  };</div> |
| <div class="line"><a name="l01762"></a><span class="lineno"> 1762</span>  </div> |
| <div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01765"></a><span class="lineno"> 1765</span> }</div> |
| <div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  </div> |
| <div class="line"><a name="l01767"></a><span class="lineno"><a class="line" href="structarmnn_1_1_log_softmax_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1767</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">LogSoftmaxQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01768"></a><span class="lineno"> 1768</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"LogSoftmaxQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01770"></a><span class="lineno"> 1770</span>  </div> |
| <div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01773"></a><span class="lineno"> 1773</span>  </div> |
| <div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  </div> |
| <div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  </div> |
| <div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  {</div> |
| <div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  };</div> |
| <div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>  </div> |
| <div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01788"></a><span class="lineno"> 1788</span> }</div> |
| <div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  </div> |
| <div class="line"><a name="l01790"></a><span class="lineno"><a class="line" href="structarmnn_1_1_constant_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1790</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ConstantQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01791"></a><span class="lineno"> 1791</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01792"></a><span class="lineno"> 1792</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ConstantQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  </div> |
| <div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  ValidateNumInputs(workloadInfo, descriptorName, 0);</div> |
| <div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  </div> |
| <div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>)</div> |
| <div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  {</div> |
| <div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": No const input specified."</span>);</div> |
| <div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  }</div> |
| <div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  </div> |
| <div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  ValidateTensorShapesMatch(<a class="code" href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">m_LayerOutput</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), outputTensorInfo, descriptorName, <span class="stringliteral">"constant"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01804"></a><span class="lineno"> 1804</span>  </div> |
| <div class="line"><a name="l01805"></a><span class="lineno"> 1805</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  {</div> |
| <div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01813"></a><span class="lineno"> 1813</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  };</div> |
| <div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  </div> |
| <div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01819"></a><span class="lineno"> 1819</span> }</div> |
| <div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  </div> |
| <div class="line"><a name="l01821"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reshape_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1821</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_reshape_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ReshapeQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01822"></a><span class="lineno"> 1822</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ReshapeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  </div> |
| <div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  </div> |
| <div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  </div> |
| <div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  ValidateTensorNumElementsMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  </div> |
| <div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  <span class="comment">// Check the supported data types</span></div> |
| <div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  {</div> |
| <div class="line"><a name="l01836"></a><span class="lineno"> 1836</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01837"></a><span class="lineno"> 1837</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div> |
| <div class="line"><a name="l01844"></a><span class="lineno"> 1844</span>  };</div> |
| <div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  </div> |
| <div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01848"></a><span class="lineno"> 1848</span> }</div> |
| <div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  </div> |
| <div class="line"><a name="l01850"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1850</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">SpaceToBatchNdQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01851"></a><span class="lineno"> 1851</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SpaceToBatchNdQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>  </div> |
| <div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  </div> |
| <div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01858"></a><span class="lineno"> 1858</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  </div> |
| <div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.size())</div> |
| <div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  {</div> |
| <div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Pad List must contain the same number of "</span></div> |
| <div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  <span class="stringliteral">"dimensions as Block Shape."</span>);</div> |
| <div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  }</div> |
| <div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  </div> |
| <div class="line"><a name="l01866"></a><span class="lineno"> 1866</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 2)</div> |
| <div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  {</div> |
| <div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>  }</div> |
| <div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 1)</div> |
| <div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>  {</div> |
| <div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 3, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 3, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>  }</div> |
| <div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  {</div> |
| <div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid Block and Crops size."</span>);</div> |
| <div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  }</div> |
| <div class="line"><a name="l01880"></a><span class="lineno"> 1880</span>  </div> |
| <div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>  <span class="comment">// Check input + padding and output have the same number of elements</span></div> |
| <div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dimensionIndices(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| <div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>()] +</div> |
| <div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].first + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].second;</div> |
| <div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 3) ? 1 :</div> |
| <div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>()] +</div> |
| <div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].first + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].second;</div> |
| <div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>  </div> |
| <div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> channelsIndex_int = (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) ? 1 : -1;</div> |
| <div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelsIndex = channelsIndex_int < 0 ?</div> |
| <div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(channelsIndex_int) + inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()</div> |
| <div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>  : <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(channelsIndex_int);</div> |
| <div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>  </div> |
| <div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputElements = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] *</div> |
| <div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  inputHeight *</div> |
| <div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>  inputWidth *</div> |
| <div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[channelsIndex];</div> |
| <div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>  </div> |
| <div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() != numInputElements)</div> |
| <div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>  {</div> |
| <div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensor has "</span> +</div> |
| <div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>  to_string(numInputElements) + <span class="stringliteral">" after padding but output tensor has "</span> +</div> |
| <div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>  to_string(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>()) + <span class="stringliteral">" elements."</span>);</div> |
| <div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>  }</div> |
| <div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>  </div> |
| <div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>  <span class="comment">// In a 4D tensor, there will be 2 spatialDimensions (H and W), and the for loop will run twice.</span></div> |
| <div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>  <span class="comment">// In a 3D tensor, there will be 1 spatialDimensions, and the for loop will run once.</span></div> |
| <div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> firstSpatialDimension = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> ? 2 : 1;</div> |
| <div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size(); ++i)</div> |
| <div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  {</div> |
| <div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> spatialDimension = firstSpatialDimension + i;</div> |
| <div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  <span class="keyword">auto</span> inputSize = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[spatialDimension] +</div> |
| <div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[i].first +</div> |
| <div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[i].second;</div> |
| <div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  <span class="keywordflow">if</span> (inputSize % <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[i] != 0)</div> |
| <div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  {</div> |
| <div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input dimension size after padding must be "</span></div> |
| <div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  <span class="stringliteral">"divisible by Block Shape in dimension: "</span> + to_string(spatialDimension) + <span class="stringliteral">"."</span>);</div> |
| <div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>  }</div> |
| <div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  }</div> |
| <div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  </div> |
| <div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  {</div> |
| <div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  };</div> |
| <div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  </div> |
| <div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01934"></a><span class="lineno"> 1934</span> }</div> |
| <div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  </div> |
| <div class="line"><a name="l01936"></a><span class="lineno"><a class="line" href="structarmnn_1_1_space_to_depth_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1936</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_space_to_depth_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">SpaceToDepthQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01937"></a><span class="lineno"> 1937</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SpaceToDepthQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  </div> |
| <div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  </div> |
| <div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  </div> |
| <div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  </div> |
| <div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  {</div> |
| <div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  };</div> |
| <div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  </div> |
| <div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  </div> |
| <div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  ValidateTensorNumElementsMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  </div> |
| <div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> == 0)</div> |
| <div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  {</div> |
| <div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Block size cannot be 0."</span>);</div> |
| <div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  }</div> |
| <div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  </div> |
| <div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dimensionIndices(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| <div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wIndex = dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>();</div> |
| <div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hIndex = dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>();</div> |
| <div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cIndex = dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a861b2621ee46e4b63379988b360b8cd9">GetChannelsIndex</a>();</div> |
| <div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  </div> |
| <div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  <span class="keywordflow">if</span> (inputShape[hIndex] % <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> != 0 || inputShape[wIndex] % <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> != 0)</div> |
| <div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  {</div> |
| <div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input shape must be divisible "</span></div> |
| <div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  <span class="stringliteral">"by block size in all spatial dimensions"</span>);</div> |
| <div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  }</div> |
| <div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  </div> |
| <div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  <span class="keywordflow">if</span> (outputShape[cIndex] % (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> * <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>) != 0)</div> |
| <div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  {</div> |
| <div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": The depth of the output tensor"</span></div> |
| <div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  <span class="stringliteral">"must be divisible by the square of block size."</span> );</div> |
| <div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  }</div> |
| <div class="line"><a name="l01987"></a><span class="lineno"> 1987</span> }</div> |
| <div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  </div> |
| <div class="line"><a name="l01989"></a><span class="lineno"><a class="line" href="structarmnn_1_1_floor_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 1989</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_floor_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">FloorQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l01990"></a><span class="lineno"> 1990</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"FloorQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  </div> |
| <div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  </div> |
| <div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  </div> |
| <div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  {</div> |
| <div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  };</div> |
| <div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  </div> |
| <div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  ValidateTensorQuantizationSpace(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02011"></a><span class="lineno"> 2011</span> }</div> |
| <div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  </div> |
| <div class="line"><a name="l02013"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2013</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">LstmQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02014"></a><span class="lineno"> 2014</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  <span class="comment">// ported from android/ml/nn/common/operations/LSTM.cpp CheckInputTensorDimensions()</span></div> |
| <div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  </div> |
| <div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"LstmQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>  </div> |
| <div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  <span class="comment">// check dimensions of all inputs and outputs</span></div> |
| <div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != 3)</div> |
| <div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  {</div> |
| <div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid number of inputs."</span>);</div> |
| <div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  }</div> |
| <div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != 4)</div> |
| <div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  {</div> |
| <div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid number of outputs."</span>);</div> |
| <div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  }</div> |
| <div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  </div> |
| <div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  {</div> |
| <div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  };</div> |
| <div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  </div> |
| <div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  <span class="comment">// check for supported type of one input and match them with all the other input and output</span></div> |
| <div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  ValidateDataTypes(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  </div> |
| <div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>  <span class="comment">// type matches all other inputs</span></div> |
| <div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  <span class="keywordflow">for</span> (uint32_t i = 1u; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div> |
| <div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>  {</div> |
| <div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>  ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div> |
| <div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i],</div> |
| <div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  descriptorName,</div> |
| <div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>  <span class="stringliteral">"input_"</span> + std::to_string(i));</div> |
| <div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>  }</div> |
| <div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  <span class="comment">// type matches all other outputs</span></div> |
| <div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>  <span class="keywordflow">for</span> (uint32_t i = 0u; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size(); ++i)</div> |
| <div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>  {</div> |
| <div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>  ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div> |
| <div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[i],</div> |
| <div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>  <span class="stringliteral">"LstmQueueDescriptor"</span>,</div> |
| <div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>  <span class="stringliteral">"output_"</span> + std::to_string(i));</div> |
| <div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>  }</div> |
| <div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>  </div> |
| <div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>  <span class="comment">// Making sure clipping parameters have valid values.</span></div> |
| <div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>  <span class="comment">// == 0 means no clipping</span></div> |
| <div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>  <span class="comment">// > 0 means clipping</span></div> |
| <div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> < 0.0f)</div> |
| <div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>  {</div> |
| <div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": negative cell clipping threshold is invalid"</span>);</div> |
| <div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  }</div> |
| <div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> < 0.0f)</div> |
| <div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  {</div> |
| <div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": negative projection clipping threshold is invalid"</span>);</div> |
| <div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>  }</div> |
| <div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>  </div> |
| <div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>  <span class="comment">// Inferring batch size, number of outputs and number of cells from the inputs.</span></div> |
| <div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>  <span class="keyword">const</span> uint32_t n_input = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[1];</div> |
| <div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>  <span class="keyword">const</span> uint32_t n_batch = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[0];</div> |
| <div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  <span class="keyword">const</span> uint32_t n_cell = <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[0];</div> |
| <div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToOutputWeights"</span>);</div> |
| <div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>  <span class="keyword">const</span> uint32_t n_output = <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[1];</div> |
| <div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>  </div> |
| <div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>  <span class="comment">// input tensor</span></div> |
| <div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], 2, (n_batch * n_input),</div> |
| <div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  descriptorName + <span class="stringliteral">" input_0"</span>);</div> |
| <div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>  <span class="comment">// outputStateInTensor</span></div> |
| <div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1], 2, (n_batch * n_output),</div> |
| <div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  descriptorName + <span class="stringliteral">" input_1"</span>);</div> |
| <div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>  <span class="comment">// outputStateInTensor</span></div> |
| <div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2], 2, (n_batch * n_cell),</div> |
| <div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  descriptorName + <span class="stringliteral">" input_2"</span>);</div> |
| <div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>  <span class="comment">// scratchBufferTensor</span></div> |
| <div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> scratchBufferSize = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> ? n_cell * 3 : n_cell * 4;</div> |
| <div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0], 2, (n_batch * scratchBufferSize),</div> |
| <div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>  descriptorName + <span class="stringliteral">" output_0"</span>);</div> |
| <div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>  <span class="comment">// outputStateOutTensor</span></div> |
| <div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[1], 2, (n_batch * n_output),</div> |
| <div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>  descriptorName + <span class="stringliteral">" output_1"</span>);</div> |
| <div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  <span class="comment">// cellStateOutTensor</span></div> |
| <div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[2], 2, (n_batch * n_cell),</div> |
| <div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  descriptorName + <span class="stringliteral">" output_2"</span>);</div> |
| <div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  <span class="comment">// outputTensor</span></div> |
| <div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[3], 2, (n_batch * n_output),</div> |
| <div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  descriptorName + <span class="stringliteral">" output_3"</span>);</div> |
| <div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  </div> |
| <div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>  <span class="comment">// check that dimensions of inputs/outputs and QueueDescriptor data match with each other</span></div> |
| <div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> )</div> |
| <div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  {</div> |
| <div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>  (n_cell * n_input), <span class="stringliteral">"InputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>  }</div> |
| <div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>  </div> |
| <div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  (n_cell * n_input), <span class="stringliteral">"InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>  </div> |
| <div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>  (n_cell * n_input), <span class="stringliteral">"InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>  </div> |
| <div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> )</div> |
| <div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>  {</div> |
| <div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>  }</div> |
| <div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>  </div> |
| <div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  </div> |
| <div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>  </div> |
| <div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>  <span class="comment">// Make sure the input-gate's parameters are either both present (regular</span></div> |
| <div class="line"><a name="l02132"></a><span class="lineno"> 2132</span>  <span class="comment">// LSTM) or not at all (CIFG-LSTM). And CifgEnable is set accordingly.</span></div> |
| <div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  <span class="keywordtype">bool</span> cifg_weights_all_or_none = ((<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> &&</div> |
| <div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>  !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) ||</div> |
| <div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> &&</div> |
| <div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>));</div> |
| <div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>  <span class="keywordflow">if</span> (!cifg_weights_all_or_none)</div> |
| <div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  {</div> |
| <div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input-Gate's parameters InputToInputWeights and "</span></div> |
| <div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>  <span class="stringliteral">"RecurrentToInputWeights must either both be present (regular LSTM) "</span></div> |
| <div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  <span class="stringliteral">"or both not present (CIFG-LSTM). In addition CifgEnable must be set "</span></div> |
| <div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>  <span class="stringliteral">"accordingly."</span>);</div> |
| <div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>  }</div> |
| <div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>  </div> |
| <div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> )</div> |
| <div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>  {</div> |
| <div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  n_cell, <span class="stringliteral">"CellToInputWeights"</span>);</div> |
| <div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  }</div> |
| <div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a> )</div> |
| <div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  {</div> |
| <div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  n_cell, <span class="stringliteral">"CellToForgetWeights"</span>);</div> |
| <div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  }</div> |
| <div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> )</div> |
| <div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>  {</div> |
| <div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>  n_cell, <span class="stringliteral">"CellToOutputWeights"</span>);</div> |
| <div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>  }</div> |
| <div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>  </div> |
| <div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>  <span class="comment">// Making sure the peephole weights are there all or none. And PeepholeEnable is set accordingly.</span></div> |
| <div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>  <span class="keywordtype">bool</span> peephole_weights_all_or_none =</div> |
| <div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  (((<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a></div> |
| <div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> |
| <div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>  || ( !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a></div> |
| <div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> && !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>));</div> |
| <div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>  <span class="keywordflow">if</span> (!peephole_weights_all_or_none)</div> |
| <div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  {</div> |
| <div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid combination of peephole parameters."</span>);</div> |
| <div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>  }</div> |
| <div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>  </div> |
| <div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  <span class="comment">// Make sure the input gate bias is present only when not a CIFG-LSTM.</span></div> |
| <div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>  {</div> |
| <div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>)</div> |
| <div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>  {</div> |
| <div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": InputGateBias is present and CIFG-LSTM is enabled."</span>);</div> |
| <div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>  }</div> |
| <div class="line"><a name="l02179"></a><span class="lineno"> 2179</span>  }</div> |
| <div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>  {</div> |
| <div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>)</div> |
| <div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>  {</div> |
| <div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": If CIFG-LSTM is disabled InputGateBias "</span></div> |
| <div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  <span class="stringliteral">"must be present."</span>);</div> |
| <div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  }</div> |
| <div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l02188"></a><span class="lineno"> 2188</span>  n_cell, <span class="stringliteral">"InputGateBias"</span>);</div> |
| <div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>  }</div> |
| <div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  </div> |
| <div class="line"><a name="l02191"></a><span class="lineno"> 2191</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>  </div> |
| <div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"CellBias"</span>);</div> |
| <div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellBias"</span>);</div> |
| <div class="line"><a name="l02196"></a><span class="lineno"> 2196</span>  </div> |
| <div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"OutputGateBias"</span>);</div> |
| <div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputGateBias"</span>);</div> |
| <div class="line"><a name="l02199"></a><span class="lineno"> 2199</span>  </div> |
| <div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>)</div> |
| <div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  {</div> |
| <div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l02203"></a><span class="lineno"> 2203</span>  (n_cell * n_output), <span class="stringliteral">"ProjectionWeights"</span>);</div> |
| <div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>  }</div> |
| <div class="line"><a name="l02205"></a><span class="lineno"> 2205</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>)</div> |
| <div class="line"><a name="l02206"></a><span class="lineno"> 2206</span>  {</div> |
| <div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_output, <span class="stringliteral">"ProjectionBias"</span>);</div> |
| <div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>  }</div> |
| <div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>  </div> |
| <div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>  <span class="comment">// Making sure the projection tensors are consistent:</span></div> |
| <div class="line"><a name="l02211"></a><span class="lineno"> 2211</span>  <span class="comment">// 1) If projection weight is not present, then projection bias should not be</span></div> |
| <div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>  <span class="comment">// present.</span></div> |
| <div class="line"><a name="l02213"></a><span class="lineno"> 2213</span>  <span class="comment">// 2) If projection weight is present, then projection bias is optional.</span></div> |
| <div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>  <span class="keywordtype">bool</span> projecton_tensors_consistent = ((!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> &&</div> |
| <div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>  !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>  || (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> &&</div> |
| <div class="line"><a name="l02217"></a><span class="lineno"> 2217</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l02218"></a><span class="lineno"> 2218</span>  || (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> &&</div> |
| <div class="line"><a name="l02219"></a><span class="lineno"> 2219</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>));</div> |
| <div class="line"><a name="l02220"></a><span class="lineno"> 2220</span>  <span class="keywordflow">if</span> (!projecton_tensors_consistent)</div> |
| <div class="line"><a name="l02221"></a><span class="lineno"> 2221</span>  {</div> |
| <div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Projection tensors are inconsistent."</span>);</div> |
| <div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>  }</div> |
| <div class="line"><a name="l02224"></a><span class="lineno"> 2224</span>  </div> |
| <div class="line"><a name="l02225"></a><span class="lineno"> 2225</span>  <span class="comment">// The four layer normalization weights either all have values or none of them have values. Additionally, if</span></div> |
| <div class="line"><a name="l02226"></a><span class="lineno"> 2226</span>  <span class="comment">// CIFG is used, input layer normalization weights tensor is omitted and the other layer normalization weights</span></div> |
| <div class="line"><a name="l02227"></a><span class="lineno"> 2227</span>  <span class="comment">// either all have values or none of them have values. Layer normalization is used when the values of all the</span></div> |
| <div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>  <span class="comment">// layer normalization weights are present</span></div> |
| <div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>  {</div> |
| <div class="line"><a name="l02231"></a><span class="lineno"> 2231</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"InputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>  }</div> |
| <div class="line"><a name="l02233"></a><span class="lineno"> 2233</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>)</div> |
| <div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  {</div> |
| <div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>  }</div> |
| <div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>)</div> |
| <div class="line"><a name="l02238"></a><span class="lineno"> 2238</span>  {</div> |
| <div class="line"><a name="l02239"></a><span class="lineno"> 2239</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>  }</div> |
| <div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>  {</div> |
| <div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>  }</div> |
| <div class="line"><a name="l02245"></a><span class="lineno"> 2245</span>  </div> |
| <div class="line"><a name="l02246"></a><span class="lineno"> 2246</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> |
| <div class="line"><a name="l02247"></a><span class="lineno"> 2247</span>  {</div> |
| <div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l02249"></a><span class="lineno"> 2249</span>  {</div> |
| <div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>  {</div> |
| <div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Layer normalisation is enabled and CIFG-LSTM is "</span></div> |
| <div class="line"><a name="l02253"></a><span class="lineno"> 2253</span>  <span class="stringliteral">"disabled but InputLayerNormWeights are not present"</span>);</div> |
| <div class="line"><a name="l02254"></a><span class="lineno"> 2254</span>  }</div> |
| <div class="line"><a name="l02255"></a><span class="lineno"> 2255</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l02256"></a><span class="lineno"> 2256</span>  1, n_cell, <span class="stringliteral">"InputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02257"></a><span class="lineno"> 2257</span>  }</div> |
| <div class="line"><a name="l02258"></a><span class="lineno"> 2258</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>  {</div> |
| <div class="line"><a name="l02260"></a><span class="lineno"> 2260</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">":InputLayerNormWeights are present while CIFG is "</span></div> |
| <div class="line"><a name="l02261"></a><span class="lineno"> 2261</span>  <span class="stringliteral">"enabled"</span>);</div> |
| <div class="line"><a name="l02262"></a><span class="lineno"> 2262</span>  }</div> |
| <div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>  </div> |
| <div class="line"><a name="l02264"></a><span class="lineno"> 2264</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div> |
| <div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>  <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>  </div> |
| <div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div> |
| <div class="line"><a name="l02269"></a><span class="lineno"> 2269</span>  <span class="stringliteral">"OutputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02271"></a><span class="lineno"> 2271</span>  </div> |
| <div class="line"><a name="l02272"></a><span class="lineno"> 2272</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div> |
| <div class="line"><a name="l02273"></a><span class="lineno"> 2273</span>  <span class="stringliteral">"CellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>  }</div> |
| <div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>)</div> |
| <div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>  {</div> |
| <div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Layer normalisation is disabled but one or more layer "</span></div> |
| <div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  <span class="stringliteral">"normalisation weights are present."</span>);</div> |
| <div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>  }</div> |
| <div class="line"><a name="l02281"></a><span class="lineno"> 2281</span> }</div> |
| <div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>  </div> |
| <div class="line"><a name="l02283"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2283</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ConvertFp32ToFp16QueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02284"></a><span class="lineno"> 2284</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ConvertFp32ToFp16QueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>  </div> |
| <div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  </div> |
| <div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>  </div> |
| <div class="line"><a name="l02293"></a><span class="lineno"> 2293</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> |
| <div class="line"><a name="l02294"></a><span class="lineno"> 2294</span>  {</div> |
| <div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensor type must be Float32."</span>);</div> |
| <div class="line"><a name="l02296"></a><span class="lineno"> 2296</span>  }</div> |
| <div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>  </div> |
| <div class="line"><a name="l02298"></a><span class="lineno"> 2298</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div> |
| <div class="line"><a name="l02299"></a><span class="lineno"> 2299</span>  {</div> |
| <div class="line"><a name="l02300"></a><span class="lineno"> 2300</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor type must be Float16."</span>);</div> |
| <div class="line"><a name="l02301"></a><span class="lineno"> 2301</span>  }</div> |
| <div class="line"><a name="l02302"></a><span class="lineno"> 2302</span>  </div> |
| <div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02304"></a><span class="lineno"> 2304</span> }</div> |
| <div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>  </div> |
| <div class="line"><a name="l02306"></a><span class="lineno"><a class="line" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2306</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ConvertFp16ToFp32QueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02307"></a><span class="lineno"> 2307</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02308"></a><span class="lineno"> 2308</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ConvertFp16ToFp32QueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02309"></a><span class="lineno"> 2309</span>  </div> |
| <div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02311"></a><span class="lineno"> 2311</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02312"></a><span class="lineno"> 2312</span>  </div> |
| <div class="line"><a name="l02313"></a><span class="lineno"> 2313</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02314"></a><span class="lineno"> 2314</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02315"></a><span class="lineno"> 2315</span>  </div> |
| <div class="line"><a name="l02316"></a><span class="lineno"> 2316</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div> |
| <div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>  {</div> |
| <div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensor type must be Float16."</span>);</div> |
| <div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  }</div> |
| <div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>  </div> |
| <div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> |
| <div class="line"><a name="l02322"></a><span class="lineno"> 2322</span>  {</div> |
| <div class="line"><a name="l02323"></a><span class="lineno"> 2323</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor type must be Float32."</span>);</div> |
| <div class="line"><a name="l02324"></a><span class="lineno"> 2324</span>  }</div> |
| <div class="line"><a name="l02325"></a><span class="lineno"> 2325</span>  </div> |
| <div class="line"><a name="l02326"></a><span class="lineno"> 2326</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02327"></a><span class="lineno"> 2327</span> }</div> |
| <div class="line"><a name="l02328"></a><span class="lineno"> 2328</span>  </div> |
| <div class="line"><a name="l02329"></a><span class="lineno"><a class="line" href="structarmnn_1_1_division_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2329</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_division_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">DivisionQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02330"></a><span class="lineno"> 2330</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02331"></a><span class="lineno"> 2331</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"DivisionQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>  </div> |
| <div class="line"><a name="l02333"></a><span class="lineno"> 2333</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  </div> |
| <div class="line"><a name="l02336"></a><span class="lineno"> 2336</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02338"></a><span class="lineno"> 2338</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>  </div> |
| <div class="line"><a name="l02340"></a><span class="lineno"> 2340</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  {</div> |
| <div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02344"></a><span class="lineno"> 2344</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02345"></a><span class="lineno"> 2345</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02346"></a><span class="lineno"> 2346</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02347"></a><span class="lineno"> 2347</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02348"></a><span class="lineno"> 2348</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>  };</div> |
| <div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>  </div> |
| <div class="line"><a name="l02351"></a><span class="lineno"> 2351</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02352"></a><span class="lineno"> 2352</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02353"></a><span class="lineno"> 2353</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02354"></a><span class="lineno"> 2354</span>  </div> |
| <div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>  descriptorName,</div> |
| <div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02361"></a><span class="lineno"> 2361</span> }</div> |
| <div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>  </div> |
| <div class="line"><a name="l02363"></a><span class="lineno"><a class="line" href="structarmnn_1_1_subtraction_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2363</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_subtraction_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">SubtractionQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02364"></a><span class="lineno"> 2364</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SubtractionQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>  </div> |
| <div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>  </div> |
| <div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>  </div> |
| <div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>  {</div> |
| <div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02381"></a><span class="lineno"> 2381</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>  };</div> |
| <div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>  </div> |
| <div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>  </div> |
| <div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>  descriptorName,</div> |
| <div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02395"></a><span class="lineno"> 2395</span> }</div> |
| <div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>  </div> |
| <div class="line"><a name="l02397"></a><span class="lineno"><a class="line" href="structarmnn_1_1_maximum_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2397</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_maximum_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MaximumQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02398"></a><span class="lineno"> 2398</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"MaximumQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>  </div> |
| <div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  </div> |
| <div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02407"></a><span class="lineno"> 2407</span>  </div> |
| <div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02409"></a><span class="lineno"> 2409</span>  {</div> |
| <div class="line"><a name="l02410"></a><span class="lineno"> 2410</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02411"></a><span class="lineno"> 2411</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>  };</div> |
| <div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>  </div> |
| <div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  </div> |
| <div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  descriptorName,</div> |
| <div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02429"></a><span class="lineno"> 2429</span> }</div> |
| <div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  </div> |
| <div class="line"><a name="l02431"></a><span class="lineno"><a class="line" href="structarmnn_1_1_mean_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2431</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_mean_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MeanQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02432"></a><span class="lineno"> 2432</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"MeanQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>  </div> |
| <div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>  </div> |
| <div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  </div> |
| <div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>  {</div> |
| <div class="line"><a name="l02443"></a><span class="lineno"> 2443</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02444"></a><span class="lineno"> 2444</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02445"></a><span class="lineno"> 2445</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  };</div> |
| <div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>  </div> |
| <div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>  <span class="comment">// First check if input tensor data type is supported, then</span></div> |
| <div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>  <span class="comment">// check if this data type matches the output tensor data type</span></div> |
| <div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  </div> |
| <div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_mean_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>)</div> |
| <div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  {</div> |
| <div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>  }</div> |
| <div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_mean_descriptor.html#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>.empty())</div> |
| <div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>  {</div> |
| <div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 1, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>  }</div> |
| <div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  {</div> |
| <div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDim =</div> |
| <div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() - armnn::numeric_cast<unsigned int>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_mean_descriptor.html#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>.size());</div> |
| <div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo,</div> |
| <div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  descriptorName,</div> |
| <div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  outputDim > 0 ? outputDim : 1,</div> |
| <div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>  }</div> |
| <div class="line"><a name="l02473"></a><span class="lineno"> 2473</span> }</div> |
| <div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  </div> |
| <div class="line"><a name="l02475"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pad_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2475</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">PadQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02476"></a><span class="lineno"> 2476</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"PadQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  </div> |
| <div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  </div> |
| <div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  </div> |
| <div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  <span class="comment">// input and output should have the same number of dimensions</span></div> |
| <div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  </div> |
| <div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  <span class="comment">// there should be entry in the pad list for each dimension in the input tensor</span></div> |
| <div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.size() != inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()) {</div> |
| <div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">":Pad List should contain the same number of entries "</span></div> |
| <div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  <span class="stringliteral">"as there are dimensions in the input tensor that is "</span> +</div> |
| <div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>  std::to_string(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()) + <span class="stringliteral">" entries "</span> +</div> |
| <div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>  <span class="stringliteral">" not "</span> + std::to_string(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.size()) + <span class="stringliteral">" entries."</span>);</div> |
| <div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>  }</div> |
| <div class="line"><a name="l02495"></a><span class="lineno"> 2495</span> }</div> |
| <div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>  </div> |
| <div class="line"><a name="l02497"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2497</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">QuantizeQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02498"></a><span class="lineno"> 2498</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"QuantizeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  </div> |
| <div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  </div> |
| <div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>  </div> |
| <div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  {</div> |
| <div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  };</div> |
| <div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  </div> |
| <div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>  </div> |
| <div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()))</div> |
| <div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>  {</div> |
| <div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output of quantized layer must be quantized type."</span>);</div> |
| <div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>  }</div> |
| <div class="line"><a name="l02524"></a><span class="lineno"> 2524</span> }</div> |
| <div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  </div> |
| <div class="line"><a name="l02526"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2526</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">BatchToSpaceNdQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02527"></a><span class="lineno"> 2527</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"BatchToSpaceNdQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  </div> |
| <div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>  </div> |
| <div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>  </div> |
| <div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>.size())</div> |
| <div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>  {</div> |
| <div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Crops must contain the same number of "</span></div> |
| <div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  <span class="stringliteral">"dimensions as Block Shape."</span>);</div> |
| <div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  }</div> |
| <div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  </div> |
| <div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 2)</div> |
| <div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  {</div> |
| <div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  }</div> |
| <div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 1)</div> |
| <div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>  {</div> |
| <div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 3, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 3, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>  }</div> |
| <div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>  {</div> |
| <div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid Block and Crops size."</span>);</div> |
| <div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  }</div> |
| <div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  </div> |
| <div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>  <span class="comment">// In a 4D tensor, there will be 2 spatialDimensions (H and W), and the for loop will run twice.</span></div> |
| <div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  <span class="comment">// In a 3D tensor, there will be 1 spatialDimensions, and the for loop will run once.</span></div> |
| <div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> firstSpatialDimension = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> ? 2 : 1;</div> |
| <div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size(); ++i)</div> |
| <div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  {</div> |
| <div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> spatialDimension = firstSpatialDimension + i;</div> |
| <div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cropSize = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>[i].first + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>[i].second;</div> |
| <div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[spatialDimension] * <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[i];</div> |
| <div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>  <span class="keywordflow">if</span> (cropSize > outputSize)</div> |
| <div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>  {</div> |
| <div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": CropSize must be less than or equal to the uncropped"</span></div> |
| <div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>  <span class="stringliteral">"outputSize in dimension: "</span> + to_string(spatialDimension) + <span class="stringliteral">"."</span>);</div> |
| <div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>  }</div> |
| <div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>  }</div> |
| <div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>  </div> |
| <div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  {</div> |
| <div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  };</div> |
| <div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  </div> |
| <div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02584"></a><span class="lineno"> 2584</span> }</div> |
| <div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  </div> |
| <div class="line"><a name="l02586"></a><span class="lineno"><a class="line" href="structarmnn_1_1_strided_slice_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2586</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_strided_slice_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">StridedSliceQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02587"></a><span class="lineno"> 2587</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"StridedSliceQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>  </div> |
| <div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>  </div> |
| <div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>  </div> |
| <div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>  {</div> |
| <div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>  };</div> |
| <div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>  </div> |
| <div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02607"></a><span class="lineno"> 2607</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02608"></a><span class="lineno"> 2608</span>  </div> |
| <div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>  ValidateTensorQuantizationSpace(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>  </div> |
| <div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>  <span class="keyword">const</span> uint32_t rank = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>  <span class="keywordflow">if</span> (rank > 4)</div> |
| <div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>  {</div> |
| <div class="line"><a name="l02614"></a><span class="lineno"> 2614</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensors with rank greater than 4 are not supported."</span>);</div> |
| <div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>  }</div> |
| <div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>  </div> |
| <div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>  <span class="comment">// Begin, End & Stride length must be of rank(input0)</span></div> |
| <div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a118fe06b7c2599da60398ee311ede923">m_Begin</a>.size() != rank)</div> |
| <div class="line"><a name="l02619"></a><span class="lineno"> 2619</span>  {</div> |
| <div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Begin length must be of rank "</span> + std::to_string(rank));</div> |
| <div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>  }</div> |
| <div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>  </div> |
| <div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#aa68194dd6258ab5b04123005a066ea25">m_End</a>.size() != rank)</div> |
| <div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>  {</div> |
| <div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": End length must be of rank "</span> + std::to_string(rank));</div> |
| <div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>  }</div> |
| <div class="line"><a name="l02627"></a><span class="lineno"> 2627</span>  </div> |
| <div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">m_Stride</a>.size() != rank)</div> |
| <div class="line"><a name="l02629"></a><span class="lineno"> 2629</span>  {</div> |
| <div class="line"><a name="l02630"></a><span class="lineno"> 2630</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Stride length must be of rank "</span> + std::to_string(rank));</div> |
| <div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>  }</div> |
| <div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>  </div> |
| <div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>  <span class="comment">// Stride entries must be non-zero</span></div> |
| <div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& stride : <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">m_Stride</a>)</div> |
| <div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>  {</div> |
| <div class="line"><a name="l02636"></a><span class="lineno"> 2636</span>  <span class="keywordflow">if</span> (stride == 0)</div> |
| <div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  {</div> |
| <div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Stride entries must be non-zero."</span>);</div> |
| <div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>  }</div> |
| <div class="line"><a name="l02640"></a><span class="lineno"> 2640</span>  }</div> |
| <div class="line"><a name="l02641"></a><span class="lineno"> 2641</span> }</div> |
| <div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>  </div> |
| <div class="line"><a name="l02643"></a><span class="lineno"><a class="line" href="structarmnn_1_1_minimum_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2643</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_minimum_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MinimumQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02644"></a><span class="lineno"> 2644</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"MinimumQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02646"></a><span class="lineno"> 2646</span>  </div> |
| <div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>  </div> |
| <div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  </div> |
| <div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>  {</div> |
| <div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02659"></a><span class="lineno"> 2659</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02661"></a><span class="lineno"> 2661</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>  };</div> |
| <div class="line"><a name="l02664"></a><span class="lineno"> 2664</span>  </div> |
| <div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>  </div> |
| <div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l02670"></a><span class="lineno"> 2670</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  descriptorName,</div> |
| <div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02675"></a><span class="lineno"> 2675</span> }</div> |
| <div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  </div> |
| <div class="line"><a name="l02677"></a><span class="lineno"><a class="line" href="structarmnn_1_1_debug_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2677</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_debug_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">DebugQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02678"></a><span class="lineno"> 2678</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02679"></a><span class="lineno"> 2679</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"DebugQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>  </div> |
| <div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02683"></a><span class="lineno"> 2683</span> }</div> |
| <div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  </div> |
| <div class="line"><a name="l02685"></a><span class="lineno"><a class="line" href="structarmnn_1_1_equal_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2685</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_equal_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">EqualQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02686"></a><span class="lineno"> 2686</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02687"></a><span class="lineno"> 2687</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"EqualQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02688"></a><span class="lineno"> 2688</span>  </div> |
| <div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  </div> |
| <div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  </div> |
| <div class="line"><a name="l02696"></a><span class="lineno"> 2696</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>  descriptorName,</div> |
| <div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>  </div> |
| <div class="line"><a name="l02703"></a><span class="lineno"> 2703</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>)</div> |
| <div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  {</div> |
| <div class="line"><a name="l02705"></a><span class="lineno"> 2705</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor type must be Boolean."</span>);</div> |
| <div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>  }</div> |
| <div class="line"><a name="l02707"></a><span class="lineno"> 2707</span> }</div> |
| <div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  </div> |
| <div class="line"><a name="l02709"></a><span class="lineno"><a class="line" href="structarmnn_1_1_greater_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2709</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_greater_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">GreaterQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02710"></a><span class="lineno"> 2710</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"GreaterQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  </div> |
| <div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  </div> |
| <div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  </div> |
| <div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  descriptorName,</div> |
| <div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  </div> |
| <div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>)</div> |
| <div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>  {</div> |
| <div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor type must be Boolean."</span>);</div> |
| <div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>  }</div> |
| <div class="line"><a name="l02731"></a><span class="lineno"> 2731</span> }</div> |
| <div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>  </div> |
| <div class="line"><a name="l02733"></a><span class="lineno"><a class="line" href="structarmnn_1_1_rsqrt_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2733</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_rsqrt_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">RsqrtQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02734"></a><span class="lineno"> 2734</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"RsqrtQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  </div> |
| <div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  </div> |
| <div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>  </div> |
| <div class="line"><a name="l02743"></a><span class="lineno"> 2743</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>  </div> |
| <div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  {</div> |
| <div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  };</div> |
| <div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  </div> |
| <div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02757"></a><span class="lineno"> 2757</span> }</div> |
| <div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  </div> |
| <div class="line"><a name="l02759"></a><span class="lineno"><a class="line" href="structarmnn_1_1_gather_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2759</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_gather_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">GatherNdQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02760"></a><span class="lineno"> 2760</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"GatherNdQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  </div> |
| <div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  </div> |
| <div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& indicesTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>  <span class="keywordflow">if</span> (indicesTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>)</div> |
| <div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>  {</div> |
| <div class="line"><a name="l02769"></a><span class="lineno"> 2769</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Indices tensor type must be Int32."</span>);</div> |
| <div class="line"><a name="l02770"></a><span class="lineno"> 2770</span>  }</div> |
| <div class="line"><a name="l02771"></a><span class="lineno"> 2771</span>  </div> |
| <div class="line"><a name="l02772"></a><span class="lineno"> 2772</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  </div> |
| <div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>  {</div> |
| <div class="line"><a name="l02777"></a><span class="lineno"> 2777</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l02784"></a><span class="lineno"> 2784</span>  };</div> |
| <div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  </div> |
| <div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  </div> |
| <div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  </div> |
| <div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDim = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, outputDim, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02792"></a><span class="lineno"> 2792</span> }</div> |
| <div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  </div> |
| <div class="line"><a name="l02794"></a><span class="lineno"><a class="line" href="structarmnn_1_1_gather_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2794</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_gather_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">GatherQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02795"></a><span class="lineno"> 2795</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"GatherQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>  </div> |
| <div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02799"></a><span class="lineno"> 2799</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02800"></a><span class="lineno"> 2800</span>  </div> |
| <div class="line"><a name="l02801"></a><span class="lineno"> 2801</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& indicesTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>  <span class="keywordflow">if</span> (indicesTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>)</div> |
| <div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>  {</div> |
| <div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Indices tensor type must be Int32."</span>);</div> |
| <div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>  }</div> |
| <div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  </div> |
| <div class="line"><a name="l02807"></a><span class="lineno"> 2807</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>  </div> |
| <div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>  {</div> |
| <div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02816"></a><span class="lineno"> 2816</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  };</div> |
| <div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  </div> |
| <div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  </div> |
| <div class="line"><a name="l02823"></a><span class="lineno"> 2823</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  </div> |
| <div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDim = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() + indicesTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() - 1;</div> |
| <div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, outputDim, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02827"></a><span class="lineno"> 2827</span> }</div> |
| <div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>  </div> |
| <div class="line"><a name="l02829"></a><span class="lineno"><a class="line" href="structarmnn_1_1_detection_post_process_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2829</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">DetectionPostProcessQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02830"></a><span class="lineno"> 2830</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"DetectionPostProcessQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  </div> |
| <div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  </div> |
| <div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != 4)</div> |
| <div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  {</div> |
| <div class="line"><a name="l02837"></a><span class="lineno"> 2837</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Requires exactly four outputs. "</span> +</div> |
| <div class="line"><a name="l02838"></a><span class="lineno"> 2838</span>  to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size()) + <span class="stringliteral">" has been provided."</span>);</div> |
| <div class="line"><a name="l02839"></a><span class="lineno"> 2839</span>  }</div> |
| <div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  </div> |
| <div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.html#aeb542471c225031a9922db3433f40b56">m_Anchors</a> == <span class="keyword">nullptr</span>)</div> |
| <div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>  {</div> |
| <div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Anchors tensor descriptor is missing."</span>);</div> |
| <div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>  }</div> |
| <div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>  </div> |
| <div class="line"><a name="l02846"></a><span class="lineno"> 2846</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& boxEncodingsInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02847"></a><span class="lineno"> 2847</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& scoresInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& anchorsInfo = <a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.html#aeb542471c225031a9922db3433f40b56">m_Anchors</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  </div> |
| <div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& detectionBoxesInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& detectionClassesInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& detectionScoresInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[2];</div> |
| <div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& numDetectionsInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[3];</div> |
| <div class="line"><a name="l02854"></a><span class="lineno"> 2854</span>  </div> |
| <div class="line"><a name="l02855"></a><span class="lineno"> 2855</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(boxEncodingsInfo, descriptorName, 3, <span class="stringliteral">"box encodings"</span>);</div> |
| <div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(scoresInfo, descriptorName, 3, <span class="stringliteral">"scores"</span>);</div> |
| <div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(anchorsInfo, descriptorName, 2, <span class="stringliteral">"anchors"</span>);</div> |
| <div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  </div> |
| <div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>  <span class="keyword">const</span> std::vector<DataType> supportedInputTypes =</div> |
| <div class="line"><a name="l02860"></a><span class="lineno"> 2860</span>  {</div> |
| <div class="line"><a name="l02861"></a><span class="lineno"> 2861</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02867"></a><span class="lineno"> 2867</span>  };</div> |
| <div class="line"><a name="l02868"></a><span class="lineno"> 2868</span>  </div> |
| <div class="line"><a name="l02869"></a><span class="lineno"> 2869</span>  ValidateDataTypes(boxEncodingsInfo, supportedInputTypes, descriptorName);</div> |
| <div class="line"><a name="l02870"></a><span class="lineno"> 2870</span>  ValidateDataTypes(scoresInfo, supportedInputTypes, descriptorName);</div> |
| <div class="line"><a name="l02871"></a><span class="lineno"> 2871</span>  ValidateDataTypes(anchorsInfo, supportedInputTypes, descriptorName);</div> |
| <div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>  </div> |
| <div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(detectionBoxesInfo, descriptorName, 3, <span class="stringliteral">"detection boxes"</span>);</div> |
| <div class="line"><a name="l02874"></a><span class="lineno"> 2874</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(detectionScoresInfo, descriptorName, 2, <span class="stringliteral">"detection scores"</span>);</div> |
| <div class="line"><a name="l02875"></a><span class="lineno"> 2875</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(detectionClassesInfo, descriptorName, 2, <span class="stringliteral">"detection classes"</span>);</div> |
| <div class="line"><a name="l02876"></a><span class="lineno"> 2876</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(numDetectionsInfo, descriptorName, 1, <span class="stringliteral">"num detections"</span>);</div> |
| <div class="line"><a name="l02877"></a><span class="lineno"> 2877</span>  </div> |
| <div class="line"><a name="l02878"></a><span class="lineno"> 2878</span>  <span class="comment">// NOTE: Output is always Float32 regardless of input type</span></div> |
| <div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>  ValidateTensorDataType(detectionBoxesInfo, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, descriptorName, <span class="stringliteral">"detection boxes"</span>);</div> |
| <div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>  ValidateTensorDataType(detectionScoresInfo, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, descriptorName, <span class="stringliteral">"detection scores"</span>);</div> |
| <div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  ValidateTensorDataType(detectionClassesInfo, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, descriptorName, <span class="stringliteral">"detection classes"</span>);</div> |
| <div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>  ValidateTensorDataType(numDetectionsInfo, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>, descriptorName, <span class="stringliteral">"num detections"</span>);</div> |
| <div class="line"><a name="l02883"></a><span class="lineno"> 2883</span>  </div> |
| <div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a> <= 0.0f || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a> > 1.0f)</div> |
| <div class="line"><a name="l02885"></a><span class="lineno"> 2885</span>  {</div> |
| <div class="line"><a name="l02886"></a><span class="lineno"> 2886</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Intersection over union threshold "</span></div> |
| <div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>  <span class="stringliteral">"must be positive and less than or equal to 1."</span>);</div> |
| <div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  }</div> |
| <div class="line"><a name="l02889"></a><span class="lineno"> 2889</span>  </div> |
| <div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  <span class="keywordflow">if</span> (scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[2] != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a> + 1)</div> |
| <div class="line"><a name="l02891"></a><span class="lineno"> 2891</span>  {</div> |
| <div class="line"><a name="l02892"></a><span class="lineno"> 2892</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Number of classes with background "</span></div> |
| <div class="line"><a name="l02893"></a><span class="lineno"> 2893</span>  <span class="stringliteral">"should be equal to number of classes + 1."</span>);</div> |
| <div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>  }</div> |
| <div class="line"><a name="l02895"></a><span class="lineno"> 2895</span> }</div> |
| <div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  </div> |
| <div class="line"><a name="l02897"></a><span class="lineno"><a class="line" href="structarmnn_1_1_dequantize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2897</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_dequantize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">DequantizeQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02898"></a><span class="lineno"> 2898</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02899"></a><span class="lineno"> 2899</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"DequantizeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02900"></a><span class="lineno"> 2900</span>  </div> |
| <div class="line"><a name="l02901"></a><span class="lineno"> 2901</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>  </div> |
| <div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>  </div> |
| <div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  std::vector<DataType> inputSupportedTypes =</div> |
| <div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  {</div> |
| <div class="line"><a name="l02909"></a><span class="lineno"> 2909</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02910"></a><span class="lineno"> 2910</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> |
| <div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>  };</div> |
| <div class="line"><a name="l02915"></a><span class="lineno"> 2915</span>  ValidateDataTypes(inputTensorInfo, inputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  </div> |
| <div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  std::vector<DataType> outputSupportedTypes =</div> |
| <div class="line"><a name="l02918"></a><span class="lineno"> 2918</span>  {</div> |
| <div class="line"><a name="l02919"></a><span class="lineno"> 2919</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02920"></a><span class="lineno"> 2920</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a></div> |
| <div class="line"><a name="l02922"></a><span class="lineno"> 2922</span>  };</div> |
| <div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  </div> |
| <div class="line"><a name="l02924"></a><span class="lineno"> 2924</span>  ValidateDataTypes(outputTensorInfo, outputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02925"></a><span class="lineno"> 2925</span> }</div> |
| <div class="line"><a name="l02926"></a><span class="lineno"> 2926</span>  </div> |
| <div class="line"><a name="l02927"></a><span class="lineno"><a class="line" href="structarmnn_1_1_merge_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2927</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_merge_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">MergeQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02928"></a><span class="lineno"> 2928</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02929"></a><span class="lineno"> 2929</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"MergeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02930"></a><span class="lineno"> 2930</span>  </div> |
| <div class="line"><a name="l02931"></a><span class="lineno"> 2931</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02932"></a><span class="lineno"> 2932</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02933"></a><span class="lineno"> 2933</span>  </div> |
| <div class="line"><a name="l02934"></a><span class="lineno"> 2934</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02936"></a><span class="lineno"> 2936</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  </div> |
| <div class="line"><a name="l02938"></a><span class="lineno"> 2938</span>  ValidateTensorShapesMatch(inputTensorInfo0, inputTensorInfo1, descriptorName, <span class="stringliteral">"input_0"</span>, <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02939"></a><span class="lineno"> 2939</span>  ValidateTensorShapesMatch(inputTensorInfo0, outputTensorInfo, descriptorName, <span class="stringliteral">"input_0"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02940"></a><span class="lineno"> 2940</span>  </div> |
| <div class="line"><a name="l02941"></a><span class="lineno"> 2941</span>  ValidateTensorDataTypesMatch(inputTensorInfo0, inputTensorInfo1, descriptorName, <span class="stringliteral">"input_0"</span>, <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l02942"></a><span class="lineno"> 2942</span>  ValidateTensorDataTypesMatch(inputTensorInfo0, outputTensorInfo, descriptorName, <span class="stringliteral">"input_0"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l02943"></a><span class="lineno"> 2943</span> }</div> |
| <div class="line"><a name="l02944"></a><span class="lineno"> 2944</span>  </div> |
| <div class="line"><a name="l02945"></a><span class="lineno"><a class="line" href="structarmnn_1_1_shape_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2945</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_shape_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ShapeQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02946"></a><span class="lineno"> 2946</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02947"></a><span class="lineno"> 2947</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"ShapeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02948"></a><span class="lineno"> 2948</span>  </div> |
| <div class="line"><a name="l02949"></a><span class="lineno"> 2949</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02950"></a><span class="lineno"> 2950</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l02951"></a><span class="lineno"> 2951</span>  </div> |
| <div class="line"><a name="l02952"></a><span class="lineno"> 2952</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02953"></a><span class="lineno"> 2953</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02954"></a><span class="lineno"> 2954</span>  </div> |
| <div class="line"><a name="l02955"></a><span class="lineno"> 2955</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02956"></a><span class="lineno"> 2956</span>  {</div> |
| <div class="line"><a name="l02957"></a><span class="lineno"> 2957</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02958"></a><span class="lineno"> 2958</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l02959"></a><span class="lineno"> 2959</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02960"></a><span class="lineno"> 2960</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02961"></a><span class="lineno"> 2961</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02962"></a><span class="lineno"> 2962</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l02963"></a><span class="lineno"> 2963</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l02964"></a><span class="lineno"> 2964</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l02965"></a><span class="lineno"> 2965</span>  };</div> |
| <div class="line"><a name="l02966"></a><span class="lineno"> 2966</span>  </div> |
| <div class="line"><a name="l02967"></a><span class="lineno"> 2967</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02968"></a><span class="lineno"> 2968</span>  ValidateDataTypes(outputTensorInfo, {<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>}, descriptorName);</div> |
| <div class="line"><a name="l02969"></a><span class="lineno"> 2969</span> }</div> |
| <div class="line"><a name="l02970"></a><span class="lineno"> 2970</span>  </div> |
| <div class="line"><a name="l02971"></a><span class="lineno"><a class="line" href="structarmnn_1_1_switch_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 2971</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_switch_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">SwitchQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l02972"></a><span class="lineno"> 2972</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l02973"></a><span class="lineno"> 2973</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"SwitchQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l02974"></a><span class="lineno"> 2974</span>  </div> |
| <div class="line"><a name="l02975"></a><span class="lineno"> 2975</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02976"></a><span class="lineno"> 2976</span>  ValidateNumOutputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l02977"></a><span class="lineno"> 2977</span>  </div> |
| <div class="line"><a name="l02978"></a><span class="lineno"> 2978</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02979"></a><span class="lineno"> 2979</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02980"></a><span class="lineno"> 2980</span>  </div> |
| <div class="line"><a name="l02981"></a><span class="lineno"> 2981</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l02982"></a><span class="lineno"> 2982</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l02983"></a><span class="lineno"> 2983</span>  </div> |
| <div class="line"><a name="l02984"></a><span class="lineno"> 2984</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l02985"></a><span class="lineno"> 2985</span>  {</div> |
| <div class="line"><a name="l02986"></a><span class="lineno"> 2986</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l02987"></a><span class="lineno"> 2987</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l02988"></a><span class="lineno"> 2988</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l02989"></a><span class="lineno"> 2989</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l02990"></a><span class="lineno"> 2990</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l02991"></a><span class="lineno"> 2991</span>  };</div> |
| <div class="line"><a name="l02992"></a><span class="lineno"> 2992</span>  </div> |
| <div class="line"><a name="l02993"></a><span class="lineno"> 2993</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02994"></a><span class="lineno"> 2994</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02995"></a><span class="lineno"> 2995</span>  </div> |
| <div class="line"><a name="l02996"></a><span class="lineno"> 2996</span>  ValidateDataTypes(outputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02997"></a><span class="lineno"> 2997</span>  ValidateDataTypes(outputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l02998"></a><span class="lineno"> 2998</span>  </div> |
| <div class="line"><a name="l02999"></a><span class="lineno"> 2999</span>  ValidateTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l03000"></a><span class="lineno"> 3000</span>  outputTensorInfo0,</div> |
| <div class="line"><a name="l03001"></a><span class="lineno"> 3001</span>  descriptorName,</div> |
| <div class="line"><a name="l03002"></a><span class="lineno"> 3002</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l03003"></a><span class="lineno"> 3003</span>  <span class="stringliteral">"output_0"</span>);</div> |
| <div class="line"><a name="l03004"></a><span class="lineno"> 3004</span>  </div> |
| <div class="line"><a name="l03005"></a><span class="lineno"> 3005</span>  ValidateTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l03006"></a><span class="lineno"> 3006</span>  outputTensorInfo1,</div> |
| <div class="line"><a name="l03007"></a><span class="lineno"> 3007</span>  descriptorName,</div> |
| <div class="line"><a name="l03008"></a><span class="lineno"> 3008</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l03009"></a><span class="lineno"> 3009</span>  <span class="stringliteral">"output_1"</span>);</div> |
| <div class="line"><a name="l03010"></a><span class="lineno"> 3010</span> }</div> |
| <div class="line"><a name="l03011"></a><span class="lineno"> 3011</span>  </div> |
| <div class="line"><a name="l03012"></a><span class="lineno"><a class="line" href="structarmnn_1_1_pre_compiled_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3012</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_pre_compiled_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">PreCompiledQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& <span class="comment">/*workloadInfo*/</span>)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03013"></a><span class="lineno"> 3013</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03014"></a><span class="lineno"> 3014</span>  <span class="comment">// This is internally generated, so it should not need validation.</span></div> |
| <div class="line"><a name="l03015"></a><span class="lineno"> 3015</span> }</div> |
| <div class="line"><a name="l03016"></a><span class="lineno"> 3016</span>  </div> |
| <div class="line"><a name="l03017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_prelu_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3017</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_prelu_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">PreluQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03018"></a><span class="lineno"> 3018</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03019"></a><span class="lineno"> 3019</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"PreluQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03020"></a><span class="lineno"> 3020</span>  </div> |
| <div class="line"><a name="l03021"></a><span class="lineno"> 3021</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l03022"></a><span class="lineno"> 3022</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03023"></a><span class="lineno"> 3023</span>  </div> |
| <div class="line"><a name="l03024"></a><span class="lineno"> 3024</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03025"></a><span class="lineno"> 3025</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& alphaTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03026"></a><span class="lineno"> 3026</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03027"></a><span class="lineno"> 3027</span>  </div> |
| <div class="line"><a name="l03028"></a><span class="lineno"> 3028</span>  std::vector<DataType> supportedTypes</div> |
| <div class="line"><a name="l03029"></a><span class="lineno"> 3029</span>  {</div> |
| <div class="line"><a name="l03030"></a><span class="lineno"> 3030</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03031"></a><span class="lineno"> 3031</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03032"></a><span class="lineno"> 3032</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03033"></a><span class="lineno"> 3033</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03034"></a><span class="lineno"> 3034</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03035"></a><span class="lineno"> 3035</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l03036"></a><span class="lineno"> 3036</span>  };</div> |
| <div class="line"><a name="l03037"></a><span class="lineno"> 3037</span>  </div> |
| <div class="line"><a name="l03038"></a><span class="lineno"> 3038</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03039"></a><span class="lineno"> 3039</span>  ValidateDataTypes(alphaTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03040"></a><span class="lineno"> 3040</span>  </div> |
| <div class="line"><a name="l03041"></a><span class="lineno"> 3041</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03042"></a><span class="lineno"> 3042</span>  </div> |
| <div class="line"><a name="l03043"></a><span class="lineno"> 3043</span>  ValidateTensorDataTypesMatch(inputTensorInfo, alphaTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"alpha"</span>);</div> |
| <div class="line"><a name="l03044"></a><span class="lineno"> 3044</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"ouptut"</span>);</div> |
| <div class="line"><a name="l03045"></a><span class="lineno"> 3045</span>  </div> |
| <div class="line"><a name="l03046"></a><span class="lineno"> 3046</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo,</div> |
| <div class="line"><a name="l03047"></a><span class="lineno"> 3047</span>  alphaTensorInfo,</div> |
| <div class="line"><a name="l03048"></a><span class="lineno"> 3048</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l03049"></a><span class="lineno"> 3049</span>  descriptorName,</div> |
| <div class="line"><a name="l03050"></a><span class="lineno"> 3050</span>  <span class="stringliteral">"input"</span>,</div> |
| <div class="line"><a name="l03051"></a><span class="lineno"> 3051</span>  <span class="stringliteral">"alpha"</span>);</div> |
| <div class="line"><a name="l03052"></a><span class="lineno"> 3052</span> }</div> |
| <div class="line"><a name="l03053"></a><span class="lineno"> 3053</span>  </div> |
| <div class="line"><a name="l03054"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3054</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">TransposeConvolution2dQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03055"></a><span class="lineno"> 3055</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03056"></a><span class="lineno"> 3056</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"TransposeConvolution2dQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03057"></a><span class="lineno"> 3057</span>  </div> |
| <div class="line"><a name="l03058"></a><span class="lineno"> 3058</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03059"></a><span class="lineno"> 3059</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03060"></a><span class="lineno"> 3060</span>  </div> |
| <div class="line"><a name="l03061"></a><span class="lineno"> 3061</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03062"></a><span class="lineno"> 3062</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03063"></a><span class="lineno"> 3063</span>  </div> |
| <div class="line"><a name="l03064"></a><span class="lineno"> 3064</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l03065"></a><span class="lineno"> 3065</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03066"></a><span class="lineno"> 3066</span>  </div> |
| <div class="line"><a name="l03067"></a><span class="lineno"> 3067</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a9a8a6e0c6074b895eb2ff9a16e5003a5">m_Weight</a>, descriptorName, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l03068"></a><span class="lineno"> 3068</span>  </div> |
| <div class="line"><a name="l03069"></a><span class="lineno"> 3069</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& weightTensorInfo = <a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a9a8a6e0c6074b895eb2ff9a16e5003a5">m_Weight</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03070"></a><span class="lineno"> 3070</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(weightTensorInfo, descriptorName, 4, <span class="stringliteral">"weight"</span>);</div> |
| <div class="line"><a name="l03071"></a><span class="lineno"> 3071</span>  </div> |
| <div class="line"><a name="l03072"></a><span class="lineno"> 3072</span>  ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l03073"></a><span class="lineno"> 3073</span>  </div> |
| <div class="line"><a name="l03074"></a><span class="lineno"> 3074</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a> optionalBiasTensorInfo;</div> |
| <div class="line"><a name="l03075"></a><span class="lineno"> 3075</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l03076"></a><span class="lineno"> 3076</span>  {</div> |
| <div class="line"><a name="l03077"></a><span class="lineno"> 3077</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a1f3f6acdd5436ccf488d5ee3e9e60c02">m_Bias</a>, descriptorName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l03078"></a><span class="lineno"> 3078</span>  </div> |
| <div class="line"><a name="l03079"></a><span class="lineno"> 3079</span>  optionalBiasTensorInfo = MakeOptional<TensorInfo>(<a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a1f3f6acdd5436ccf488d5ee3e9e60c02">m_Bias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div> |
| <div class="line"><a name="l03080"></a><span class="lineno"> 3080</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasTensorInfo = optionalBiasTensorInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>();</div> |
| <div class="line"><a name="l03081"></a><span class="lineno"> 3081</span>  </div> |
| <div class="line"><a name="l03082"></a><span class="lineno"> 3082</span>  ValidateTensorDataType(biasTensorInfo, <a class="code" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), descriptorName, <span class="stringliteral">"bias"</span>);</div> |
| <div class="line"><a name="l03083"></a><span class="lineno"> 3083</span>  ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);</div> |
| <div class="line"><a name="l03084"></a><span class="lineno"> 3084</span>  }</div> |
| <div class="line"><a name="l03085"></a><span class="lineno"> 3085</span>  </div> |
| <div class="line"><a name="l03086"></a><span class="lineno"> 3086</span>  ValidatePerAxisQuantization(inputTensorInfo,</div> |
| <div class="line"><a name="l03087"></a><span class="lineno"> 3087</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l03088"></a><span class="lineno"> 3088</span>  weightTensorInfo,</div> |
| <div class="line"><a name="l03089"></a><span class="lineno"> 3089</span>  optionalBiasTensorInfo,</div> |
| <div class="line"><a name="l03090"></a><span class="lineno"> 3090</span>  descriptorName);</div> |
| <div class="line"><a name="l03091"></a><span class="lineno"> 3091</span>  </div> |
| <div class="line"><a name="l03092"></a><span class="lineno"> 3092</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03093"></a><span class="lineno"> 3093</span>  {</div> |
| <div class="line"><a name="l03094"></a><span class="lineno"> 3094</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03095"></a><span class="lineno"> 3095</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03096"></a><span class="lineno"> 3096</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03097"></a><span class="lineno"> 3097</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03098"></a><span class="lineno"> 3098</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03099"></a><span class="lineno"> 3099</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l03100"></a><span class="lineno"> 3100</span>  };</div> |
| <div class="line"><a name="l03101"></a><span class="lineno"> 3101</span>  </div> |
| <div class="line"><a name="l03102"></a><span class="lineno"> 3102</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03103"></a><span class="lineno"> 3103</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03104"></a><span class="lineno"> 3104</span> }</div> |
| <div class="line"><a name="l03105"></a><span class="lineno"> 3105</span>  </div> |
| <div class="line"><a name="l03106"></a><span class="lineno"><a class="line" href="structarmnn_1_1_transpose_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3106</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_transpose_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">TransposeQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03107"></a><span class="lineno"> 3107</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03108"></a><span class="lineno"> 3108</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"TransposeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03109"></a><span class="lineno"> 3109</span>  </div> |
| <div class="line"><a name="l03110"></a><span class="lineno"> 3110</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03111"></a><span class="lineno"> 3111</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03112"></a><span class="lineno"> 3112</span>  </div> |
| <div class="line"><a name="l03113"></a><span class="lineno"> 3113</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.html">PermutationVector</a>& mapping = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_transpose_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a>;</div> |
| <div class="line"><a name="l03114"></a><span class="lineno"> 3114</span>  </div> |
| <div class="line"><a name="l03115"></a><span class="lineno"> 3115</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03116"></a><span class="lineno"> 3116</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03117"></a><span class="lineno"> 3117</span>  </div> |
| <div class="line"><a name="l03118"></a><span class="lineno"> 3118</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, mapping.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(), <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l03119"></a><span class="lineno"> 3119</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, mapping.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(), <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03120"></a><span class="lineno"> 3120</span>  </div> |
| <div class="line"><a name="l03121"></a><span class="lineno"> 3121</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < mapping.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>(); ++i)</div> |
| <div class="line"><a name="l03122"></a><span class="lineno"> 3122</span>  {</div> |
| <div class="line"><a name="l03123"></a><span class="lineno"> 3123</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[mapping[i]] != outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i])</div> |
| <div class="line"><a name="l03124"></a><span class="lineno"> 3124</span>  {</div> |
| <div class="line"><a name="l03125"></a><span class="lineno"> 3125</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": src dimension "</span> + to_string(mapping[i]) +</div> |
| <div class="line"><a name="l03126"></a><span class="lineno"> 3126</span>  <span class="stringliteral">" (="</span> + to_string(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[mapping[i]]) + <span class="stringliteral">") "</span> +</div> |
| <div class="line"><a name="l03127"></a><span class="lineno"> 3127</span>  <span class="stringliteral">"must match dst dimension "</span> + to_string(i) +</div> |
| <div class="line"><a name="l03128"></a><span class="lineno"> 3128</span>  <span class="stringliteral">" (="</span> + to_string(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i]) + <span class="stringliteral">")"</span>);</div> |
| <div class="line"><a name="l03129"></a><span class="lineno"> 3129</span>  }</div> |
| <div class="line"><a name="l03130"></a><span class="lineno"> 3130</span>  }</div> |
| <div class="line"><a name="l03131"></a><span class="lineno"> 3131</span>  </div> |
| <div class="line"><a name="l03132"></a><span class="lineno"> 3132</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03133"></a><span class="lineno"> 3133</span> }</div> |
| <div class="line"><a name="l03134"></a><span class="lineno"> 3134</span>  </div> |
| <div class="line"><a name="l03135"></a><span class="lineno"><a class="line" href="structarmnn_1_1_channel_shuffle_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3135</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_channel_shuffle_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ChannelShuffleQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03136"></a><span class="lineno"> 3136</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03137"></a><span class="lineno"> 3137</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"TransposeQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03138"></a><span class="lineno"> 3138</span>  </div> |
| <div class="line"><a name="l03139"></a><span class="lineno"> 3139</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03140"></a><span class="lineno"> 3140</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03141"></a><span class="lineno"> 3141</span>  </div> |
| <div class="line"><a name="l03142"></a><span class="lineno"> 3142</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03143"></a><span class="lineno"> 3143</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03144"></a><span class="lineno"> 3144</span>  </div> |
| <div class="line"><a name="l03145"></a><span class="lineno"> 3145</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03146"></a><span class="lineno"> 3146</span> }</div> |
| <div class="line"><a name="l03147"></a><span class="lineno"> 3147</span>  </div> |
| <div class="line"><a name="l03148"></a><span class="lineno"><a class="line" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3148</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">QLstmQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03149"></a><span class="lineno"> 3149</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03150"></a><span class="lineno"> 3150</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"QLstmQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03151"></a><span class="lineno"> 3151</span>  </div> |
| <div class="line"><a name="l03152"></a><span class="lineno"> 3152</span>  <span class="comment">// Validate number of inputs/outputs</span></div> |
| <div class="line"><a name="l03153"></a><span class="lineno"> 3153</span>  ValidateNumInputs(workloadInfo, descriptorName, 3);</div> |
| <div class="line"><a name="l03154"></a><span class="lineno"> 3154</span>  ValidateNumOutputs(workloadInfo, descriptorName, 3);</div> |
| <div class="line"><a name="l03155"></a><span class="lineno"> 3155</span>  </div> |
| <div class="line"><a name="l03156"></a><span class="lineno"> 3156</span>  <span class="comment">// Input/output tensor info</span></div> |
| <div class="line"><a name="l03157"></a><span class="lineno"> 3157</span>  <span class="keyword">auto</span> inputInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03158"></a><span class="lineno"> 3158</span>  <span class="keyword">auto</span> outputStateInInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03159"></a><span class="lineno"> 3159</span>  <span class="keyword">auto</span> cellStateInInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2];</div> |
| <div class="line"><a name="l03160"></a><span class="lineno"> 3160</span>  </div> |
| <div class="line"><a name="l03161"></a><span class="lineno"> 3161</span>  <span class="keyword">auto</span> outputStateOutInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03162"></a><span class="lineno"> 3162</span>  <span class="keyword">auto</span> cellStateOutInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03163"></a><span class="lineno"> 3163</span>  <span class="keyword">auto</span> outputInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[2];</div> |
| <div class="line"><a name="l03164"></a><span class="lineno"> 3164</span>  </div> |
| <div class="line"><a name="l03165"></a><span class="lineno"> 3165</span>  <span class="comment">// Supported types for various tensors in QLSTM</span></div> |
| <div class="line"><a name="l03166"></a><span class="lineno"> 3166</span>  std::vector<DataType> inputOutputSupportedTypes =</div> |
| <div class="line"><a name="l03167"></a><span class="lineno"> 3167</span>  {</div> |
| <div class="line"><a name="l03168"></a><span class="lineno"> 3168</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a></div> |
| <div class="line"><a name="l03169"></a><span class="lineno"> 3169</span>  };</div> |
| <div class="line"><a name="l03170"></a><span class="lineno"> 3170</span>  </div> |
| <div class="line"><a name="l03171"></a><span class="lineno"> 3171</span>  std::vector<DataType> cellStateSupportedTypes =</div> |
| <div class="line"><a name="l03172"></a><span class="lineno"> 3172</span>  {</div> |
| <div class="line"><a name="l03173"></a><span class="lineno"> 3173</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l03174"></a><span class="lineno"> 3174</span>  };</div> |
| <div class="line"><a name="l03175"></a><span class="lineno"> 3175</span>  </div> |
| <div class="line"><a name="l03176"></a><span class="lineno"> 3176</span>  std::vector<DataType> weightsSupportedTypes =</div> |
| <div class="line"><a name="l03177"></a><span class="lineno"> 3177</span>  {</div> |
| <div class="line"><a name="l03178"></a><span class="lineno"> 3178</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a></div> |
| <div class="line"><a name="l03179"></a><span class="lineno"> 3179</span>  };</div> |
| <div class="line"><a name="l03180"></a><span class="lineno"> 3180</span>  </div> |
| <div class="line"><a name="l03181"></a><span class="lineno"> 3181</span>  std::vector<DataType> layerNormPeepholeWeightsSupportedTypes =</div> |
| <div class="line"><a name="l03182"></a><span class="lineno"> 3182</span>  {</div> |
| <div class="line"><a name="l03183"></a><span class="lineno"> 3183</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l03184"></a><span class="lineno"> 3184</span>  };</div> |
| <div class="line"><a name="l03185"></a><span class="lineno"> 3185</span>  </div> |
| <div class="line"><a name="l03186"></a><span class="lineno"> 3186</span>  std::vector<DataType> biasSupportedTypes =</div> |
| <div class="line"><a name="l03187"></a><span class="lineno"> 3187</span>  {</div> |
| <div class="line"><a name="l03188"></a><span class="lineno"> 3188</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l03189"></a><span class="lineno"> 3189</span>  };</div> |
| <div class="line"><a name="l03190"></a><span class="lineno"> 3190</span>  </div> |
| <div class="line"><a name="l03191"></a><span class="lineno"> 3191</span>  <span class="comment">// Validate types of input/output tensors</span></div> |
| <div class="line"><a name="l03192"></a><span class="lineno"> 3192</span>  ValidateDataTypes(inputInfo, inputOutputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03193"></a><span class="lineno"> 3193</span>  ValidateDataTypes(outputStateInInfo, inputOutputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03194"></a><span class="lineno"> 3194</span>  ValidateDataTypes(cellStateInInfo, cellStateSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03195"></a><span class="lineno"> 3195</span>  </div> |
| <div class="line"><a name="l03196"></a><span class="lineno"> 3196</span>  ValidateDataTypes(outputStateOutInfo, inputOutputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03197"></a><span class="lineno"> 3197</span>  ValidateDataTypes(cellStateOutInfo, cellStateSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03198"></a><span class="lineno"> 3198</span>  ValidateDataTypes(outputInfo, inputOutputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03199"></a><span class="lineno"> 3199</span>  </div> |
| <div class="line"><a name="l03200"></a><span class="lineno"> 3200</span>  <span class="comment">// Validate matching types of input/output tensors</span></div> |
| <div class="line"><a name="l03201"></a><span class="lineno"> 3201</span>  ValidateTensorDataTypesMatch(inputInfo, outputStateInInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"outputStateIn"</span>);</div> |
| <div class="line"><a name="l03202"></a><span class="lineno"> 3202</span>  ValidateTensorDataTypesMatch(outputStateInInfo, outputStateOutInfo, descriptorName,</div> |
| <div class="line"><a name="l03203"></a><span class="lineno"> 3203</span>  <span class="stringliteral">"outputStateIn"</span>, <span class="stringliteral">"outputStateOut"</span>);</div> |
| <div class="line"><a name="l03204"></a><span class="lineno"> 3204</span>  ValidateTensorDataTypesMatch(cellStateInInfo, cellStateOutInfo, descriptorName, <span class="stringliteral">"cellStateIn"</span>, <span class="stringliteral">"cellStateOut"</span>);</div> |
| <div class="line"><a name="l03205"></a><span class="lineno"> 3205</span>  </div> |
| <div class="line"><a name="l03206"></a><span class="lineno"> 3206</span>  <span class="comment">// Infer number of batches, number of units, input size and output size from tensor dimensions</span></div> |
| <div class="line"><a name="l03207"></a><span class="lineno"> 3207</span>  <span class="keyword">const</span> uint32_t numBatches = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div> |
| <div class="line"><a name="l03208"></a><span class="lineno"> 3208</span>  <span class="keyword">const</span> uint32_t inputSize = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1];</div> |
| <div class="line"><a name="l03209"></a><span class="lineno"> 3209</span>  <span class="keyword">const</span> uint32_t outputSize = outputStateInInfo.GetShape()[1];</div> |
| <div class="line"><a name="l03210"></a><span class="lineno"> 3210</span>  <span class="keyword">const</span> uint32_t numUnits = cellStateInInfo.GetShape()[1];</div> |
| <div class="line"><a name="l03211"></a><span class="lineno"> 3211</span>  </div> |
| <div class="line"><a name="l03212"></a><span class="lineno"> 3212</span>  <span class="comment">// Validate number of dimensions and number of elements for input/output tensors</span></div> |
| <div class="line"><a name="l03213"></a><span class="lineno"> 3213</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputInfo, 2, (numBatches * inputSize), descriptorName + <span class="stringliteral">" input"</span>);</div> |
| <div class="line"><a name="l03214"></a><span class="lineno"> 3214</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputStateInInfo, 2, (numBatches * outputSize), descriptorName + <span class="stringliteral">" outputStateIn"</span>);</div> |
| <div class="line"><a name="l03215"></a><span class="lineno"> 3215</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellStateInInfo, 2, (numBatches * numUnits), descriptorName + <span class="stringliteral">" cellStateIn"</span>);</div> |
| <div class="line"><a name="l03216"></a><span class="lineno"> 3216</span>  </div> |
| <div class="line"><a name="l03217"></a><span class="lineno"> 3217</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputStateOutInfo, 2, (numBatches * outputSize), descriptorName + <span class="stringliteral">" outputStateOut"</span>);</div> |
| <div class="line"><a name="l03218"></a><span class="lineno"> 3218</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellStateOutInfo, 2, (numBatches * numUnits), descriptorName + <span class="stringliteral">" cellStateOut"</span>);</div> |
| <div class="line"><a name="l03219"></a><span class="lineno"> 3219</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputInfo, 2, (numBatches * outputSize), descriptorName + <span class="stringliteral">" output"</span>);</div> |
| <div class="line"><a name="l03220"></a><span class="lineno"> 3220</span>  </div> |
| <div class="line"><a name="l03221"></a><span class="lineno"> 3221</span>  <span class="comment">// Validate number of dimensions and number of elements for MANDATORY weight tensors</span></div> |
| <div class="line"><a name="l03222"></a><span class="lineno"> 3222</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>, descriptorName, <span class="stringliteral">"InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03223"></a><span class="lineno"> 3223</span>  <span class="keyword">auto</span> inputToForgetWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03224"></a><span class="lineno"> 3224</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToForgetWeightsInfo, 2, (numUnits * inputSize), <span class="stringliteral">" InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03225"></a><span class="lineno"> 3225</span>  </div> |
| <div class="line"><a name="l03226"></a><span class="lineno"> 3226</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>, descriptorName, <span class="stringliteral">"InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l03227"></a><span class="lineno"> 3227</span>  <span class="keyword">auto</span> inputToCellWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03228"></a><span class="lineno"> 3228</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToCellWeightsInfo, 2, (numUnits * inputSize), <span class="stringliteral">" InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l03229"></a><span class="lineno"> 3229</span>  </div> |
| <div class="line"><a name="l03230"></a><span class="lineno"> 3230</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>, descriptorName, <span class="stringliteral">"InputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03231"></a><span class="lineno"> 3231</span>  <span class="keyword">auto</span> inputToOutputWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03232"></a><span class="lineno"> 3232</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToOutputWeightsInfo, 2, (numUnits * inputSize), <span class="stringliteral">" InputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03233"></a><span class="lineno"> 3233</span>  </div> |
| <div class="line"><a name="l03234"></a><span class="lineno"> 3234</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>, descriptorName, <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03235"></a><span class="lineno"> 3235</span>  <span class="keyword">auto</span> recurrentToForgetWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03236"></a><span class="lineno"> 3236</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToForgetWeightsInfo, 2, (numUnits * outputSize),</div> |
| <div class="line"><a name="l03237"></a><span class="lineno"> 3237</span>  <span class="stringliteral">" RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03238"></a><span class="lineno"> 3238</span>  </div> |
| <div class="line"><a name="l03239"></a><span class="lineno"> 3239</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>, descriptorName, <span class="stringliteral">"RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03240"></a><span class="lineno"> 3240</span>  <span class="keyword">auto</span> recurrentToCellWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03241"></a><span class="lineno"> 3241</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToCellWeightsInfo, 2, (numUnits * outputSize), <span class="stringliteral">" RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03242"></a><span class="lineno"> 3242</span>  </div> |
| <div class="line"><a name="l03243"></a><span class="lineno"> 3243</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>, descriptorName, <span class="stringliteral">"RecurrentToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03244"></a><span class="lineno"> 3244</span>  <span class="keyword">auto</span> recurrentToOutputWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03245"></a><span class="lineno"> 3245</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToOutputWeightsInfo, 2, (numUnits * outputSize), <span class="stringliteral">" RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03246"></a><span class="lineno"> 3246</span>  </div> |
| <div class="line"><a name="l03247"></a><span class="lineno"> 3247</span>  <span class="comment">// Validate data types for MANDATORY weights tensors (all should match each other)</span></div> |
| <div class="line"><a name="l03248"></a><span class="lineno"> 3248</span>  ValidateDataTypes(inputToForgetWeightsInfo, weightsSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03249"></a><span class="lineno"> 3249</span>  </div> |
| <div class="line"><a name="l03250"></a><span class="lineno"> 3250</span>  ValidateTensorDataTypesMatch(inputToForgetWeightsInfo, inputToCellWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03251"></a><span class="lineno"> 3251</span>  <span class="stringliteral">"inputToForgetWeights"</span>, <span class="stringliteral">"inputToCellWeights"</span>);</div> |
| <div class="line"><a name="l03252"></a><span class="lineno"> 3252</span>  ValidateTensorDataTypesMatch(inputToForgetWeightsInfo, inputToOutputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03253"></a><span class="lineno"> 3253</span>  <span class="stringliteral">"inputToForgetWeights"</span>, <span class="stringliteral">"inputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03254"></a><span class="lineno"> 3254</span>  </div> |
| <div class="line"><a name="l03255"></a><span class="lineno"> 3255</span>  ValidateTensorDataTypesMatch(inputToForgetWeightsInfo, recurrentToForgetWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03256"></a><span class="lineno"> 3256</span>  <span class="stringliteral">"inputToForgetWeights"</span>, <span class="stringliteral">"recurrentToForgeteights"</span>);</div> |
| <div class="line"><a name="l03257"></a><span class="lineno"> 3257</span>  ValidateTensorDataTypesMatch(inputToForgetWeightsInfo, recurrentToCellWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03258"></a><span class="lineno"> 3258</span>  <span class="stringliteral">"inputToForgetWeights"</span>, <span class="stringliteral">"recurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03259"></a><span class="lineno"> 3259</span>  ValidateTensorDataTypesMatch(inputToForgetWeightsInfo, recurrentToOutputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03260"></a><span class="lineno"> 3260</span>  <span class="stringliteral">"inputToForgetWeights"</span>, <span class="stringliteral">"recurrentToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03261"></a><span class="lineno"> 3261</span>  </div> |
| <div class="line"><a name="l03262"></a><span class="lineno"> 3262</span>  <span class="comment">// Validate number of dimensions and number of elements for MANDATORY bias tensors</span></div> |
| <div class="line"><a name="l03263"></a><span class="lineno"> 3263</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>, descriptorName, <span class="stringliteral">"ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l03264"></a><span class="lineno"> 3264</span>  <span class="keyword">auto</span> forgetGateBiasInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03265"></a><span class="lineno"> 3265</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(forgetGateBiasInfo, 1, numUnits, <span class="stringliteral">" ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l03266"></a><span class="lineno"> 3266</span>  </div> |
| <div class="line"><a name="l03267"></a><span class="lineno"> 3267</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>, descriptorName, <span class="stringliteral">"CellBias"</span>);</div> |
| <div class="line"><a name="l03268"></a><span class="lineno"> 3268</span>  <span class="keyword">auto</span> cellBiasInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03269"></a><span class="lineno"> 3269</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellBiasInfo, 1, numUnits, <span class="stringliteral">" CellBias"</span>);</div> |
| <div class="line"><a name="l03270"></a><span class="lineno"> 3270</span>  </div> |
| <div class="line"><a name="l03271"></a><span class="lineno"> 3271</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>, descriptorName, <span class="stringliteral">"OutputGateBias"</span>);</div> |
| <div class="line"><a name="l03272"></a><span class="lineno"> 3272</span>  <span class="keyword">auto</span> outputGateBiasInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03273"></a><span class="lineno"> 3273</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputGateBiasInfo, 1, numUnits, <span class="stringliteral">" OutputGateBias"</span>);</div> |
| <div class="line"><a name="l03274"></a><span class="lineno"> 3274</span>  </div> |
| <div class="line"><a name="l03275"></a><span class="lineno"> 3275</span>  <span class="comment">// Validate data types for MANDATORY bias tensors</span></div> |
| <div class="line"><a name="l03276"></a><span class="lineno"> 3276</span>  ValidateDataTypes(forgetGateBiasInfo, biasSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03277"></a><span class="lineno"> 3277</span>  </div> |
| <div class="line"><a name="l03278"></a><span class="lineno"> 3278</span>  ValidateTensorDataTypesMatch(forgetGateBiasInfo, cellBiasInfo, descriptorName,</div> |
| <div class="line"><a name="l03279"></a><span class="lineno"> 3279</span>  <span class="stringliteral">"forgetGateBias"</span>, <span class="stringliteral">"cellBias"</span>);</div> |
| <div class="line"><a name="l03280"></a><span class="lineno"> 3280</span>  ValidateTensorDataTypesMatch(forgetGateBiasInfo, outputGateBiasInfo, descriptorName,</div> |
| <div class="line"><a name="l03281"></a><span class="lineno"> 3281</span>  <span class="stringliteral">"forgetGateBias"</span>, <span class="stringliteral">"outputGateBias"</span>);</div> |
| <div class="line"><a name="l03282"></a><span class="lineno"> 3282</span>  </div> |
| <div class="line"><a name="l03283"></a><span class="lineno"> 3283</span>  <span class="comment">// Validate OPTIONAL params: CIFG (inputToInputWeights, recurrentToInputWeights, inputGateBias)</span></div> |
| <div class="line"><a name="l03284"></a><span class="lineno"> 3284</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> allCifgParamsPresentOrNot = ((<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a> &&</div> |
| <div class="line"><a name="l03285"></a><span class="lineno"> 3285</span>  !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) ||</div> |
| <div class="line"><a name="l03286"></a><span class="lineno"> 3286</span>  (!<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> &&</div> |
| <div class="line"><a name="l03287"></a><span class="lineno"> 3287</span>  !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>));</div> |
| <div class="line"><a name="l03288"></a><span class="lineno"> 3288</span>  </div> |
| <div class="line"><a name="l03289"></a><span class="lineno"> 3289</span>  <span class="keywordflow">if</span> (!allCifgParamsPresentOrNot)</div> |
| <div class="line"><a name="l03290"></a><span class="lineno"> 3290</span>  {</div> |
| <div class="line"><a name="l03291"></a><span class="lineno"> 3291</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l03292"></a><span class="lineno"> 3292</span>  <span class="stringliteral">": InputToInputWeights, RecurrentToInputWeights and InputGateBias must either all be present "</span></div> |
| <div class="line"><a name="l03293"></a><span class="lineno"> 3293</span>  <span class="stringliteral">"(CIFG disabled) or not be present at all (CIFG enabled). m_Parameters.m_CifgEnabled should be "</span></div> |
| <div class="line"><a name="l03294"></a><span class="lineno"> 3294</span>  <span class="stringliteral">"set appropriately."</span>);</div> |
| <div class="line"><a name="l03295"></a><span class="lineno"> 3295</span>  }</div> |
| <div class="line"><a name="l03296"></a><span class="lineno"> 3296</span>  </div> |
| <div class="line"><a name="l03297"></a><span class="lineno"> 3297</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l03298"></a><span class="lineno"> 3298</span>  {</div> |
| <div class="line"><a name="l03299"></a><span class="lineno"> 3299</span>  <span class="comment">// Validate number of dimensions and number of elements</span></div> |
| <div class="line"><a name="l03300"></a><span class="lineno"> 3300</span>  <span class="keyword">auto</span> inputToInputWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03301"></a><span class="lineno"> 3301</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToInputWeightsInfo, 2, (numUnits * inputSize), <span class="stringliteral">" InputToInputWeights"</span>);</div> |
| <div class="line"><a name="l03302"></a><span class="lineno"> 3302</span>  </div> |
| <div class="line"><a name="l03303"></a><span class="lineno"> 3303</span>  <span class="keyword">auto</span> recurrentToInputWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03304"></a><span class="lineno"> 3304</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToInputWeightsInfo, 2, (numUnits * outputSize),</div> |
| <div class="line"><a name="l03305"></a><span class="lineno"> 3305</span>  <span class="stringliteral">" RecurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l03306"></a><span class="lineno"> 3306</span>  </div> |
| <div class="line"><a name="l03307"></a><span class="lineno"> 3307</span>  <span class="keyword">auto</span> inputGateBiasInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03308"></a><span class="lineno"> 3308</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputGateBiasInfo, 1, numUnits, <span class="stringliteral">" InputGateBias"</span>);</div> |
| <div class="line"><a name="l03309"></a><span class="lineno"> 3309</span>  </div> |
| <div class="line"><a name="l03310"></a><span class="lineno"> 3310</span>  <span class="comment">// Validate data types</span></div> |
| <div class="line"><a name="l03311"></a><span class="lineno"> 3311</span>  ValidateTensorDataTypesMatch(inputToForgetWeightsInfo, inputToInputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03312"></a><span class="lineno"> 3312</span>  <span class="stringliteral">"inputToForgetWeights"</span>, <span class="stringliteral">"inputToInputWeights"</span>);</div> |
| <div class="line"><a name="l03313"></a><span class="lineno"> 3313</span>  ValidateTensorDataTypesMatch(inputToForgetWeightsInfo, recurrentToInputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03314"></a><span class="lineno"> 3314</span>  <span class="stringliteral">"inputToForgetWeights"</span>, <span class="stringliteral">"recurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l03315"></a><span class="lineno"> 3315</span>  ValidateTensorDataTypesMatch(forgetGateBiasInfo, inputGateBiasInfo, descriptorName,</div> |
| <div class="line"><a name="l03316"></a><span class="lineno"> 3316</span>  <span class="stringliteral">"forgetGateBias"</span>, <span class="stringliteral">"inputGateBias"</span>);</div> |
| <div class="line"><a name="l03317"></a><span class="lineno"> 3317</span>  }</div> |
| <div class="line"><a name="l03318"></a><span class="lineno"> 3318</span>  </div> |
| <div class="line"><a name="l03319"></a><span class="lineno"> 3319</span>  <span class="comment">// Validate OPTIONAL params: Peephole (cellToInputWeights, cellToForgetWeights, cellToOutputWeights)</span></div> |
| <div class="line"><a name="l03320"></a><span class="lineno"> 3320</span>  <span class="keywordtype">bool</span> allPeepholeWeightsPresentOrNot =</div> |
| <div class="line"><a name="l03321"></a><span class="lineno"> 3321</span>  (((<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a></div> |
| <div class="line"><a name="l03322"></a><span class="lineno"> 3322</span>  && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> |
| <div class="line"><a name="l03323"></a><span class="lineno"> 3323</span>  || (!<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a></div> |
| <div class="line"><a name="l03324"></a><span class="lineno"> 3324</span>  && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> && !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>));</div> |
| <div class="line"><a name="l03325"></a><span class="lineno"> 3325</span>  </div> |
| <div class="line"><a name="l03326"></a><span class="lineno"> 3326</span>  <span class="keywordflow">if</span> (!allPeepholeWeightsPresentOrNot)</div> |
| <div class="line"><a name="l03327"></a><span class="lineno"> 3327</span>  {</div> |
| <div class="line"><a name="l03328"></a><span class="lineno"> 3328</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l03329"></a><span class="lineno"> 3329</span>  <span class="stringliteral">": CellToInputWeights, CellToForgetWeights and CellToOutputWeights should all be present (Peephole "</span></div> |
| <div class="line"><a name="l03330"></a><span class="lineno"> 3330</span>  <span class="stringliteral">"enabled) or not be present at all (Peephole disabled). CellToInputWeights should only be present "</span></div> |
| <div class="line"><a name="l03331"></a><span class="lineno"> 3331</span>  <span class="stringliteral">"when Peephole is enabled and CIFG is disabled. m_Parameters.m_PeepholeEnabled should be set "</span></div> |
| <div class="line"><a name="l03332"></a><span class="lineno"> 3332</span>  <span class="stringliteral">"appropriately."</span>);</div> |
| <div class="line"><a name="l03333"></a><span class="lineno"> 3333</span>  }</div> |
| <div class="line"><a name="l03334"></a><span class="lineno"> 3334</span>  </div> |
| <div class="line"><a name="l03335"></a><span class="lineno"> 3335</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> |
| <div class="line"><a name="l03336"></a><span class="lineno"> 3336</span>  {</div> |
| <div class="line"><a name="l03337"></a><span class="lineno"> 3337</span>  <span class="keyword">auto</span> cellToForgetWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03338"></a><span class="lineno"> 3338</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellToForgetWeightsInfo, 1, numUnits, <span class="stringliteral">" cellToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03339"></a><span class="lineno"> 3339</span>  ValidateDataTypes(cellToForgetWeightsInfo, layerNormPeepholeWeightsSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03340"></a><span class="lineno"> 3340</span>  </div> |
| <div class="line"><a name="l03341"></a><span class="lineno"> 3341</span>  <span class="keyword">auto</span> cellToOutputWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03342"></a><span class="lineno"> 3342</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellToOutputWeightsInfo, 1, numUnits, <span class="stringliteral">" cellToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03343"></a><span class="lineno"> 3343</span>  ValidateTensorDataTypesMatch(cellToForgetWeightsInfo, cellToOutputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03344"></a><span class="lineno"> 3344</span>  <span class="stringliteral">"cellToForgetWeight"</span>, <span class="stringliteral">"cellToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03345"></a><span class="lineno"> 3345</span>  </div> |
| <div class="line"><a name="l03346"></a><span class="lineno"> 3346</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l03347"></a><span class="lineno"> 3347</span>  {</div> |
| <div class="line"><a name="l03348"></a><span class="lineno"> 3348</span>  <span class="keyword">auto</span> cellToInputWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03349"></a><span class="lineno"> 3349</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellToInputWeightsInfo, 1, numUnits, <span class="stringliteral">" cellToInputWeights"</span>);</div> |
| <div class="line"><a name="l03350"></a><span class="lineno"> 3350</span>  ValidateTensorDataTypesMatch(cellToForgetWeightsInfo, cellToInputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03351"></a><span class="lineno"> 3351</span>  <span class="stringliteral">"cellToForgetWeights"</span>, <span class="stringliteral">"cellToInputWeights"</span>);</div> |
| <div class="line"><a name="l03352"></a><span class="lineno"> 3352</span>  }</div> |
| <div class="line"><a name="l03353"></a><span class="lineno"> 3353</span>  }</div> |
| <div class="line"><a name="l03354"></a><span class="lineno"> 3354</span>  </div> |
| <div class="line"><a name="l03355"></a><span class="lineno"> 3355</span>  <span class="comment">// Validate OPTIONAL params: Layer Norm Weights</span></div> |
| <div class="line"><a name="l03356"></a><span class="lineno"> 3356</span>  <span class="keywordtype">bool</span> allLayerNormWeightsPresentOrNot =</div> |
| <div class="line"><a name="l03357"></a><span class="lineno"> 3357</span>  (((<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a></div> |
| <div class="line"><a name="l03358"></a><span class="lineno"> 3358</span>  && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a> && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> |
| <div class="line"><a name="l03359"></a><span class="lineno"> 3359</span>  || (!<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a> && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a> && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a></div> |
| <div class="line"><a name="l03360"></a><span class="lineno"> 3360</span>  && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a> && !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>));</div> |
| <div class="line"><a name="l03361"></a><span class="lineno"> 3361</span>  </div> |
| <div class="line"><a name="l03362"></a><span class="lineno"> 3362</span>  <span class="keywordflow">if</span> (!allLayerNormWeightsPresentOrNot)</div> |
| <div class="line"><a name="l03363"></a><span class="lineno"> 3363</span>  {</div> |
| <div class="line"><a name="l03364"></a><span class="lineno"> 3364</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l03365"></a><span class="lineno"> 3365</span>  <span class="stringliteral">": InputLayerNormWeights, ForgetLayerNormWeights, m_OutputLayerNormWeights "</span></div> |
| <div class="line"><a name="l03366"></a><span class="lineno"> 3366</span>  <span class="stringliteral">"and CellLayerNormWeights should all be present (Layer Norm enabled) or not "</span></div> |
| <div class="line"><a name="l03367"></a><span class="lineno"> 3367</span>  <span class="stringliteral">"be present at all (Layer Norm disabled). InputLayerNormWeights should "</span></div> |
| <div class="line"><a name="l03368"></a><span class="lineno"> 3368</span>  <span class="stringliteral">"only be present when Layer Norm is enabled and CIFG is disabled. "</span></div> |
| <div class="line"><a name="l03369"></a><span class="lineno"> 3369</span>  <span class="stringliteral">"m_Parameters.m_LayerNormEnabled should be set appropriately."</span>);</div> |
| <div class="line"><a name="l03370"></a><span class="lineno"> 3370</span>  }</div> |
| <div class="line"><a name="l03371"></a><span class="lineno"> 3371</span>  </div> |
| <div class="line"><a name="l03372"></a><span class="lineno"> 3372</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> |
| <div class="line"><a name="l03373"></a><span class="lineno"> 3373</span>  {</div> |
| <div class="line"><a name="l03374"></a><span class="lineno"> 3374</span>  <span class="keyword">auto</span> forgetLayerNormWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03375"></a><span class="lineno"> 3375</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(forgetLayerNormWeightsInfo, 1, numUnits, <span class="stringliteral">" forgetLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03376"></a><span class="lineno"> 3376</span>  ValidateDataTypes(forgetLayerNormWeightsInfo, layerNormPeepholeWeightsSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03377"></a><span class="lineno"> 3377</span>  </div> |
| <div class="line"><a name="l03378"></a><span class="lineno"> 3378</span>  <span class="keyword">auto</span> cellLayerNormWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03379"></a><span class="lineno"> 3379</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellLayerNormWeightsInfo, 1, numUnits, <span class="stringliteral">" cellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03380"></a><span class="lineno"> 3380</span>  ValidateTensorDataTypesMatch(forgetLayerNormWeightsInfo, cellLayerNormWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03381"></a><span class="lineno"> 3381</span>  <span class="stringliteral">"forgetLayerNormWeights"</span>, <span class="stringliteral">"cellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03382"></a><span class="lineno"> 3382</span>  </div> |
| <div class="line"><a name="l03383"></a><span class="lineno"> 3383</span>  <span class="keyword">auto</span> outputLayerNormWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03384"></a><span class="lineno"> 3384</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputLayerNormWeightsInfo, 1, numUnits, <span class="stringliteral">" outputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03385"></a><span class="lineno"> 3385</span>  ValidateTensorDataTypesMatch(forgetLayerNormWeightsInfo, outputLayerNormWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03386"></a><span class="lineno"> 3386</span>  <span class="stringliteral">"forgetLayerNormWeights"</span>, <span class="stringliteral">"outputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03387"></a><span class="lineno"> 3387</span>  </div> |
| <div class="line"><a name="l03388"></a><span class="lineno"> 3388</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l03389"></a><span class="lineno"> 3389</span>  {</div> |
| <div class="line"><a name="l03390"></a><span class="lineno"> 3390</span>  <span class="keyword">auto</span> inputLayerNormWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03391"></a><span class="lineno"> 3391</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputLayerNormWeightsInfo, 1, numUnits, <span class="stringliteral">" inputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03392"></a><span class="lineno"> 3392</span>  ValidateTensorDataTypesMatch(forgetLayerNormWeightsInfo, inputLayerNormWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03393"></a><span class="lineno"> 3393</span>  <span class="stringliteral">"forgetLayerNormWeights"</span>, <span class="stringliteral">"inputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03394"></a><span class="lineno"> 3394</span>  }</div> |
| <div class="line"><a name="l03395"></a><span class="lineno"> 3395</span>  }</div> |
| <div class="line"><a name="l03396"></a><span class="lineno"> 3396</span>  </div> |
| <div class="line"><a name="l03397"></a><span class="lineno"> 3397</span>  <span class="comment">// Validate OPTIONAL params: Projection (projectionWeights, projectionBias)</span></div> |
| <div class="line"><a name="l03398"></a><span class="lineno"> 3398</span>  <span class="keywordtype">bool</span> correctProjectionTensorsPresent =</div> |
| <div class="line"><a name="l03399"></a><span class="lineno"> 3399</span>  ((!<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> && !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>) ||</div> |
| <div class="line"><a name="l03400"></a><span class="lineno"> 3400</span>  (<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>) ||</div> |
| <div class="line"><a name="l03401"></a><span class="lineno"> 3401</span>  (<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>));</div> |
| <div class="line"><a name="l03402"></a><span class="lineno"> 3402</span>  </div> |
| <div class="line"><a name="l03403"></a><span class="lineno"> 3403</span>  <span class="keywordflow">if</span> (!correctProjectionTensorsPresent)</div> |
| <div class="line"><a name="l03404"></a><span class="lineno"> 3404</span>  {</div> |
| <div class="line"><a name="l03405"></a><span class="lineno"> 3405</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l03406"></a><span class="lineno"> 3406</span>  <span class="stringliteral">": If projection is enabled, ProjectionWeights should be present and "</span></div> |
| <div class="line"><a name="l03407"></a><span class="lineno"> 3407</span>  <span class="stringliteral">"ProjectionBias is optional. If projection is disabled, neither "</span></div> |
| <div class="line"><a name="l03408"></a><span class="lineno"> 3408</span>  <span class="stringliteral">"ProjectionWeights nor ProjectionBias should be present."</span>);</div> |
| <div class="line"><a name="l03409"></a><span class="lineno"> 3409</span>  }</div> |
| <div class="line"><a name="l03410"></a><span class="lineno"> 3410</span>  </div> |
| <div class="line"><a name="l03411"></a><span class="lineno"> 3411</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l03412"></a><span class="lineno"> 3412</span>  {</div> |
| <div class="line"><a name="l03413"></a><span class="lineno"> 3413</span>  <span class="keyword">auto</span> projectionWeightsInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03414"></a><span class="lineno"> 3414</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(projectionWeightsInfo, 2, (numUnits * outputSize), <span class="stringliteral">"ProjectionWeights"</span>);</div> |
| <div class="line"><a name="l03415"></a><span class="lineno"> 3415</span>  ValidateDataTypes(projectionWeightsInfo, weightsSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03416"></a><span class="lineno"> 3416</span>  </div> |
| <div class="line"><a name="l03417"></a><span class="lineno"> 3417</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>)</div> |
| <div class="line"><a name="l03418"></a><span class="lineno"> 3418</span>  {</div> |
| <div class="line"><a name="l03419"></a><span class="lineno"> 3419</span>  <span class="keyword">auto</span> projectionBiasInfo = <a class="code" href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03420"></a><span class="lineno"> 3420</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(projectionBiasInfo, 1, outputSize, <span class="stringliteral">"ProjectionBias"</span>);</div> |
| <div class="line"><a name="l03421"></a><span class="lineno"> 3421</span>  ValidateDataTypes(projectionBiasInfo, biasSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03422"></a><span class="lineno"> 3422</span>  }</div> |
| <div class="line"><a name="l03423"></a><span class="lineno"> 3423</span>  </div> |
| <div class="line"><a name="l03424"></a><span class="lineno"> 3424</span>  }</div> |
| <div class="line"><a name="l03425"></a><span class="lineno"> 3425</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> ((outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">m_HiddenStateScale</a>) &&</div> |
| <div class="line"><a name="l03426"></a><span class="lineno"> 3426</span>  outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">m_HiddenStateZeroPoint</a>) {</div> |
| <div class="line"><a name="l03427"></a><span class="lineno"> 3427</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l03428"></a><span class="lineno"> 3428</span>  <span class="stringliteral">": If projection is disabled, output quantization info (scale, offset) "</span></div> |
| <div class="line"><a name="l03429"></a><span class="lineno"> 3429</span>  <span class="stringliteral">"should match HiddenStateScale and HiddenStateZeroPoint."</span>);</div> |
| <div class="line"><a name="l03430"></a><span class="lineno"> 3430</span>  }</div> |
| <div class="line"><a name="l03431"></a><span class="lineno"> 3431</span>  </div> |
| <div class="line"><a name="l03432"></a><span class="lineno"> 3432</span> }</div> |
| <div class="line"><a name="l03433"></a><span class="lineno"> 3433</span>  </div> |
| <div class="line"><a name="l03434"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3434</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">QuantizedLstmQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03435"></a><span class="lineno"> 3435</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03436"></a><span class="lineno"> 3436</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"QuantizedLstmQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03437"></a><span class="lineno"> 3437</span>  </div> |
| <div class="line"><a name="l03438"></a><span class="lineno"> 3438</span>  <span class="comment">// Validate number of inputs/outputs</span></div> |
| <div class="line"><a name="l03439"></a><span class="lineno"> 3439</span>  ValidateNumInputs(workloadInfo, descriptorName, 3);</div> |
| <div class="line"><a name="l03440"></a><span class="lineno"> 3440</span>  ValidateNumOutputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l03441"></a><span class="lineno"> 3441</span>  </div> |
| <div class="line"><a name="l03442"></a><span class="lineno"> 3442</span>  <span class="comment">// Input/output tensor infos</span></div> |
| <div class="line"><a name="l03443"></a><span class="lineno"> 3443</span>  <span class="keyword">auto</span> inputInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03444"></a><span class="lineno"> 3444</span>  <span class="keyword">auto</span> cellStateInInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03445"></a><span class="lineno"> 3445</span>  <span class="keyword">auto</span> outputStateInInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2];</div> |
| <div class="line"><a name="l03446"></a><span class="lineno"> 3446</span>  </div> |
| <div class="line"><a name="l03447"></a><span class="lineno"> 3447</span>  <span class="keyword">auto</span> cellStateOutInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03448"></a><span class="lineno"> 3448</span>  <span class="keyword">auto</span> outputStateOutInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03449"></a><span class="lineno"> 3449</span>  </div> |
| <div class="line"><a name="l03450"></a><span class="lineno"> 3450</span>  std::vector<DataType> inputOutputSupportedTypes =</div> |
| <div class="line"><a name="l03451"></a><span class="lineno"> 3451</span>  {</div> |
| <div class="line"><a name="l03452"></a><span class="lineno"> 3452</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a></div> |
| <div class="line"><a name="l03453"></a><span class="lineno"> 3453</span>  };</div> |
| <div class="line"><a name="l03454"></a><span class="lineno"> 3454</span>  </div> |
| <div class="line"><a name="l03455"></a><span class="lineno"> 3455</span>  std::vector<DataType> cellStateSupportedTypes =</div> |
| <div class="line"><a name="l03456"></a><span class="lineno"> 3456</span>  {</div> |
| <div class="line"><a name="l03457"></a><span class="lineno"> 3457</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l03458"></a><span class="lineno"> 3458</span>  };</div> |
| <div class="line"><a name="l03459"></a><span class="lineno"> 3459</span>  </div> |
| <div class="line"><a name="l03460"></a><span class="lineno"> 3460</span>  std::vector<DataType> weightsSupportedTypes =</div> |
| <div class="line"><a name="l03461"></a><span class="lineno"> 3461</span>  {</div> |
| <div class="line"><a name="l03462"></a><span class="lineno"> 3462</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a></div> |
| <div class="line"><a name="l03463"></a><span class="lineno"> 3463</span>  };</div> |
| <div class="line"><a name="l03464"></a><span class="lineno"> 3464</span>  </div> |
| <div class="line"><a name="l03465"></a><span class="lineno"> 3465</span>  std::vector<DataType> biasSupportedTypes =</div> |
| <div class="line"><a name="l03466"></a><span class="lineno"> 3466</span>  {</div> |
| <div class="line"><a name="l03467"></a><span class="lineno"> 3467</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l03468"></a><span class="lineno"> 3468</span>  };</div> |
| <div class="line"><a name="l03469"></a><span class="lineno"> 3469</span>  </div> |
| <div class="line"><a name="l03470"></a><span class="lineno"> 3470</span>  <span class="comment">// Validate types of input/output tensors</span></div> |
| <div class="line"><a name="l03471"></a><span class="lineno"> 3471</span>  ValidateDataTypes(inputInfo, inputOutputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03472"></a><span class="lineno"> 3472</span>  ValidateDataTypes(cellStateInInfo, cellStateSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03473"></a><span class="lineno"> 3473</span>  ValidateDataTypes(outputStateInInfo, inputOutputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03474"></a><span class="lineno"> 3474</span>  </div> |
| <div class="line"><a name="l03475"></a><span class="lineno"> 3475</span>  ValidateDataTypes(cellStateOutInfo, cellStateSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03476"></a><span class="lineno"> 3476</span>  ValidateDataTypes(outputStateOutInfo, inputOutputSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03477"></a><span class="lineno"> 3477</span>  </div> |
| <div class="line"><a name="l03478"></a><span class="lineno"> 3478</span>  <span class="comment">// Validate matching types of input/output tensors</span></div> |
| <div class="line"><a name="l03479"></a><span class="lineno"> 3479</span>  ValidateTensorDataTypesMatch(inputInfo, outputStateInInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"outputStateIn"</span>);</div> |
| <div class="line"><a name="l03480"></a><span class="lineno"> 3480</span>  ValidateTensorDataTypesMatch(outputStateInInfo, outputStateOutInfo, descriptorName,</div> |
| <div class="line"><a name="l03481"></a><span class="lineno"> 3481</span>  <span class="stringliteral">"outputStateIn"</span>, <span class="stringliteral">"outputStateOut"</span>);</div> |
| <div class="line"><a name="l03482"></a><span class="lineno"> 3482</span>  ValidateTensorDataTypesMatch(cellStateInInfo, cellStateOutInfo, descriptorName, <span class="stringliteral">"cellStateIn"</span>, <span class="stringliteral">"cellStateOut"</span>);</div> |
| <div class="line"><a name="l03483"></a><span class="lineno"> 3483</span>  </div> |
| <div class="line"><a name="l03484"></a><span class="lineno"> 3484</span>  <span class="comment">// Validate matching quantization info for input/output tensors</span></div> |
| <div class="line"><a name="l03485"></a><span class="lineno"> 3485</span>  ValidateTensorQuantizationSpace(inputInfo, outputStateInInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"outputStateIn"</span>);</div> |
| <div class="line"><a name="l03486"></a><span class="lineno"> 3486</span>  ValidateTensorQuantizationSpace(inputInfo, outputStateOutInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"outputStateOut"</span>);</div> |
| <div class="line"><a name="l03487"></a><span class="lineno"> 3487</span>  ValidateTensorQuantizationSpace(cellStateInInfo, cellStateOutInfo, descriptorName, <span class="stringliteral">"cellStateIn"</span>, <span class="stringliteral">"cellStateOut"</span>);</div> |
| <div class="line"><a name="l03488"></a><span class="lineno"> 3488</span>  </div> |
| <div class="line"><a name="l03489"></a><span class="lineno"> 3489</span>  <span class="comment">// Infer number of batches, input size and output size from tensor dimensions</span></div> |
| <div class="line"><a name="l03490"></a><span class="lineno"> 3490</span>  <span class="keyword">const</span> uint32_t numBatches = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div> |
| <div class="line"><a name="l03491"></a><span class="lineno"> 3491</span>  <span class="keyword">const</span> uint32_t inputSize = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1];</div> |
| <div class="line"><a name="l03492"></a><span class="lineno"> 3492</span>  <span class="keyword">const</span> uint32_t outputSize = cellStateInInfo.GetShape()[1];</div> |
| <div class="line"><a name="l03493"></a><span class="lineno"> 3493</span>  </div> |
| <div class="line"><a name="l03494"></a><span class="lineno"> 3494</span>  <span class="comment">// Validate number of dimensions and number of elements for input/output tensors</span></div> |
| <div class="line"><a name="l03495"></a><span class="lineno"> 3495</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputInfo, 2, (numBatches * inputSize), descriptorName + <span class="stringliteral">" input"</span>);</div> |
| <div class="line"><a name="l03496"></a><span class="lineno"> 3496</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellStateInInfo, 2, (numBatches * outputSize), descriptorName + <span class="stringliteral">" cellStateIn"</span>);</div> |
| <div class="line"><a name="l03497"></a><span class="lineno"> 3497</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputStateInInfo, 2, (numBatches * outputSize), descriptorName + <span class="stringliteral">" outputStateIn"</span>);</div> |
| <div class="line"><a name="l03498"></a><span class="lineno"> 3498</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellStateOutInfo, 2, (numBatches * outputSize), descriptorName + <span class="stringliteral">" cellStateOut"</span>);</div> |
| <div class="line"><a name="l03499"></a><span class="lineno"> 3499</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputStateOutInfo, 2, (numBatches * outputSize), descriptorName + <span class="stringliteral">" outputStateOut"</span>);</div> |
| <div class="line"><a name="l03500"></a><span class="lineno"> 3500</span>  </div> |
| <div class="line"><a name="l03501"></a><span class="lineno"> 3501</span>  <span class="comment">// Validate number of dimensions and number of elements for weights tensors</span></div> |
| <div class="line"><a name="l03502"></a><span class="lineno"> 3502</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>, descriptorName, <span class="stringliteral">"InputToInputWeights"</span>);</div> |
| <div class="line"><a name="l03503"></a><span class="lineno"> 3503</span>  <span class="keyword">auto</span> inputToInputWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03504"></a><span class="lineno"> 3504</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToInputWeightsInfo, 2, (outputSize * inputSize), <span class="stringliteral">" InputToInputWeights"</span>);</div> |
| <div class="line"><a name="l03505"></a><span class="lineno"> 3505</span>  </div> |
| <div class="line"><a name="l03506"></a><span class="lineno"> 3506</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>, descriptorName, <span class="stringliteral">"InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03507"></a><span class="lineno"> 3507</span>  <span class="keyword">auto</span> inputToForgetWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03508"></a><span class="lineno"> 3508</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToForgetWeightsInfo, 2, (outputSize * inputSize), <span class="stringliteral">" InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03509"></a><span class="lineno"> 3509</span>  </div> |
| <div class="line"><a name="l03510"></a><span class="lineno"> 3510</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>, descriptorName, <span class="stringliteral">"InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l03511"></a><span class="lineno"> 3511</span>  <span class="keyword">auto</span> inputToCellWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03512"></a><span class="lineno"> 3512</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToCellWeightsInfo, 2, (outputSize * inputSize), <span class="stringliteral">" InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l03513"></a><span class="lineno"> 3513</span>  </div> |
| <div class="line"><a name="l03514"></a><span class="lineno"> 3514</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>, descriptorName, <span class="stringliteral">"InputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03515"></a><span class="lineno"> 3515</span>  <span class="keyword">auto</span> inputToOutputWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03516"></a><span class="lineno"> 3516</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputToOutputWeightsInfo, 2, (outputSize * inputSize), <span class="stringliteral">" InputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03517"></a><span class="lineno"> 3517</span>  </div> |
| <div class="line"><a name="l03518"></a><span class="lineno"> 3518</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>, descriptorName, <span class="stringliteral">"RecurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l03519"></a><span class="lineno"> 3519</span>  <span class="keyword">auto</span> recurrentToInputWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03520"></a><span class="lineno"> 3520</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToInputWeightsInfo, 2, (outputSize * outputSize), <span class="stringliteral">" RecurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l03521"></a><span class="lineno"> 3521</span>  </div> |
| <div class="line"><a name="l03522"></a><span class="lineno"> 3522</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>, descriptorName, <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03523"></a><span class="lineno"> 3523</span>  <span class="keyword">auto</span> recurrentToForgetWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03524"></a><span class="lineno"> 3524</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToForgetWeightsInfo, 2, (outputSize * outputSize),</div> |
| <div class="line"><a name="l03525"></a><span class="lineno"> 3525</span>  <span class="stringliteral">" RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03526"></a><span class="lineno"> 3526</span>  </div> |
| <div class="line"><a name="l03527"></a><span class="lineno"> 3527</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>, descriptorName, <span class="stringliteral">"RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03528"></a><span class="lineno"> 3528</span>  <span class="keyword">auto</span> recurrentToCellWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03529"></a><span class="lineno"> 3529</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToCellWeightsInfo, 2, (outputSize * outputSize), <span class="stringliteral">" RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03530"></a><span class="lineno"> 3530</span>  </div> |
| <div class="line"><a name="l03531"></a><span class="lineno"> 3531</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>, descriptorName, <span class="stringliteral">"RecurrentToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03532"></a><span class="lineno"> 3532</span>  <span class="keyword">auto</span> recurrentToOutputWeightsInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03533"></a><span class="lineno"> 3533</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(recurrentToOutputWeightsInfo, 2, (outputSize * outputSize), <span class="stringliteral">" RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03534"></a><span class="lineno"> 3534</span>  </div> |
| <div class="line"><a name="l03535"></a><span class="lineno"> 3535</span>  <span class="comment">// Validate data types for weights tensors (all should match each other)</span></div> |
| <div class="line"><a name="l03536"></a><span class="lineno"> 3536</span>  ValidateDataTypes(inputToInputWeightsInfo, weightsSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03537"></a><span class="lineno"> 3537</span>  </div> |
| <div class="line"><a name="l03538"></a><span class="lineno"> 3538</span>  ValidateTensorDataTypesMatch(inputToInputWeightsInfo, inputToForgetWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03539"></a><span class="lineno"> 3539</span>  <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"inputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03540"></a><span class="lineno"> 3540</span>  ValidateTensorDataTypesMatch(inputToInputWeightsInfo, inputToCellWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03541"></a><span class="lineno"> 3541</span>  <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"inputToCellWeights"</span>);</div> |
| <div class="line"><a name="l03542"></a><span class="lineno"> 3542</span>  ValidateTensorDataTypesMatch(inputToInputWeightsInfo, inputToOutputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03543"></a><span class="lineno"> 3543</span>  <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"inputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03544"></a><span class="lineno"> 3544</span>  </div> |
| <div class="line"><a name="l03545"></a><span class="lineno"> 3545</span>  ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToInputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03546"></a><span class="lineno"> 3546</span>  <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l03547"></a><span class="lineno"> 3547</span>  ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToForgetWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03548"></a><span class="lineno"> 3548</span>  <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToForgeteights"</span>);</div> |
| <div class="line"><a name="l03549"></a><span class="lineno"> 3549</span>  ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToCellWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03550"></a><span class="lineno"> 3550</span>  <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03551"></a><span class="lineno"> 3551</span>  ValidateTensorDataTypesMatch(inputToInputWeightsInfo, recurrentToOutputWeightsInfo, descriptorName,</div> |
| <div class="line"><a name="l03552"></a><span class="lineno"> 3552</span>  <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03553"></a><span class="lineno"> 3553</span>  </div> |
| <div class="line"><a name="l03554"></a><span class="lineno"> 3554</span>  <span class="comment">// Validate matching quantization info for weight tensors (all should match each other)</span></div> |
| <div class="line"><a name="l03555"></a><span class="lineno"> 3555</span>  ValidateTensorQuantizationSpace(inputToInputWeightsInfo, inputToForgetWeightsInfo,</div> |
| <div class="line"><a name="l03556"></a><span class="lineno"> 3556</span>  descriptorName, <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"inputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03557"></a><span class="lineno"> 3557</span>  ValidateTensorQuantizationSpace(inputToInputWeightsInfo, inputToCellWeightsInfo,</div> |
| <div class="line"><a name="l03558"></a><span class="lineno"> 3558</span>  descriptorName, <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"inputToCellWeights"</span>);</div> |
| <div class="line"><a name="l03559"></a><span class="lineno"> 3559</span>  ValidateTensorQuantizationSpace(inputToInputWeightsInfo, inputToOutputWeightsInfo,</div> |
| <div class="line"><a name="l03560"></a><span class="lineno"> 3560</span>  descriptorName, <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"inputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03561"></a><span class="lineno"> 3561</span>  </div> |
| <div class="line"><a name="l03562"></a><span class="lineno"> 3562</span>  ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToInputWeightsInfo,</div> |
| <div class="line"><a name="l03563"></a><span class="lineno"> 3563</span>  descriptorName, <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l03564"></a><span class="lineno"> 3564</span>  ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToForgetWeightsInfo,</div> |
| <div class="line"><a name="l03565"></a><span class="lineno"> 3565</span>  descriptorName, <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l03566"></a><span class="lineno"> 3566</span>  ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToCellWeightsInfo,</div> |
| <div class="line"><a name="l03567"></a><span class="lineno"> 3567</span>  descriptorName, <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l03568"></a><span class="lineno"> 3568</span>  ValidateTensorQuantizationSpace(inputToInputWeightsInfo, recurrentToOutputWeightsInfo,</div> |
| <div class="line"><a name="l03569"></a><span class="lineno"> 3569</span>  descriptorName, <span class="stringliteral">"inputToInputWeights"</span>, <span class="stringliteral">"recurrentToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03570"></a><span class="lineno"> 3570</span>  </div> |
| <div class="line"><a name="l03571"></a><span class="lineno"> 3571</span>  <span class="comment">// Validate number of dimensions and number of elements in bias tensors</span></div> |
| <div class="line"><a name="l03572"></a><span class="lineno"> 3572</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>, descriptorName, <span class="stringliteral">"InputGateBias"</span>);</div> |
| <div class="line"><a name="l03573"></a><span class="lineno"> 3573</span>  <span class="keyword">auto</span> inputGateBiasInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03574"></a><span class="lineno"> 3574</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(inputGateBiasInfo, 1, outputSize, <span class="stringliteral">" InputGateBias"</span>);</div> |
| <div class="line"><a name="l03575"></a><span class="lineno"> 3575</span>  </div> |
| <div class="line"><a name="l03576"></a><span class="lineno"> 3576</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>, descriptorName, <span class="stringliteral">"ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l03577"></a><span class="lineno"> 3577</span>  <span class="keyword">auto</span> forgetGateBiasInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03578"></a><span class="lineno"> 3578</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(forgetGateBiasInfo, 1, outputSize, <span class="stringliteral">" ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l03579"></a><span class="lineno"> 3579</span>  </div> |
| <div class="line"><a name="l03580"></a><span class="lineno"> 3580</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>, descriptorName, <span class="stringliteral">"CellBias"</span>);</div> |
| <div class="line"><a name="l03581"></a><span class="lineno"> 3581</span>  <span class="keyword">auto</span> cellBiasInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03582"></a><span class="lineno"> 3582</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(cellBiasInfo, 1, outputSize, <span class="stringliteral">" CellBias"</span>);</div> |
| <div class="line"><a name="l03583"></a><span class="lineno"> 3583</span>  </div> |
| <div class="line"><a name="l03584"></a><span class="lineno"> 3584</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>, descriptorName, <span class="stringliteral">"OutputGateBias"</span>);</div> |
| <div class="line"><a name="l03585"></a><span class="lineno"> 3585</span>  <span class="keyword">auto</span> outputGateBiasInfo = <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l03586"></a><span class="lineno"> 3586</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(outputGateBiasInfo, 1, outputSize, <span class="stringliteral">" OutputGateBias"</span>);</div> |
| <div class="line"><a name="l03587"></a><span class="lineno"> 3587</span>  </div> |
| <div class="line"><a name="l03588"></a><span class="lineno"> 3588</span>  <span class="comment">// Validate data types for bias tensors (all should match each other)</span></div> |
| <div class="line"><a name="l03589"></a><span class="lineno"> 3589</span>  ValidateDataTypes(inputGateBiasInfo, biasSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03590"></a><span class="lineno"> 3590</span>  </div> |
| <div class="line"><a name="l03591"></a><span class="lineno"> 3591</span>  ValidateTensorDataTypesMatch(inputGateBiasInfo, forgetGateBiasInfo, descriptorName,</div> |
| <div class="line"><a name="l03592"></a><span class="lineno"> 3592</span>  <span class="stringliteral">"inputGateBias"</span>, <span class="stringliteral">"forgetGateBias"</span>);</div> |
| <div class="line"><a name="l03593"></a><span class="lineno"> 3593</span>  ValidateTensorDataTypesMatch(inputGateBiasInfo, cellBiasInfo, descriptorName,</div> |
| <div class="line"><a name="l03594"></a><span class="lineno"> 3594</span>  <span class="stringliteral">"inputGateBias"</span>, <span class="stringliteral">"cellBias"</span>);</div> |
| <div class="line"><a name="l03595"></a><span class="lineno"> 3595</span>  ValidateTensorDataTypesMatch(inputGateBiasInfo, outputGateBiasInfo, descriptorName,</div> |
| <div class="line"><a name="l03596"></a><span class="lineno"> 3596</span>  <span class="stringliteral">"inputGateBias"</span>, <span class="stringliteral">"outputGateBias"</span>);</div> |
| <div class="line"><a name="l03597"></a><span class="lineno"> 3597</span>  </div> |
| <div class="line"><a name="l03598"></a><span class="lineno"> 3598</span>  <span class="comment">// Validate bias tensor quantization info</span></div> |
| <div class="line"><a name="l03599"></a><span class="lineno"> 3599</span>  ValidateBiasTensorQuantization(inputGateBiasInfo, inputToInputWeightsInfo, descriptorName);</div> |
| <div class="line"><a name="l03600"></a><span class="lineno"> 3600</span>  ValidateBiasTensorQuantization(forgetGateBiasInfo, inputToInputWeightsInfo, descriptorName);</div> |
| <div class="line"><a name="l03601"></a><span class="lineno"> 3601</span>  ValidateBiasTensorQuantization(cellBiasInfo, inputToInputWeightsInfo, descriptorName);</div> |
| <div class="line"><a name="l03602"></a><span class="lineno"> 3602</span>  ValidateBiasTensorQuantization(outputGateBiasInfo, inputToInputWeightsInfo, descriptorName);</div> |
| <div class="line"><a name="l03603"></a><span class="lineno"> 3603</span> }</div> |
| <div class="line"><a name="l03604"></a><span class="lineno"> 3604</span>  </div> |
| <div class="line"><a name="l03605"></a><span class="lineno"><a class="line" href="structarmnn_1_1_abs_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3605</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_abs_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">AbsQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03606"></a><span class="lineno"> 3606</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03607"></a><span class="lineno"> 3607</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"AbsQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03608"></a><span class="lineno"> 3608</span>  </div> |
| <div class="line"><a name="l03609"></a><span class="lineno"> 3609</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03610"></a><span class="lineno"> 3610</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03611"></a><span class="lineno"> 3611</span>  </div> |
| <div class="line"><a name="l03612"></a><span class="lineno"> 3612</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03613"></a><span class="lineno"> 3613</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03614"></a><span class="lineno"> 3614</span>  </div> |
| <div class="line"><a name="l03615"></a><span class="lineno"> 3615</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03616"></a><span class="lineno"> 3616</span>  </div> |
| <div class="line"><a name="l03617"></a><span class="lineno"> 3617</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03618"></a><span class="lineno"> 3618</span>  {</div> |
| <div class="line"><a name="l03619"></a><span class="lineno"> 3619</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03620"></a><span class="lineno"> 3620</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03621"></a><span class="lineno"> 3621</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03622"></a><span class="lineno"> 3622</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03623"></a><span class="lineno"> 3623</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03624"></a><span class="lineno"> 3624</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l03625"></a><span class="lineno"> 3625</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l03626"></a><span class="lineno"> 3626</span>  };</div> |
| <div class="line"><a name="l03627"></a><span class="lineno"> 3627</span>  </div> |
| <div class="line"><a name="l03628"></a><span class="lineno"> 3628</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03629"></a><span class="lineno"> 3629</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03630"></a><span class="lineno"> 3630</span> }</div> |
| <div class="line"><a name="l03631"></a><span class="lineno"> 3631</span>  </div> |
| <div class="line"><a name="l03632"></a><span class="lineno"><a class="line" href="structarmnn_1_1_slice_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3632</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_slice_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">SliceQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03633"></a><span class="lineno"> 3633</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03634"></a><span class="lineno"> 3634</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"SliceQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03635"></a><span class="lineno"> 3635</span>  </div> |
| <div class="line"><a name="l03636"></a><span class="lineno"> 3636</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03637"></a><span class="lineno"> 3637</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03638"></a><span class="lineno"> 3638</span>  </div> |
| <div class="line"><a name="l03639"></a><span class="lineno"> 3639</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03640"></a><span class="lineno"> 3640</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03641"></a><span class="lineno"> 3641</span>  </div> |
| <div class="line"><a name="l03642"></a><span class="lineno"> 3642</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03643"></a><span class="lineno"> 3643</span>  </div> |
| <div class="line"><a name="l03644"></a><span class="lineno"> 3644</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l03645"></a><span class="lineno"> 3645</span>  <span class="keywordflow">if</span> (rank > 4)</div> |
| <div class="line"><a name="l03646"></a><span class="lineno"> 3646</span>  {</div> |
| <div class="line"><a name="l03647"></a><span class="lineno"> 3647</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensors with rank greater than 4 are not supported."</span>);</div> |
| <div class="line"><a name="l03648"></a><span class="lineno"> 3648</span>  }</div> |
| <div class="line"><a name="l03649"></a><span class="lineno"> 3649</span>  </div> |
| <div class="line"><a name="l03650"></a><span class="lineno"> 3650</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, rank, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03651"></a><span class="lineno"> 3651</span>  </div> |
| <div class="line"><a name="l03652"></a><span class="lineno"> 3652</span>  <span class="comment">// Check if m_Begin and m_Size have the expected length</span></div> |
| <div class="line"><a name="l03653"></a><span class="lineno"> 3653</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>.size() != rank)</div> |
| <div class="line"><a name="l03654"></a><span class="lineno"> 3654</span>  {</div> |
| <div class="line"><a name="l03655"></a><span class="lineno"> 3655</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l03656"></a><span class="lineno"> 3656</span>  <span class="stringliteral">": Length of begin offset descriptor must equal rank "</span> + std::to_string(rank));</div> |
| <div class="line"><a name="l03657"></a><span class="lineno"> 3657</span>  }</div> |
| <div class="line"><a name="l03658"></a><span class="lineno"> 3658</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>.size() != rank)</div> |
| <div class="line"><a name="l03659"></a><span class="lineno"> 3659</span>  {</div> |
| <div class="line"><a name="l03660"></a><span class="lineno"> 3660</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l03661"></a><span class="lineno"> 3661</span>  <span class="stringliteral">": Length of size descriptor must equal rank "</span> + std::to_string(rank));</div> |
| <div class="line"><a name="l03662"></a><span class="lineno"> 3662</span>  }</div> |
| <div class="line"><a name="l03663"></a><span class="lineno"> 3663</span>  </div> |
| <div class="line"><a name="l03664"></a><span class="lineno"> 3664</span>  <span class="comment">// Check if the shape of the output tensor matches m_Size</span></div> |
| <div class="line"><a name="l03665"></a><span class="lineno"> 3665</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l03666"></a><span class="lineno"> 3666</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < rank; ++i)</div> |
| <div class="line"><a name="l03667"></a><span class="lineno"> 3667</span>  {</div> |
| <div class="line"><a name="l03668"></a><span class="lineno"> 3668</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>[i] != outputShape[i])</div> |
| <div class="line"><a name="l03669"></a><span class="lineno"> 3669</span>  {</div> |
| <div class="line"><a name="l03670"></a><span class="lineno"> 3670</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Size descriptor does not match output tensor."</span>);</div> |
| <div class="line"><a name="l03671"></a><span class="lineno"> 3671</span>  }</div> |
| <div class="line"><a name="l03672"></a><span class="lineno"> 3672</span>  }</div> |
| <div class="line"><a name="l03673"></a><span class="lineno"> 3673</span>  </div> |
| <div class="line"><a name="l03674"></a><span class="lineno"> 3674</span>  <span class="comment">// Check if the sum of begin offset and size in a given dimension</span></div> |
| <div class="line"><a name="l03675"></a><span class="lineno"> 3675</span>  <span class="comment">// does not exceed the size of corresponding input</span></div> |
| <div class="line"><a name="l03676"></a><span class="lineno"> 3676</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l03677"></a><span class="lineno"> 3677</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < rank; ++i)</div> |
| <div class="line"><a name="l03678"></a><span class="lineno"> 3678</span>  {</div> |
| <div class="line"><a name="l03679"></a><span class="lineno"> 3679</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">m_Begin</a>[i] + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">m_Size</a>[i] > inputShape[i])</div> |
| <div class="line"><a name="l03680"></a><span class="lineno"> 3680</span>  {</div> |
| <div class="line"><a name="l03681"></a><span class="lineno"> 3681</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Sum of begin offset and size for dimension "</span> +</div> |
| <div class="line"><a name="l03682"></a><span class="lineno"> 3682</span>  std::to_string(i) + <span class="stringliteral">" exceeds input size."</span>);</div> |
| <div class="line"><a name="l03683"></a><span class="lineno"> 3683</span>  }</div> |
| <div class="line"><a name="l03684"></a><span class="lineno"> 3684</span>  }</div> |
| <div class="line"><a name="l03685"></a><span class="lineno"> 3685</span> }</div> |
| <div class="line"><a name="l03686"></a><span class="lineno"> 3686</span>  </div> |
| <div class="line"><a name="l03687"></a><span class="lineno"><a class="line" href="structarmnn_1_1_depth_to_space_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3687</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_depth_to_space_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">DepthToSpaceQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03688"></a><span class="lineno"> 3688</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03689"></a><span class="lineno"> 3689</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"DepthToSpaceQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03690"></a><span class="lineno"> 3690</span>  </div> |
| <div class="line"><a name="l03691"></a><span class="lineno"> 3691</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03692"></a><span class="lineno"> 3692</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03693"></a><span class="lineno"> 3693</span>  </div> |
| <div class="line"><a name="l03694"></a><span class="lineno"> 3694</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03695"></a><span class="lineno"> 3695</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03696"></a><span class="lineno"> 3696</span>  </div> |
| <div class="line"><a name="l03697"></a><span class="lineno"> 3697</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div> |
| <div class="line"><a name="l03698"></a><span class="lineno"> 3698</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03699"></a><span class="lineno"> 3699</span>  </div> |
| <div class="line"><a name="l03700"></a><span class="lineno"> 3700</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03701"></a><span class="lineno"> 3701</span>  {</div> |
| <div class="line"><a name="l03702"></a><span class="lineno"> 3702</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03703"></a><span class="lineno"> 3703</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03704"></a><span class="lineno"> 3704</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03705"></a><span class="lineno"> 3705</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03706"></a><span class="lineno"> 3706</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03707"></a><span class="lineno"> 3707</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l03708"></a><span class="lineno"> 3708</span>  };</div> |
| <div class="line"><a name="l03709"></a><span class="lineno"> 3709</span>  </div> |
| <div class="line"><a name="l03710"></a><span class="lineno"> 3710</span>  ValidateDataTypes(inputInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03711"></a><span class="lineno"> 3711</span>  ValidateDataTypes(outputInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03712"></a><span class="lineno"> 3712</span>  </div> |
| <div class="line"><a name="l03713"></a><span class="lineno"> 3713</span>  ValidateTensorNumElementsMatch(inputInfo, outputInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03714"></a><span class="lineno"> 3714</span>  </div> |
| <div class="line"><a name="l03715"></a><span class="lineno"> 3715</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> == 0)</div> |
| <div class="line"><a name="l03716"></a><span class="lineno"> 3716</span>  {</div> |
| <div class="line"><a name="l03717"></a><span class="lineno"> 3717</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Block size cannot be 0."</span>);</div> |
| <div class="line"><a name="l03718"></a><span class="lineno"> 3718</span>  }</div> |
| <div class="line"><a name="l03719"></a><span class="lineno"> 3719</span>  </div> |
| <div class="line"><a name="l03720"></a><span class="lineno"> 3720</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dimensionIndices(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> |
| <div class="line"><a name="l03721"></a><span class="lineno"> 3721</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wIndex = dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>();</div> |
| <div class="line"><a name="l03722"></a><span class="lineno"> 3722</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hIndex = dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>();</div> |
| <div class="line"><a name="l03723"></a><span class="lineno"> 3723</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cIndex = dimensionIndices.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a861b2621ee46e4b63379988b360b8cd9">GetChannelsIndex</a>();</div> |
| <div class="line"><a name="l03724"></a><span class="lineno"> 3724</span>  </div> |
| <div class="line"><a name="l03725"></a><span class="lineno"> 3725</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l03726"></a><span class="lineno"> 3726</span>  <span class="keywordflow">if</span> (outputShape[hIndex] % <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> != 0 || outputShape[wIndex] % <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> != 0)</div> |
| <div class="line"><a name="l03727"></a><span class="lineno"> 3727</span>  {</div> |
| <div class="line"><a name="l03728"></a><span class="lineno"> 3728</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output width and height shape"</span></div> |
| <div class="line"><a name="l03729"></a><span class="lineno"> 3729</span>  <span class="stringliteral">"must be divisible by block size."</span>);</div> |
| <div class="line"><a name="l03730"></a><span class="lineno"> 3730</span>  }</div> |
| <div class="line"><a name="l03731"></a><span class="lineno"> 3731</span>  </div> |
| <div class="line"><a name="l03732"></a><span class="lineno"> 3732</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> |
| <div class="line"><a name="l03733"></a><span class="lineno"> 3733</span>  <span class="keywordflow">if</span> (inputShape[cIndex] % (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> * <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a>) != 0)</div> |
| <div class="line"><a name="l03734"></a><span class="lineno"> 3734</span>  {</div> |
| <div class="line"><a name="l03735"></a><span class="lineno"> 3735</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": The depth of the input tensor"</span></div> |
| <div class="line"><a name="l03736"></a><span class="lineno"> 3736</span>  <span class="stringliteral">"must be divisible by the square of block size."</span> );</div> |
| <div class="line"><a name="l03737"></a><span class="lineno"> 3737</span>  }</div> |
| <div class="line"><a name="l03738"></a><span class="lineno"> 3738</span> }</div> |
| <div class="line"><a name="l03739"></a><span class="lineno"> 3739</span>  </div> |
| <div class="line"><a name="l03740"></a><span class="lineno"><a class="line" href="structarmnn_1_1_comparison_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3740</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_comparison_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ComparisonQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03741"></a><span class="lineno"> 3741</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03742"></a><span class="lineno"> 3742</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ComparisonQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03743"></a><span class="lineno"> 3743</span>  </div> |
| <div class="line"><a name="l03744"></a><span class="lineno"> 3744</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l03745"></a><span class="lineno"> 3745</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03746"></a><span class="lineno"> 3746</span>  </div> |
| <div class="line"><a name="l03747"></a><span class="lineno"> 3747</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03748"></a><span class="lineno"> 3748</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03749"></a><span class="lineno"> 3749</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03750"></a><span class="lineno"> 3750</span>  </div> |
| <div class="line"><a name="l03751"></a><span class="lineno"> 3751</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l03752"></a><span class="lineno"> 3752</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l03753"></a><span class="lineno"> 3753</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l03754"></a><span class="lineno"> 3754</span>  descriptorName,</div> |
| <div class="line"><a name="l03755"></a><span class="lineno"> 3755</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l03756"></a><span class="lineno"> 3756</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l03757"></a><span class="lineno"> 3757</span>  </div> |
| <div class="line"><a name="l03758"></a><span class="lineno"> 3758</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>)</div> |
| <div class="line"><a name="l03759"></a><span class="lineno"> 3759</span>  {</div> |
| <div class="line"><a name="l03760"></a><span class="lineno"> 3760</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor type must be Boolean."</span>);</div> |
| <div class="line"><a name="l03761"></a><span class="lineno"> 3761</span>  }</div> |
| <div class="line"><a name="l03762"></a><span class="lineno"> 3762</span> }</div> |
| <div class="line"><a name="l03763"></a><span class="lineno"> 3763</span>  </div> |
| <div class="line"><a name="l03764"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_binary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3764</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_elementwise_binary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ElementwiseBinaryQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03765"></a><span class="lineno"> 3765</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03766"></a><span class="lineno"> 3766</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ElementwiseBinaryQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03767"></a><span class="lineno"> 3767</span>  </div> |
| <div class="line"><a name="l03768"></a><span class="lineno"> 3768</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l03769"></a><span class="lineno"> 3769</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03770"></a><span class="lineno"> 3770</span>  </div> |
| <div class="line"><a name="l03771"></a><span class="lineno"> 3771</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03772"></a><span class="lineno"> 3772</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03773"></a><span class="lineno"> 3773</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03774"></a><span class="lineno"> 3774</span>  </div> |
| <div class="line"><a name="l03775"></a><span class="lineno"> 3775</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03776"></a><span class="lineno"> 3776</span>  {</div> |
| <div class="line"><a name="l03777"></a><span class="lineno"> 3777</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03778"></a><span class="lineno"> 3778</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03779"></a><span class="lineno"> 3779</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03780"></a><span class="lineno"> 3780</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03781"></a><span class="lineno"> 3781</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03782"></a><span class="lineno"> 3782</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l03783"></a><span class="lineno"> 3783</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l03784"></a><span class="lineno"> 3784</span>  };</div> |
| <div class="line"><a name="l03785"></a><span class="lineno"> 3785</span>  </div> |
| <div class="line"><a name="l03786"></a><span class="lineno"> 3786</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03787"></a><span class="lineno"> 3787</span>  ValidateDataTypes(inputTensorInfo1, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03788"></a><span class="lineno"> 3788</span>  </div> |
| <div class="line"><a name="l03789"></a><span class="lineno"> 3789</span>  ValidateTensorDataTypesMatch(inputTensorInfo0, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03790"></a><span class="lineno"> 3790</span>  ValidateTensorDataTypesMatch(inputTensorInfo1, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03791"></a><span class="lineno"> 3791</span> }</div> |
| <div class="line"><a name="l03792"></a><span class="lineno"> 3792</span>  </div> |
| <div class="line"><a name="l03793"></a><span class="lineno"><a class="line" href="structarmnn_1_1_elementwise_unary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3793</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_elementwise_unary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ElementwiseUnaryQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03794"></a><span class="lineno"> 3794</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03795"></a><span class="lineno"> 3795</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ElementwiseUnaryQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03796"></a><span class="lineno"> 3796</span>  </div> |
| <div class="line"><a name="l03797"></a><span class="lineno"> 3797</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03798"></a><span class="lineno"> 3798</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03799"></a><span class="lineno"> 3799</span>  </div> |
| <div class="line"><a name="l03800"></a><span class="lineno"> 3800</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03801"></a><span class="lineno"> 3801</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03802"></a><span class="lineno"> 3802</span>  </div> |
| <div class="line"><a name="l03803"></a><span class="lineno"> 3803</span>  ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03804"></a><span class="lineno"> 3804</span>  </div> |
| <div class="line"><a name="l03805"></a><span class="lineno"> 3805</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03806"></a><span class="lineno"> 3806</span>  {</div> |
| <div class="line"><a name="l03807"></a><span class="lineno"> 3807</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03808"></a><span class="lineno"> 3808</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03809"></a><span class="lineno"> 3809</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03810"></a><span class="lineno"> 3810</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03811"></a><span class="lineno"> 3811</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03812"></a><span class="lineno"> 3812</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l03813"></a><span class="lineno"> 3813</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l03814"></a><span class="lineno"> 3814</span>  };</div> |
| <div class="line"><a name="l03815"></a><span class="lineno"> 3815</span>  </div> |
| <div class="line"><a name="l03816"></a><span class="lineno"> 3816</span>  std::vector<DataType> logicalSupportedTypes =</div> |
| <div class="line"><a name="l03817"></a><span class="lineno"> 3817</span>  {</div> |
| <div class="line"><a name="l03818"></a><span class="lineno"> 3818</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a></div> |
| <div class="line"><a name="l03819"></a><span class="lineno"> 3819</span>  };</div> |
| <div class="line"><a name="l03820"></a><span class="lineno"> 3820</span>  </div> |
| <div class="line"><a name="l03821"></a><span class="lineno"> 3821</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">m_Operation</a> == <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">UnaryOperation::LogicalNot</a>)</div> |
| <div class="line"><a name="l03822"></a><span class="lineno"> 3822</span>  {</div> |
| <div class="line"><a name="l03823"></a><span class="lineno"> 3823</span>  ValidateDataTypes(inputTensorInfo, logicalSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03824"></a><span class="lineno"> 3824</span>  }</div> |
| <div class="line"><a name="l03825"></a><span class="lineno"> 3825</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l03826"></a><span class="lineno"> 3826</span>  {</div> |
| <div class="line"><a name="l03827"></a><span class="lineno"> 3827</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03828"></a><span class="lineno"> 3828</span>  }</div> |
| <div class="line"><a name="l03829"></a><span class="lineno"> 3829</span>  </div> |
| <div class="line"><a name="l03830"></a><span class="lineno"> 3830</span>  </div> |
| <div class="line"><a name="l03831"></a><span class="lineno"> 3831</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03832"></a><span class="lineno"> 3832</span> }</div> |
| <div class="line"><a name="l03833"></a><span class="lineno"> 3833</span>  </div> |
| <div class="line"><a name="l03834"></a><span class="lineno"><a class="line" href="structarmnn_1_1_rank_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3834</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_rank_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">RankQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03835"></a><span class="lineno"> 3835</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03836"></a><span class="lineno"> 3836</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"RankQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03837"></a><span class="lineno"> 3837</span>  </div> |
| <div class="line"><a name="l03838"></a><span class="lineno"> 3838</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03839"></a><span class="lineno"> 3839</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03840"></a><span class="lineno"> 3840</span>  </div> |
| <div class="line"><a name="l03841"></a><span class="lineno"> 3841</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03842"></a><span class="lineno"> 3842</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03843"></a><span class="lineno"> 3843</span>  </div> |
| <div class="line"><a name="l03844"></a><span class="lineno"> 3844</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 1, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03845"></a><span class="lineno"> 3845</span>  ValidateTensorNumElements(outputTensorInfo, descriptorName, 1, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03846"></a><span class="lineno"> 3846</span>  </div> |
| <div class="line"><a name="l03847"></a><span class="lineno"> 3847</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03848"></a><span class="lineno"> 3848</span>  {</div> |
| <div class="line"><a name="l03849"></a><span class="lineno"> 3849</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03850"></a><span class="lineno"> 3850</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03851"></a><span class="lineno"> 3851</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03852"></a><span class="lineno"> 3852</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03853"></a><span class="lineno"> 3853</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03854"></a><span class="lineno"> 3854</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l03855"></a><span class="lineno"> 3855</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l03856"></a><span class="lineno"> 3856</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l03857"></a><span class="lineno"> 3857</span>  };</div> |
| <div class="line"><a name="l03858"></a><span class="lineno"> 3858</span>  </div> |
| <div class="line"><a name="l03859"></a><span class="lineno"> 3859</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03860"></a><span class="lineno"> 3860</span>  ValidateDataTypes(outputTensorInfo, { <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a> }, descriptorName);</div> |
| <div class="line"><a name="l03861"></a><span class="lineno"> 3861</span> }</div> |
| <div class="line"><a name="l03862"></a><span class="lineno"> 3862</span>  </div> |
| <div class="line"><a name="l03863"></a><span class="lineno"><a class="line" href="structarmnn_1_1_logical_binary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3863</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_logical_binary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">LogicalBinaryQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03864"></a><span class="lineno"> 3864</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03865"></a><span class="lineno"> 3865</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"LogicalBinaryQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03866"></a><span class="lineno"> 3866</span>  </div> |
| <div class="line"><a name="l03867"></a><span class="lineno"> 3867</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l03868"></a><span class="lineno"> 3868</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03869"></a><span class="lineno"> 3869</span>  </div> |
| <div class="line"><a name="l03870"></a><span class="lineno"> 3870</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03871"></a><span class="lineno"> 3871</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l03872"></a><span class="lineno"> 3872</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03873"></a><span class="lineno"> 3873</span>  </div> |
| <div class="line"><a name="l03874"></a><span class="lineno"> 3874</span>  ValidateBroadcastTensorShapesMatch(inputTensorInfo0,</div> |
| <div class="line"><a name="l03875"></a><span class="lineno"> 3875</span>  inputTensorInfo1,</div> |
| <div class="line"><a name="l03876"></a><span class="lineno"> 3876</span>  outputTensorInfo,</div> |
| <div class="line"><a name="l03877"></a><span class="lineno"> 3877</span>  descriptorName,</div> |
| <div class="line"><a name="l03878"></a><span class="lineno"> 3878</span>  <span class="stringliteral">"input_0"</span>,</div> |
| <div class="line"><a name="l03879"></a><span class="lineno"> 3879</span>  <span class="stringliteral">"input_1"</span>);</div> |
| <div class="line"><a name="l03880"></a><span class="lineno"> 3880</span>  </div> |
| <div class="line"><a name="l03881"></a><span class="lineno"> 3881</span>  <span class="keywordflow">if</span> (inputTensorInfo0.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>)</div> |
| <div class="line"><a name="l03882"></a><span class="lineno"> 3882</span>  {</div> |
| <div class="line"><a name="l03883"></a><span class="lineno"> 3883</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensor 0 type must be Boolean."</span>);</div> |
| <div class="line"><a name="l03884"></a><span class="lineno"> 3884</span>  }</div> |
| <div class="line"><a name="l03885"></a><span class="lineno"> 3885</span>  </div> |
| <div class="line"><a name="l03886"></a><span class="lineno"> 3886</span>  <span class="keywordflow">if</span> (inputTensorInfo1.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>)</div> |
| <div class="line"><a name="l03887"></a><span class="lineno"> 3887</span>  {</div> |
| <div class="line"><a name="l03888"></a><span class="lineno"> 3888</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensor 1 type must be Boolean."</span>);</div> |
| <div class="line"><a name="l03889"></a><span class="lineno"> 3889</span>  }</div> |
| <div class="line"><a name="l03890"></a><span class="lineno"> 3890</span>  </div> |
| <div class="line"><a name="l03891"></a><span class="lineno"> 3891</span>  <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>)</div> |
| <div class="line"><a name="l03892"></a><span class="lineno"> 3892</span>  {</div> |
| <div class="line"><a name="l03893"></a><span class="lineno"> 3893</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Output tensor type must be Boolean."</span>);</div> |
| <div class="line"><a name="l03894"></a><span class="lineno"> 3894</span>  }</div> |
| <div class="line"><a name="l03895"></a><span class="lineno"> 3895</span> }</div> |
| <div class="line"><a name="l03896"></a><span class="lineno"> 3896</span>  </div> |
| <div class="line"><a name="l03897"></a><span class="lineno"><a class="line" href="structarmnn_1_1_reduce_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3897</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_reduce_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ReduceQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03898"></a><span class="lineno"> 3898</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03899"></a><span class="lineno"> 3899</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"ReduceQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03900"></a><span class="lineno"> 3900</span>  </div> |
| <div class="line"><a name="l03901"></a><span class="lineno"> 3901</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03902"></a><span class="lineno"> 3902</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l03903"></a><span class="lineno"> 3903</span>  </div> |
| <div class="line"><a name="l03904"></a><span class="lineno"> 3904</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03905"></a><span class="lineno"> 3905</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l03906"></a><span class="lineno"> 3906</span>  </div> |
| <div class="line"><a name="l03907"></a><span class="lineno"> 3907</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03908"></a><span class="lineno"> 3908</span>  {</div> |
| <div class="line"><a name="l03909"></a><span class="lineno"> 3909</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l03910"></a><span class="lineno"> 3910</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l03911"></a><span class="lineno"> 3911</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03912"></a><span class="lineno"> 3912</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l03913"></a><span class="lineno"> 3913</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l03914"></a><span class="lineno"> 3914</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l03915"></a><span class="lineno"> 3915</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l03916"></a><span class="lineno"> 3916</span>  };</div> |
| <div class="line"><a name="l03917"></a><span class="lineno"> 3917</span>  </div> |
| <div class="line"><a name="l03918"></a><span class="lineno"> 3918</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03919"></a><span class="lineno"> 3919</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div> |
| <div class="line"><a name="l03920"></a><span class="lineno"> 3920</span> }</div> |
| <div class="line"><a name="l03921"></a><span class="lineno"> 3921</span>  </div> |
| <div class="line"><a name="l03922"></a><span class="lineno"><a class="line" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 3922</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">UnidirectionalSequenceLstmQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l03923"></a><span class="lineno"> 3923</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l03924"></a><span class="lineno"> 3924</span>  <span class="comment">// Modified from LstmQueueDescriptor::Validate to support UnidirectionalSequenceLstm</span></div> |
| <div class="line"><a name="l03925"></a><span class="lineno"> 3925</span>  </div> |
| <div class="line"><a name="l03926"></a><span class="lineno"> 3926</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"UnidirectionalSequenceLstmQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l03927"></a><span class="lineno"> 3927</span>  </div> |
| <div class="line"><a name="l03928"></a><span class="lineno"> 3928</span>  <span class="comment">// check dimensions of all inputs and outputs</span></div> |
| <div class="line"><a name="l03929"></a><span class="lineno"> 3929</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != 3)</div> |
| <div class="line"><a name="l03930"></a><span class="lineno"> 3930</span>  {</div> |
| <div class="line"><a name="l03931"></a><span class="lineno"> 3931</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid number of inputs."</span>);</div> |
| <div class="line"><a name="l03932"></a><span class="lineno"> 3932</span>  }</div> |
| <div class="line"><a name="l03933"></a><span class="lineno"> 3933</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != 3)</div> |
| <div class="line"><a name="l03934"></a><span class="lineno"> 3934</span>  {</div> |
| <div class="line"><a name="l03935"></a><span class="lineno"> 3935</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid number of outputs."</span>);</div> |
| <div class="line"><a name="l03936"></a><span class="lineno"> 3936</span>  }</div> |
| <div class="line"><a name="l03937"></a><span class="lineno"> 3937</span>  </div> |
| <div class="line"><a name="l03938"></a><span class="lineno"> 3938</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l03939"></a><span class="lineno"> 3939</span>  {</div> |
| <div class="line"><a name="l03940"></a><span class="lineno"> 3940</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l03941"></a><span class="lineno"> 3941</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a></div> |
| <div class="line"><a name="l03942"></a><span class="lineno"> 3942</span>  };</div> |
| <div class="line"><a name="l03943"></a><span class="lineno"> 3943</span>  </div> |
| <div class="line"><a name="l03944"></a><span class="lineno"> 3944</span>  <span class="comment">// check for supported type of one input and match them with all the other input and output</span></div> |
| <div class="line"><a name="l03945"></a><span class="lineno"> 3945</span>  ValidateDataTypes(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l03946"></a><span class="lineno"> 3946</span>  </div> |
| <div class="line"><a name="l03947"></a><span class="lineno"> 3947</span>  <span class="comment">// Making sure clipping parameters have valid values.</span></div> |
| <div class="line"><a name="l03948"></a><span class="lineno"> 3948</span>  <span class="comment">// == 0 means no clipping</span></div> |
| <div class="line"><a name="l03949"></a><span class="lineno"> 3949</span>  <span class="comment">// > 0 means clipping</span></div> |
| <div class="line"><a name="l03950"></a><span class="lineno"> 3950</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> < 0.0f)</div> |
| <div class="line"><a name="l03951"></a><span class="lineno"> 3951</span>  {</div> |
| <div class="line"><a name="l03952"></a><span class="lineno"> 3952</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": negative cell clipping threshold is invalid"</span>);</div> |
| <div class="line"><a name="l03953"></a><span class="lineno"> 3953</span>  }</div> |
| <div class="line"><a name="l03954"></a><span class="lineno"> 3954</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> < 0.0f)</div> |
| <div class="line"><a name="l03955"></a><span class="lineno"> 3955</span>  {</div> |
| <div class="line"><a name="l03956"></a><span class="lineno"> 3956</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": negative projection clipping threshold is invalid"</span>);</div> |
| <div class="line"><a name="l03957"></a><span class="lineno"> 3957</span>  }</div> |
| <div class="line"><a name="l03958"></a><span class="lineno"> 3958</span>  </div> |
| <div class="line"><a name="l03959"></a><span class="lineno"> 3959</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchIndx = 0;</div> |
| <div class="line"><a name="l03960"></a><span class="lineno"> 3960</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndx = 1;</div> |
| <div class="line"><a name="l03961"></a><span class="lineno"> 3961</span>  uint32_t timeStep = 1;</div> |
| <div class="line"><a name="l03962"></a><span class="lineno"> 3962</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> timeIndx = 1;</div> |
| <div class="line"><a name="l03963"></a><span class="lineno"> 3963</span>  inputIndx = 2;</div> |
| <div class="line"><a name="l03964"></a><span class="lineno"> 3964</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>)</div> |
| <div class="line"><a name="l03965"></a><span class="lineno"> 3965</span>  {</div> |
| <div class="line"><a name="l03966"></a><span class="lineno"> 3966</span>  batchIndx = 1;</div> |
| <div class="line"><a name="l03967"></a><span class="lineno"> 3967</span>  timeIndx = 0;</div> |
| <div class="line"><a name="l03968"></a><span class="lineno"> 3968</span>  </div> |
| <div class="line"><a name="l03969"></a><span class="lineno"> 3969</span>  }</div> |
| <div class="line"><a name="l03970"></a><span class="lineno"> 3970</span>  timeStep = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[timeIndx];</div> |
| <div class="line"><a name="l03971"></a><span class="lineno"> 3971</span>  </div> |
| <div class="line"><a name="l03972"></a><span class="lineno"> 3972</span>  <span class="comment">// Inferring batch size, number of outputs and number of cells from the inputs.</span></div> |
| <div class="line"><a name="l03973"></a><span class="lineno"> 3973</span>  <span class="keyword">const</span> uint32_t n_input = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[inputIndx];</div> |
| <div class="line"><a name="l03974"></a><span class="lineno"> 3974</span>  <span class="keyword">const</span> uint32_t n_batch = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[batchIndx];</div> |
| <div class="line"><a name="l03975"></a><span class="lineno"> 3975</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03976"></a><span class="lineno"> 3976</span>  <span class="keyword">const</span> uint32_t n_cell = <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[0];</div> |
| <div class="line"><a name="l03977"></a><span class="lineno"> 3977</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToOutputWeights"</span>);</div> |
| <div class="line"><a name="l03978"></a><span class="lineno"> 3978</span>  <span class="keyword">const</span> uint32_t n_output = <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[1];</div> |
| <div class="line"><a name="l03979"></a><span class="lineno"> 3979</span>  </div> |
| <div class="line"><a name="l03980"></a><span class="lineno"> 3980</span>  <span class="comment">// input tensor</span></div> |
| <div class="line"><a name="l03981"></a><span class="lineno"> 3981</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], 3, (timeStep * n_batch * n_input),</div> |
| <div class="line"><a name="l03982"></a><span class="lineno"> 3982</span>  descriptorName + <span class="stringliteral">" input_0"</span>);</div> |
| <div class="line"><a name="l03983"></a><span class="lineno"> 3983</span>  <span class="comment">// outputStateInTensor</span></div> |
| <div class="line"><a name="l03984"></a><span class="lineno"> 3984</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1], 2, (n_batch * n_output),</div> |
| <div class="line"><a name="l03985"></a><span class="lineno"> 3985</span>  descriptorName + <span class="stringliteral">" input_1"</span>);</div> |
| <div class="line"><a name="l03986"></a><span class="lineno"> 3986</span>  <span class="comment">// outputStateInTensor</span></div> |
| <div class="line"><a name="l03987"></a><span class="lineno"> 3987</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2], 2, (n_batch * n_cell),</div> |
| <div class="line"><a name="l03988"></a><span class="lineno"> 3988</span>  descriptorName + <span class="stringliteral">" input_2"</span>);</div> |
| <div class="line"><a name="l03989"></a><span class="lineno"> 3989</span>  </div> |
| <div class="line"><a name="l03990"></a><span class="lineno"> 3990</span>  <span class="comment">// outputTensor</span></div> |
| <div class="line"><a name="l03991"></a><span class="lineno"> 3991</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[2], 3, (timeStep * n_batch * n_output),</div> |
| <div class="line"><a name="l03992"></a><span class="lineno"> 3992</span>  descriptorName + <span class="stringliteral">" output_0"</span>);</div> |
| <div class="line"><a name="l03993"></a><span class="lineno"> 3993</span>  </div> |
| <div class="line"><a name="l03994"></a><span class="lineno"> 3994</span>  <span class="comment">// check that dimensions of inputs/outputs and QueueDescriptor data match with each other</span></div> |
| <div class="line"><a name="l03995"></a><span class="lineno"> 3995</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> )</div> |
| <div class="line"><a name="l03996"></a><span class="lineno"> 3996</span>  {</div> |
| <div class="line"><a name="l03997"></a><span class="lineno"> 3997</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l03998"></a><span class="lineno"> 3998</span>  (n_cell * n_input), <span class="stringliteral">"InputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l03999"></a><span class="lineno"> 3999</span>  }</div> |
| <div class="line"><a name="l04000"></a><span class="lineno"> 4000</span>  </div> |
| <div class="line"><a name="l04001"></a><span class="lineno"> 4001</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l04002"></a><span class="lineno"> 4002</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l04003"></a><span class="lineno"> 4003</span>  (n_cell * n_input), <span class="stringliteral">"InputToForgetWeights"</span>);</div> |
| <div class="line"><a name="l04004"></a><span class="lineno"> 4004</span>  </div> |
| <div class="line"><a name="l04005"></a><span class="lineno"> 4005</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l04006"></a><span class="lineno"> 4006</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l04007"></a><span class="lineno"> 4007</span>  (n_cell * n_input), <span class="stringliteral">"InputToCellWeights"</span>);</div> |
| <div class="line"><a name="l04008"></a><span class="lineno"> 4008</span>  </div> |
| <div class="line"><a name="l04009"></a><span class="lineno"> 4009</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> )</div> |
| <div class="line"><a name="l04010"></a><span class="lineno"> 4010</span>  {</div> |
| <div class="line"><a name="l04011"></a><span class="lineno"> 4011</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l04012"></a><span class="lineno"> 4012</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToInputWeights"</span>);</div> |
| <div class="line"><a name="l04013"></a><span class="lineno"> 4013</span>  }</div> |
| <div class="line"><a name="l04014"></a><span class="lineno"> 4014</span>  </div> |
| <div class="line"><a name="l04015"></a><span class="lineno"> 4015</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l04016"></a><span class="lineno"> 4016</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l04017"></a><span class="lineno"> 4017</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div> |
| <div class="line"><a name="l04018"></a><span class="lineno"> 4018</span>  </div> |
| <div class="line"><a name="l04019"></a><span class="lineno"> 4019</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l04020"></a><span class="lineno"> 4020</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l04021"></a><span class="lineno"> 4021</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToCellWeights"</span>);</div> |
| <div class="line"><a name="l04022"></a><span class="lineno"> 4022</span>  </div> |
| <div class="line"><a name="l04023"></a><span class="lineno"> 4023</span>  <span class="comment">// Make sure the input-gate's parameters are either both present (regular</span></div> |
| <div class="line"><a name="l04024"></a><span class="lineno"> 4024</span>  <span class="comment">// LSTM) or not at all (CIFG-LSTM). And CifgEnable is set accordingly.</span></div> |
| <div class="line"><a name="l04025"></a><span class="lineno"> 4025</span>  <span class="keywordtype">bool</span> cifg_weights_all_or_none = ((<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> && <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> &&</div> |
| <div class="line"><a name="l04026"></a><span class="lineno"> 4026</span>  !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) ||</div> |
| <div class="line"><a name="l04027"></a><span class="lineno"> 4027</span>  (!<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> && !<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> &&</div> |
| <div class="line"><a name="l04028"></a><span class="lineno"> 4028</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>));</div> |
| <div class="line"><a name="l04029"></a><span class="lineno"> 4029</span>  <span class="keywordflow">if</span> (!cifg_weights_all_or_none)</div> |
| <div class="line"><a name="l04030"></a><span class="lineno"> 4030</span>  {</div> |
| <div class="line"><a name="l04031"></a><span class="lineno"> 4031</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input-Gate's parameters InputToInputWeights and "</span></div> |
| <div class="line"><a name="l04032"></a><span class="lineno"> 4032</span>  <span class="stringliteral">"RecurrentToInputWeights must either both be present (regular LSTM) "</span></div> |
| <div class="line"><a name="l04033"></a><span class="lineno"> 4033</span>  <span class="stringliteral">"or both not present (CIFG-LSTM). In addition CifgEnable must be set "</span></div> |
| <div class="line"><a name="l04034"></a><span class="lineno"> 4034</span>  <span class="stringliteral">"accordingly."</span>);</div> |
| <div class="line"><a name="l04035"></a><span class="lineno"> 4035</span>  }</div> |
| <div class="line"><a name="l04036"></a><span class="lineno"> 4036</span>  </div> |
| <div class="line"><a name="l04037"></a><span class="lineno"> 4037</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> )</div> |
| <div class="line"><a name="l04038"></a><span class="lineno"> 4038</span>  {</div> |
| <div class="line"><a name="l04039"></a><span class="lineno"> 4039</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l04040"></a><span class="lineno"> 4040</span>  n_cell, <span class="stringliteral">"CellToInputWeights"</span>);</div> |
| <div class="line"><a name="l04041"></a><span class="lineno"> 4041</span>  }</div> |
| <div class="line"><a name="l04042"></a><span class="lineno"> 4042</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a> )</div> |
| <div class="line"><a name="l04043"></a><span class="lineno"> 4043</span>  {</div> |
| <div class="line"><a name="l04044"></a><span class="lineno"> 4044</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l04045"></a><span class="lineno"> 4045</span>  n_cell, <span class="stringliteral">"CellToForgetWeights"</span>);</div> |
| <div class="line"><a name="l04046"></a><span class="lineno"> 4046</span>  }</div> |
| <div class="line"><a name="l04047"></a><span class="lineno"> 4047</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> )</div> |
| <div class="line"><a name="l04048"></a><span class="lineno"> 4048</span>  {</div> |
| <div class="line"><a name="l04049"></a><span class="lineno"> 4049</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l04050"></a><span class="lineno"> 4050</span>  n_cell, <span class="stringliteral">"CellToOutputWeights"</span>);</div> |
| <div class="line"><a name="l04051"></a><span class="lineno"> 4051</span>  }</div> |
| <div class="line"><a name="l04052"></a><span class="lineno"> 4052</span>  </div> |
| <div class="line"><a name="l04053"></a><span class="lineno"> 4053</span>  <span class="comment">// Making sure the peephole weights are there all or none. And PeepholeEnable is set accordingly.</span></div> |
| <div class="line"><a name="l04054"></a><span class="lineno"> 4054</span>  <span class="keywordtype">bool</span> peephole_weights_all_or_none =</div> |
| <div class="line"><a name="l04055"></a><span class="lineno"> 4055</span>  (((<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) && <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a></div> |
| <div class="line"><a name="l04056"></a><span class="lineno"> 4056</span>  && <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div> |
| <div class="line"><a name="l04057"></a><span class="lineno"> 4057</span>  || ( !<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">m_CellToInputWeights</a> && !<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">m_CellToForgetWeights</a></div> |
| <div class="line"><a name="l04058"></a><span class="lineno"> 4058</span>  && !<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">m_CellToOutputWeights</a> && !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>));</div> |
| <div class="line"><a name="l04059"></a><span class="lineno"> 4059</span>  <span class="keywordflow">if</span> (!peephole_weights_all_or_none)</div> |
| <div class="line"><a name="l04060"></a><span class="lineno"> 4060</span>  {</div> |
| <div class="line"><a name="l04061"></a><span class="lineno"> 4061</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid combination of peephole parameters."</span>);</div> |
| <div class="line"><a name="l04062"></a><span class="lineno"> 4062</span>  }</div> |
| <div class="line"><a name="l04063"></a><span class="lineno"> 4063</span>  </div> |
| <div class="line"><a name="l04064"></a><span class="lineno"> 4064</span>  <span class="comment">// Make sure the input gate bias is present only when not a CIFG-LSTM.</span></div> |
| <div class="line"><a name="l04065"></a><span class="lineno"> 4065</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l04066"></a><span class="lineno"> 4066</span>  {</div> |
| <div class="line"><a name="l04067"></a><span class="lineno"> 4067</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>)</div> |
| <div class="line"><a name="l04068"></a><span class="lineno"> 4068</span>  {</div> |
| <div class="line"><a name="l04069"></a><span class="lineno"> 4069</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": InputGateBias is present and CIFG-LSTM is enabled."</span>);</div> |
| <div class="line"><a name="l04070"></a><span class="lineno"> 4070</span>  }</div> |
| <div class="line"><a name="l04071"></a><span class="lineno"> 4071</span>  }</div> |
| <div class="line"><a name="l04072"></a><span class="lineno"> 4072</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l04073"></a><span class="lineno"> 4073</span>  {</div> |
| <div class="line"><a name="l04074"></a><span class="lineno"> 4074</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>)</div> |
| <div class="line"><a name="l04075"></a><span class="lineno"> 4075</span>  {</div> |
| <div class="line"><a name="l04076"></a><span class="lineno"> 4076</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": If CIFG-LSTM is disabled InputGateBias "</span></div> |
| <div class="line"><a name="l04077"></a><span class="lineno"> 4077</span>  <span class="stringliteral">"must be present."</span>);</div> |
| <div class="line"><a name="l04078"></a><span class="lineno"> 4078</span>  }</div> |
| <div class="line"><a name="l04079"></a><span class="lineno"> 4079</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div> |
| <div class="line"><a name="l04080"></a><span class="lineno"> 4080</span>  n_cell, <span class="stringliteral">"InputGateBias"</span>);</div> |
| <div class="line"><a name="l04081"></a><span class="lineno"> 4081</span>  }</div> |
| <div class="line"><a name="l04082"></a><span class="lineno"> 4082</span>  </div> |
| <div class="line"><a name="l04083"></a><span class="lineno"> 4083</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l04084"></a><span class="lineno"> 4084</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetGateBias"</span>);</div> |
| <div class="line"><a name="l04085"></a><span class="lineno"> 4085</span>  </div> |
| <div class="line"><a name="l04086"></a><span class="lineno"> 4086</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"CellBias"</span>);</div> |
| <div class="line"><a name="l04087"></a><span class="lineno"> 4087</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellBias"</span>);</div> |
| <div class="line"><a name="l04088"></a><span class="lineno"> 4088</span>  </div> |
| <div class="line"><a name="l04089"></a><span class="lineno"> 4089</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"OutputGateBias"</span>);</div> |
| <div class="line"><a name="l04090"></a><span class="lineno"> 4090</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputGateBias"</span>);</div> |
| <div class="line"><a name="l04091"></a><span class="lineno"> 4091</span>  </div> |
| <div class="line"><a name="l04092"></a><span class="lineno"> 4092</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>)</div> |
| <div class="line"><a name="l04093"></a><span class="lineno"> 4093</span>  {</div> |
| <div class="line"><a name="l04094"></a><span class="lineno"> 4094</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div> |
| <div class="line"><a name="l04095"></a><span class="lineno"> 4095</span>  (n_cell * n_output), <span class="stringliteral">"ProjectionWeights"</span>);</div> |
| <div class="line"><a name="l04096"></a><span class="lineno"> 4096</span>  }</div> |
| <div class="line"><a name="l04097"></a><span class="lineno"> 4097</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>)</div> |
| <div class="line"><a name="l04098"></a><span class="lineno"> 4098</span>  {</div> |
| <div class="line"><a name="l04099"></a><span class="lineno"> 4099</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_output, <span class="stringliteral">"ProjectionBias"</span>);</div> |
| <div class="line"><a name="l04100"></a><span class="lineno"> 4100</span>  }</div> |
| <div class="line"><a name="l04101"></a><span class="lineno"> 4101</span>  </div> |
| <div class="line"><a name="l04102"></a><span class="lineno"> 4102</span>  <span class="comment">// Making sure the projection tensors are consistent:</span></div> |
| <div class="line"><a name="l04103"></a><span class="lineno"> 4103</span>  <span class="comment">// 1) If projection weight is not present, then projection bias should not be</span></div> |
| <div class="line"><a name="l04104"></a><span class="lineno"> 4104</span>  <span class="comment">// present.</span></div> |
| <div class="line"><a name="l04105"></a><span class="lineno"> 4105</span>  <span class="comment">// 2) If projection weight is present, then projection bias is optional.</span></div> |
| <div class="line"><a name="l04106"></a><span class="lineno"> 4106</span>  <span class="keywordtype">bool</span> projecton_tensors_consistent = ((!<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> &&</div> |
| <div class="line"><a name="l04107"></a><span class="lineno"> 4107</span>  !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l04108"></a><span class="lineno"> 4108</span>  || (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> &&</div> |
| <div class="line"><a name="l04109"></a><span class="lineno"> 4109</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div> |
| <div class="line"><a name="l04110"></a><span class="lineno"> 4110</span>  || (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">m_ProjectionWeights</a> && <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">m_ProjectionBias</a> &&</div> |
| <div class="line"><a name="l04111"></a><span class="lineno"> 4111</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>));</div> |
| <div class="line"><a name="l04112"></a><span class="lineno"> 4112</span>  <span class="keywordflow">if</span> (!projecton_tensors_consistent)</div> |
| <div class="line"><a name="l04113"></a><span class="lineno"> 4113</span>  {</div> |
| <div class="line"><a name="l04114"></a><span class="lineno"> 4114</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Projection tensors are inconsistent."</span>);</div> |
| <div class="line"><a name="l04115"></a><span class="lineno"> 4115</span>  }</div> |
| <div class="line"><a name="l04116"></a><span class="lineno"> 4116</span>  </div> |
| <div class="line"><a name="l04117"></a><span class="lineno"> 4117</span>  <span class="comment">// The four layer normalization weights either all have values or none of them have values. Additionally, if</span></div> |
| <div class="line"><a name="l04118"></a><span class="lineno"> 4118</span>  <span class="comment">// CIFG is used, input layer normalization weights tensor is omitted and the other layer normalization weights</span></div> |
| <div class="line"><a name="l04119"></a><span class="lineno"> 4119</span>  <span class="comment">// either all have values or none of them have values. Layer normalization is used when the values of all the</span></div> |
| <div class="line"><a name="l04120"></a><span class="lineno"> 4120</span>  <span class="comment">// layer normalization weights are present</span></div> |
| <div class="line"><a name="l04121"></a><span class="lineno"> 4121</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l04122"></a><span class="lineno"> 4122</span>  {</div> |
| <div class="line"><a name="l04123"></a><span class="lineno"> 4123</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"InputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04124"></a><span class="lineno"> 4124</span>  }</div> |
| <div class="line"><a name="l04125"></a><span class="lineno"> 4125</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>)</div> |
| <div class="line"><a name="l04126"></a><span class="lineno"> 4126</span>  {</div> |
| <div class="line"><a name="l04127"></a><span class="lineno"> 4127</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04128"></a><span class="lineno"> 4128</span>  }</div> |
| <div class="line"><a name="l04129"></a><span class="lineno"> 4129</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>)</div> |
| <div class="line"><a name="l04130"></a><span class="lineno"> 4130</span>  {</div> |
| <div class="line"><a name="l04131"></a><span class="lineno"> 4131</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04132"></a><span class="lineno"> 4132</span>  }</div> |
| <div class="line"><a name="l04133"></a><span class="lineno"> 4133</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l04134"></a><span class="lineno"> 4134</span>  {</div> |
| <div class="line"><a name="l04135"></a><span class="lineno"> 4135</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04136"></a><span class="lineno"> 4136</span>  }</div> |
| <div class="line"><a name="l04137"></a><span class="lineno"> 4137</span>  </div> |
| <div class="line"><a name="l04138"></a><span class="lineno"> 4138</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div> |
| <div class="line"><a name="l04139"></a><span class="lineno"> 4139</span>  {</div> |
| <div class="line"><a name="l04140"></a><span class="lineno"> 4140</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div> |
| <div class="line"><a name="l04141"></a><span class="lineno"> 4141</span>  {</div> |
| <div class="line"><a name="l04142"></a><span class="lineno"> 4142</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l04143"></a><span class="lineno"> 4143</span>  {</div> |
| <div class="line"><a name="l04144"></a><span class="lineno"> 4144</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Layer normalisation is enabled and CIFG-LSTM is "</span></div> |
| <div class="line"><a name="l04145"></a><span class="lineno"> 4145</span>  <span class="stringliteral">"disabled but InputLayerNormWeights are not present"</span>);</div> |
| <div class="line"><a name="l04146"></a><span class="lineno"> 4146</span>  }</div> |
| <div class="line"><a name="l04147"></a><span class="lineno"> 4147</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l04148"></a><span class="lineno"> 4148</span>  1, n_cell, <span class="stringliteral">"InputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04149"></a><span class="lineno"> 4149</span>  }</div> |
| <div class="line"><a name="l04150"></a><span class="lineno"> 4150</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a>)</div> |
| <div class="line"><a name="l04151"></a><span class="lineno"> 4151</span>  {</div> |
| <div class="line"><a name="l04152"></a><span class="lineno"> 4152</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">":InputLayerNormWeights are present while CIFG is "</span></div> |
| <div class="line"><a name="l04153"></a><span class="lineno"> 4153</span>  <span class="stringliteral">"enabled"</span>);</div> |
| <div class="line"><a name="l04154"></a><span class="lineno"> 4154</span>  }</div> |
| <div class="line"><a name="l04155"></a><span class="lineno"> 4155</span>  </div> |
| <div class="line"><a name="l04156"></a><span class="lineno"> 4156</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div> |
| <div class="line"><a name="l04157"></a><span class="lineno"> 4157</span>  <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04158"></a><span class="lineno"> 4158</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04159"></a><span class="lineno"> 4159</span>  </div> |
| <div class="line"><a name="l04160"></a><span class="lineno"> 4160</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div> |
| <div class="line"><a name="l04161"></a><span class="lineno"> 4161</span>  <span class="stringliteral">"OutputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04162"></a><span class="lineno"> 4162</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04163"></a><span class="lineno"> 4163</span>  </div> |
| <div class="line"><a name="l04164"></a><span class="lineno"> 4164</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div> |
| <div class="line"><a name="l04165"></a><span class="lineno"> 4165</span>  <span class="stringliteral">"CellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04166"></a><span class="lineno"> 4166</span>  <a class="code" href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">ValidateTensorNumDimNumElem</a>(<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellLayerNormWeights"</span>);</div> |
| <div class="line"><a name="l04167"></a><span class="lineno"> 4167</span>  }</div> |
| <div class="line"><a name="l04168"></a><span class="lineno"> 4168</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">m_InputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">m_ForgetLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">m_OutputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">m_CellLayerNormWeights</a>)</div> |
| <div class="line"><a name="l04169"></a><span class="lineno"> 4169</span>  {</div> |
| <div class="line"><a name="l04170"></a><span class="lineno"> 4170</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Layer normalisation is disabled but one or more layer "</span></div> |
| <div class="line"><a name="l04171"></a><span class="lineno"> 4171</span>  <span class="stringliteral">"normalisation weights are present."</span>);</div> |
| <div class="line"><a name="l04172"></a><span class="lineno"> 4172</span>  }</div> |
| <div class="line"><a name="l04173"></a><span class="lineno"> 4173</span> }</div> |
| <div class="line"><a name="l04174"></a><span class="lineno"> 4174</span>  </div> |
| <div class="line"><a name="l04175"></a><span class="lineno"><a class="line" href="structarmnn_1_1_batch_mat_mul_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 4175</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">BatchMatMulQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l04176"></a><span class="lineno"> 4176</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l04177"></a><span class="lineno"> 4177</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"BatchMatMulDescriptor"</span>};</div> |
| <div class="line"><a name="l04178"></a><span class="lineno"> 4178</span>  </div> |
| <div class="line"><a name="l04179"></a><span class="lineno"> 4179</span>  ValidateNumInputs(workloadInfo, descriptorName, 2);</div> |
| <div class="line"><a name="l04180"></a><span class="lineno"> 4180</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l04181"></a><span class="lineno"> 4181</span>  </div> |
| <div class="line"><a name="l04182"></a><span class="lineno"> 4182</span>  <span class="comment">// Inputs must be: both 2D+</span></div> |
| <div class="line"><a name="l04183"></a><span class="lineno"> 4183</span>  <span class="comment">// For inputs X and Y whose dimensions to be multiplied are (M,N) and (I,J) respectively,</span></div> |
| <div class="line"><a name="l04184"></a><span class="lineno"> 4184</span>  <span class="comment">// axes N and I must be the same size</span></div> |
| <div class="line"><a name="l04185"></a><span class="lineno"> 4185</span>  </div> |
| <div class="line"><a name="l04186"></a><span class="lineno"> 4186</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inputXInfoBeforeParams = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04187"></a><span class="lineno"> 4187</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inputYInfoBeforeParams = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l04188"></a><span class="lineno"> 4188</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& outputInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04189"></a><span class="lineno"> 4189</span>  <span class="comment">// Output info has already been inferred</span></div> |
| <div class="line"><a name="l04190"></a><span class="lineno"> 4190</span>  </div> |
| <div class="line"><a name="l04191"></a><span class="lineno"> 4191</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l04192"></a><span class="lineno"> 4192</span>  {</div> |
| <div class="line"><a name="l04193"></a><span class="lineno"> 4193</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div> |
| <div class="line"><a name="l04194"></a><span class="lineno"> 4194</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l04195"></a><span class="lineno"> 4195</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l04196"></a><span class="lineno"> 4196</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l04197"></a><span class="lineno"> 4197</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l04198"></a><span class="lineno"> 4198</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div> |
| <div class="line"><a name="l04199"></a><span class="lineno"> 4199</span>  };</div> |
| <div class="line"><a name="l04200"></a><span class="lineno"> 4200</span>  </div> |
| <div class="line"><a name="l04201"></a><span class="lineno"> 4201</span>  ValidateDataTypes(inputXInfoBeforeParams, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04202"></a><span class="lineno"> 4202</span>  ValidateDataTypes(inputYInfoBeforeParams, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04203"></a><span class="lineno"> 4203</span>  ValidateDataTypes(outputInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04204"></a><span class="lineno"> 4204</span>  </div> |
| <div class="line"><a name="l04205"></a><span class="lineno"> 4205</span>  <span class="keywordflow">if</span> ((inputXInfoBeforeParams.GetNumDimensions() < 2) ||</div> |
| <div class="line"><a name="l04206"></a><span class="lineno"> 4206</span>  (inputYInfoBeforeParams.GetNumDimensions() < 2))</div> |
| <div class="line"><a name="l04207"></a><span class="lineno"> 4207</span>  {</div> |
| <div class="line"><a name="l04208"></a><span class="lineno"> 4208</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input tensors are not 2D or greater."</span>);</div> |
| <div class="line"><a name="l04209"></a><span class="lineno"> 4209</span>  }</div> |
| <div class="line"><a name="l04210"></a><span class="lineno"> 4210</span>  </div> |
| <div class="line"><a name="l04211"></a><span class="lineno"> 4211</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputXInfoAfterParams;</div> |
| <div class="line"><a name="l04212"></a><span class="lineno"> 4212</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputYInfoAfterParams;</div> |
| <div class="line"><a name="l04213"></a><span class="lineno"> 4213</span>  </div> |
| <div class="line"><a name="l04214"></a><span class="lineno"> 4214</span>  <span class="keywordflow">if</span>((<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a>) ||</div> |
| <div class="line"><a name="l04215"></a><span class="lineno"> 4215</span>  (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a>))</div> |
| <div class="line"><a name="l04216"></a><span class="lineno"> 4216</span>  {</div> |
| <div class="line"><a name="l04217"></a><span class="lineno"> 4217</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04218"></a><span class="lineno"> 4218</span>  <span class="stringliteral">": Invalid descriptor parameters - Transpose and Adjoint "</span></div> |
| <div class="line"><a name="l04219"></a><span class="lineno"> 4219</span>  <span class="stringliteral">"cannot both be true for a given input tensor."</span>);</div> |
| <div class="line"><a name="l04220"></a><span class="lineno"> 4220</span>  }</div> |
| <div class="line"><a name="l04221"></a><span class="lineno"> 4221</span>  <span class="keywordflow">if</span>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#acb441bb8db19bcce78d15cdd8ceb5ea0">m_TransposeX</a>)</div> |
| <div class="line"><a name="l04222"></a><span class="lineno"> 4222</span>  {</div> |
| <div class="line"><a name="l04223"></a><span class="lineno"> 4223</span>  inputXInfoAfterParams = <a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(inputXInfoBeforeParams,</div> |
| <div class="line"><a name="l04224"></a><span class="lineno"> 4224</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a85e74c2aeaf6fc124e9582329a82d72b">BatchMatMulDescriptor::GetPermuteVec</a>(</div> |
| <div class="line"><a name="l04225"></a><span class="lineno"> 4225</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>,</div> |
| <div class="line"><a name="l04226"></a><span class="lineno"> 4226</span>  inputXInfoBeforeParams.GetShape()));</div> |
| <div class="line"><a name="l04227"></a><span class="lineno"> 4227</span>  }</div> |
| <div class="line"><a name="l04228"></a><span class="lineno"> 4228</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a0cf8306be7d301de0f095fff9901a525">m_AdjointX</a>)</div> |
| <div class="line"><a name="l04229"></a><span class="lineno"> 4229</span>  {</div> |
| <div class="line"><a name="l04230"></a><span class="lineno"> 4230</span>  <span class="keyword">auto</span> axesToMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a58a8b597d58396266e06dd2c415154a2">BatchMatMulDescriptor::GetAxesToMul</a>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>,</div> |
| <div class="line"><a name="l04231"></a><span class="lineno"> 4231</span>  inputXInfoBeforeParams.GetShape());</div> |
| <div class="line"><a name="l04232"></a><span class="lineno"> 4232</span>  <span class="keywordflow">if</span>(inputXInfoBeforeParams.GetShape()[axesToMul.first] !=</div> |
| <div class="line"><a name="l04233"></a><span class="lineno"> 4233</span>  inputXInfoBeforeParams.GetShape()[axesToMul.second])</div> |
| <div class="line"><a name="l04234"></a><span class="lineno"> 4234</span>  {</div> |
| <div class="line"><a name="l04235"></a><span class="lineno"> 4235</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04236"></a><span class="lineno"> 4236</span>  <span class="stringliteral">": Adjoint is set to true for input tensor X, but the axes to be adjointed are not square."</span> );</div> |
| <div class="line"><a name="l04237"></a><span class="lineno"> 4237</span>  }</div> |
| <div class="line"><a name="l04238"></a><span class="lineno"> 4238</span>  <span class="comment">// Shape remains the same as it's square</span></div> |
| <div class="line"><a name="l04239"></a><span class="lineno"> 4239</span>  inputXInfoAfterParams = inputXInfoBeforeParams;</div> |
| <div class="line"><a name="l04240"></a><span class="lineno"> 4240</span>  }</div> |
| <div class="line"><a name="l04241"></a><span class="lineno"> 4241</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l04242"></a><span class="lineno"> 4242</span>  {</div> |
| <div class="line"><a name="l04243"></a><span class="lineno"> 4243</span>  inputXInfoAfterParams = inputXInfoBeforeParams;</div> |
| <div class="line"><a name="l04244"></a><span class="lineno"> 4244</span>  }</div> |
| <div class="line"><a name="l04245"></a><span class="lineno"> 4245</span>  </div> |
| <div class="line"><a name="l04246"></a><span class="lineno"> 4246</span>  <span class="keywordflow">if</span>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a112b466e5d2ab9d1887178adbe3afa1c">m_TransposeY</a>)</div> |
| <div class="line"><a name="l04247"></a><span class="lineno"> 4247</span>  {</div> |
| <div class="line"><a name="l04248"></a><span class="lineno"> 4248</span>  inputYInfoAfterParams = <a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(inputYInfoBeforeParams,</div> |
| <div class="line"><a name="l04249"></a><span class="lineno"> 4249</span>  <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a85e74c2aeaf6fc124e9582329a82d72b">BatchMatMulDescriptor::GetPermuteVec</a>(</div> |
| <div class="line"><a name="l04250"></a><span class="lineno"> 4250</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>,</div> |
| <div class="line"><a name="l04251"></a><span class="lineno"> 4251</span>  inputYInfoBeforeParams.GetShape()));</div> |
| <div class="line"><a name="l04252"></a><span class="lineno"> 4252</span>  }</div> |
| <div class="line"><a name="l04253"></a><span class="lineno"> 4253</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#ad945fc98770356dd886a68e98a52e26b">m_AdjointY</a>)</div> |
| <div class="line"><a name="l04254"></a><span class="lineno"> 4254</span>  {</div> |
| <div class="line"><a name="l04255"></a><span class="lineno"> 4255</span>  <span class="keyword">auto</span> axesToMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a58a8b597d58396266e06dd2c415154a2">BatchMatMulDescriptor::GetAxesToMul</a>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>,</div> |
| <div class="line"><a name="l04256"></a><span class="lineno"> 4256</span>  inputYInfoBeforeParams.GetShape());</div> |
| <div class="line"><a name="l04257"></a><span class="lineno"> 4257</span>  <span class="keywordflow">if</span>(inputYInfoBeforeParams.GetShape()[axesToMul.first] !=</div> |
| <div class="line"><a name="l04258"></a><span class="lineno"> 4258</span>  inputYInfoBeforeParams.GetShape()[axesToMul.second])</div> |
| <div class="line"><a name="l04259"></a><span class="lineno"> 4259</span>  {</div> |
| <div class="line"><a name="l04260"></a><span class="lineno"> 4260</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04261"></a><span class="lineno"> 4261</span>  <span class="stringliteral">": Adjoint is set to true for input tensor Y, but the axes to be adjointed are not square."</span> );</div> |
| <div class="line"><a name="l04262"></a><span class="lineno"> 4262</span>  }</div> |
| <div class="line"><a name="l04263"></a><span class="lineno"> 4263</span>  <span class="comment">// Shape remains the same as it's square</span></div> |
| <div class="line"><a name="l04264"></a><span class="lineno"> 4264</span>  inputYInfoAfterParams = inputYInfoBeforeParams;</div> |
| <div class="line"><a name="l04265"></a><span class="lineno"> 4265</span>  }</div> |
| <div class="line"><a name="l04266"></a><span class="lineno"> 4266</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l04267"></a><span class="lineno"> 4267</span>  {</div> |
| <div class="line"><a name="l04268"></a><span class="lineno"> 4268</span>  inputYInfoAfterParams = inputYInfoBeforeParams;</div> |
| <div class="line"><a name="l04269"></a><span class="lineno"> 4269</span>  }</div> |
| <div class="line"><a name="l04270"></a><span class="lineno"> 4270</span>  </div> |
| <div class="line"><a name="l04271"></a><span class="lineno"> 4271</span>  <span class="keywordflow">switch</span>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>)</div> |
| <div class="line"><a name="l04272"></a><span class="lineno"> 4272</span>  {</div> |
| <div class="line"><a name="l04273"></a><span class="lineno"> 4273</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">DataLayout::NCDHW</a>:</div> |
| <div class="line"><a name="l04274"></a><span class="lineno"> 4274</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">DataLayout::NDHWC</a>:</div> |
| <div class="line"><a name="l04275"></a><span class="lineno"> 4275</span>  <span class="keywordflow">if</span>(inputXInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() < 3)</div> |
| <div class="line"><a name="l04276"></a><span class="lineno"> 4276</span>  {</div> |
| <div class="line"><a name="l04277"></a><span class="lineno"> 4277</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04278"></a><span class="lineno"> 4278</span>  <span class="stringliteral">": Input tensor X does not have the correct "</span></div> |
| <div class="line"><a name="l04279"></a><span class="lineno"> 4279</span>  <span class="stringliteral">"number of dimensions for the Data Layout that it has been assigned."</span>);</div> |
| <div class="line"><a name="l04280"></a><span class="lineno"> 4280</span>  }</div> |
| <div class="line"><a name="l04281"></a><span class="lineno"> 4281</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l04282"></a><span class="lineno"> 4282</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>:</div> |
| <div class="line"><a name="l04283"></a><span class="lineno"> 4283</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>:</div> |
| <div class="line"><a name="l04284"></a><span class="lineno"> 4284</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l04285"></a><span class="lineno"> 4285</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l04286"></a><span class="lineno"> 4286</span>  }</div> |
| <div class="line"><a name="l04287"></a><span class="lineno"> 4287</span>  </div> |
| <div class="line"><a name="l04288"></a><span class="lineno"> 4288</span>  <span class="keywordflow">switch</span>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>)</div> |
| <div class="line"><a name="l04289"></a><span class="lineno"> 4289</span>  {</div> |
| <div class="line"><a name="l04290"></a><span class="lineno"> 4290</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">DataLayout::NCDHW</a>:</div> |
| <div class="line"><a name="l04291"></a><span class="lineno"> 4291</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">DataLayout::NDHWC</a>:</div> |
| <div class="line"><a name="l04292"></a><span class="lineno"> 4292</span>  <span class="keywordflow">if</span>(inputYInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() < 3)</div> |
| <div class="line"><a name="l04293"></a><span class="lineno"> 4293</span>  {</div> |
| <div class="line"><a name="l04294"></a><span class="lineno"> 4294</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04295"></a><span class="lineno"> 4295</span>  <span class="stringliteral">": Input tensor Y does not have the correct "</span></div> |
| <div class="line"><a name="l04296"></a><span class="lineno"> 4296</span>  <span class="stringliteral">"number of dimensions for the Data Layout that it has been assigned."</span>);</div> |
| <div class="line"><a name="l04297"></a><span class="lineno"> 4297</span>  }</div> |
| <div class="line"><a name="l04298"></a><span class="lineno"> 4298</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l04299"></a><span class="lineno"> 4299</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>:</div> |
| <div class="line"><a name="l04300"></a><span class="lineno"> 4300</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>:</div> |
| <div class="line"><a name="l04301"></a><span class="lineno"> 4301</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l04302"></a><span class="lineno"> 4302</span>  <span class="keywordflow">break</span>;</div> |
| <div class="line"><a name="l04303"></a><span class="lineno"> 4303</span>  }</div> |
| <div class="line"><a name="l04304"></a><span class="lineno"> 4304</span>  </div> |
| <div class="line"><a name="l04305"></a><span class="lineno"> 4305</span>  <span class="keyword">auto</span> axesXToMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a58a8b597d58396266e06dd2c415154a2">BatchMatMulDescriptor::GetAxesToMul</a>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>,</div> |
| <div class="line"><a name="l04306"></a><span class="lineno"> 4306</span>  inputXInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div> |
| <div class="line"><a name="l04307"></a><span class="lineno"> 4307</span>  <span class="keyword">auto</span> axesYToMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a58a8b597d58396266e06dd2c415154a2">BatchMatMulDescriptor::GetAxesToMul</a>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>,</div> |
| <div class="line"><a name="l04308"></a><span class="lineno"> 4308</span>  inputXInfoBeforeParams.GetShape());</div> |
| <div class="line"><a name="l04309"></a><span class="lineno"> 4309</span>  </div> |
| <div class="line"><a name="l04310"></a><span class="lineno"> 4310</span>  <span class="keywordflow">if</span>(inputXInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[axesXToMul.second]</div> |
| <div class="line"><a name="l04311"></a><span class="lineno"> 4311</span>  != inputYInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[axesYToMul.first])</div> |
| <div class="line"><a name="l04312"></a><span class="lineno"> 4312</span>  {</div> |
| <div class="line"><a name="l04313"></a><span class="lineno"> 4313</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04314"></a><span class="lineno"> 4314</span>  <span class="stringliteral">": The final axis of input tensor X must be the same size as "</span></div> |
| <div class="line"><a name="l04315"></a><span class="lineno"> 4315</span>  <span class="stringliteral">"the second last axis of input tensor Y."</span>);</div> |
| <div class="line"><a name="l04316"></a><span class="lineno"> 4316</span>  }</div> |
| <div class="line"><a name="l04317"></a><span class="lineno"> 4317</span>  </div> |
| <div class="line"><a name="l04318"></a><span class="lineno"> 4318</span>  { <span class="comment">// Separate scope so we don't pollute the rest of the scope with our temp variables</span></div> |
| <div class="line"><a name="l04319"></a><span class="lineno"> 4319</span>  <span class="comment">// e.g. NHWC isnt compatible with NCHW as of now</span></div> |
| <div class="line"><a name="l04320"></a><span class="lineno"> 4320</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> xLayout = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>;</div> |
| <div class="line"><a name="l04321"></a><span class="lineno"> 4321</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> yLayout = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>;</div> |
| <div class="line"><a name="l04322"></a><span class="lineno"> 4322</span>  </div> |
| <div class="line"><a name="l04323"></a><span class="lineno"> 4323</span>  <span class="keywordflow">if</span>(xLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> || xLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">DataLayout::NCDHW</a>)</div> |
| <div class="line"><a name="l04324"></a><span class="lineno"> 4324</span>  {</div> |
| <div class="line"><a name="l04325"></a><span class="lineno"> 4325</span>  <span class="keywordflow">if</span>(yLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> || yLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">DataLayout::NDHWC</a>)</div> |
| <div class="line"><a name="l04326"></a><span class="lineno"> 4326</span>  {</div> |
| <div class="line"><a name="l04327"></a><span class="lineno"> 4327</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04328"></a><span class="lineno"> 4328</span>  <span class="stringliteral">": Invalid input tensor data layout combination."</span>);</div> |
| <div class="line"><a name="l04329"></a><span class="lineno"> 4329</span>  }</div> |
| <div class="line"><a name="l04330"></a><span class="lineno"> 4330</span>  }</div> |
| <div class="line"><a name="l04331"></a><span class="lineno"> 4331</span>  <span class="keywordflow">if</span>(yLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> || yLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">DataLayout::NCDHW</a>)</div> |
| <div class="line"><a name="l04332"></a><span class="lineno"> 4332</span>  {</div> |
| <div class="line"><a name="l04333"></a><span class="lineno"> 4333</span>  <span class="keywordflow">if</span>(xLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a> || xLayout == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">DataLayout::NDHWC</a>)</div> |
| <div class="line"><a name="l04334"></a><span class="lineno"> 4334</span>  {</div> |
| <div class="line"><a name="l04335"></a><span class="lineno"> 4335</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04336"></a><span class="lineno"> 4336</span>  <span class="stringliteral">": Invalid input tensor data layout combination."</span>);</div> |
| <div class="line"><a name="l04337"></a><span class="lineno"> 4337</span>  }</div> |
| <div class="line"><a name="l04338"></a><span class="lineno"> 4338</span>  }</div> |
| <div class="line"><a name="l04339"></a><span class="lineno"> 4339</span>  }</div> |
| <div class="line"><a name="l04340"></a><span class="lineno"> 4340</span>  </div> |
| <div class="line"><a name="l04341"></a><span class="lineno"> 4341</span>  <span class="comment">// Simulate aligning the ends of the matrix dims and prepending 1's to the beginning of the shorter one</span></div> |
| <div class="line"><a name="l04342"></a><span class="lineno"> 4342</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputTensorDimSize = std::max(inputXInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| <div class="line"><a name="l04343"></a><span class="lineno"> 4343</span>  inputYInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> |
| <div class="line"><a name="l04344"></a><span class="lineno"> 4344</span>  <span class="keywordflow">if</span>(outputTensorDimSize-2 > 0)</div> |
| <div class="line"><a name="l04345"></a><span class="lineno"> 4345</span>  {</div> |
| <div class="line"><a name="l04346"></a><span class="lineno"> 4346</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> tiXNotMul = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(outputTensorDimSize-2),</div> |
| <div class="line"><a name="l04347"></a><span class="lineno"> 4347</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div> |
| <div class="line"><a name="l04348"></a><span class="lineno"> 4348</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> tiYNotMul = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(outputTensorDimSize-2),</div> |
| <div class="line"><a name="l04349"></a><span class="lineno"> 4349</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div> |
| <div class="line"><a name="l04350"></a><span class="lineno"> 4350</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> tiOutNotMul = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(outputTensorDimSize-2),</div> |
| <div class="line"><a name="l04351"></a><span class="lineno"> 4351</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div> |
| <div class="line"><a name="l04352"></a><span class="lineno"> 4352</span>  </div> |
| <div class="line"><a name="l04353"></a><span class="lineno"> 4353</span>  <span class="keyword">auto</span> doAxisExtension = [&](std::vector<unsigned int> axisIndices, <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& ti)</div> |
| <div class="line"><a name="l04354"></a><span class="lineno"> 4354</span>  {</div> |
| <div class="line"><a name="l04355"></a><span class="lineno"> 4355</span>  <span class="keyword">auto</span> sizeDiff = (outputTensorDimSize-2) - axisIndices.size();</div> |
| <div class="line"><a name="l04356"></a><span class="lineno"> 4356</span>  </div> |
| <div class="line"><a name="l04357"></a><span class="lineno"> 4357</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < sizeDiff; i++)</div> |
| <div class="line"><a name="l04358"></a><span class="lineno"> 4358</span>  {</div> |
| <div class="line"><a name="l04359"></a><span class="lineno"> 4359</span>  axisIndices.insert(axisIndices.begin(), 1);</div> |
| <div class="line"><a name="l04360"></a><span class="lineno"> 4360</span>  }</div> |
| <div class="line"><a name="l04361"></a><span class="lineno"> 4361</span>  </div> |
| <div class="line"><a name="l04362"></a><span class="lineno"> 4362</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < ti.GetNumDimensions(); i++)</div> |
| <div class="line"><a name="l04363"></a><span class="lineno"> 4363</span>  {</div> |
| <div class="line"><a name="l04364"></a><span class="lineno"> 4364</span>  ti.GetShape()[i] = inputXInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div> |
| <div class="line"><a name="l04365"></a><span class="lineno"> 4365</span>  }</div> |
| <div class="line"><a name="l04366"></a><span class="lineno"> 4366</span>  };</div> |
| <div class="line"><a name="l04367"></a><span class="lineno"> 4367</span>  </div> |
| <div class="line"><a name="l04368"></a><span class="lineno"> 4368</span>  <span class="keyword">auto</span> axesXNotMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a991faafc762a50c3aa7a756117378cc1">BatchMatMulDescriptor::GetAxesNotMul</a>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">m_DataLayoutX</a>,</div> |
| <div class="line"><a name="l04369"></a><span class="lineno"> 4369</span>  inputXInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div> |
| <div class="line"><a name="l04370"></a><span class="lineno"> 4370</span>  <span class="keyword">auto</span> axesYNotMul = <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#a991faafc762a50c3aa7a756117378cc1">BatchMatMulDescriptor::GetAxesNotMul</a>(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">m_DataLayoutY</a>,</div> |
| <div class="line"><a name="l04371"></a><span class="lineno"> 4371</span>  inputYInfoAfterParams.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div> |
| <div class="line"><a name="l04372"></a><span class="lineno"> 4372</span>  </div> |
| <div class="line"><a name="l04373"></a><span class="lineno"> 4373</span>  doAxisExtension(axesXNotMul, tiXNotMul);</div> |
| <div class="line"><a name="l04374"></a><span class="lineno"> 4374</span>  doAxisExtension(axesYNotMul, tiYNotMul);</div> |
| <div class="line"><a name="l04375"></a><span class="lineno"> 4375</span>  </div> |
| <div class="line"><a name="l04376"></a><span class="lineno"> 4376</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < tiOutNotMul.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div> |
| <div class="line"><a name="l04377"></a><span class="lineno"> 4377</span>  {</div> |
| <div class="line"><a name="l04378"></a><span class="lineno"> 4378</span>  tiOutNotMul.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i] = std::max(tiXNotMul.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i],</div> |
| <div class="line"><a name="l04379"></a><span class="lineno"> 4379</span>  tiYNotMul.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i]);</div> |
| <div class="line"><a name="l04380"></a><span class="lineno"> 4380</span>  }</div> |
| <div class="line"><a name="l04381"></a><span class="lineno"> 4381</span>  </div> |
| <div class="line"><a name="l04382"></a><span class="lineno"> 4382</span>  ValidateBroadcastTensorShapesMatch(tiXNotMul,</div> |
| <div class="line"><a name="l04383"></a><span class="lineno"> 4383</span>  tiYNotMul,</div> |
| <div class="line"><a name="l04384"></a><span class="lineno"> 4384</span>  tiOutNotMul,</div> |
| <div class="line"><a name="l04385"></a><span class="lineno"> 4385</span>  descriptorName,</div> |
| <div class="line"><a name="l04386"></a><span class="lineno"> 4386</span>  <span class="stringliteral">"input_X"</span>,</div> |
| <div class="line"><a name="l04387"></a><span class="lineno"> 4387</span>  <span class="stringliteral">"input_Y"</span>);</div> |
| <div class="line"><a name="l04388"></a><span class="lineno"> 4388</span>  }</div> |
| <div class="line"><a name="l04389"></a><span class="lineno"> 4389</span> }</div> |
| <div class="line"><a name="l04390"></a><span class="lineno"> 4390</span>  </div> |
| <div class="line"><a name="l04391"></a><span class="lineno"><a class="line" href="structarmnn_1_1_tile_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 4391</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_tile_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">TileQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l04392"></a><span class="lineno"> 4392</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l04393"></a><span class="lineno"> 4393</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"TileQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l04394"></a><span class="lineno"> 4394</span>  </div> |
| <div class="line"><a name="l04395"></a><span class="lineno"> 4395</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l04396"></a><span class="lineno"> 4396</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l04397"></a><span class="lineno"> 4397</span>  </div> |
| <div class="line"><a name="l04398"></a><span class="lineno"> 4398</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04399"></a><span class="lineno"> 4399</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04400"></a><span class="lineno"> 4400</span>  </div> |
| <div class="line"><a name="l04401"></a><span class="lineno"> 4401</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l04402"></a><span class="lineno"> 4402</span>  {</div> |
| <div class="line"><a name="l04403"></a><span class="lineno"> 4403</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l04404"></a><span class="lineno"> 4404</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l04405"></a><span class="lineno"> 4405</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l04406"></a><span class="lineno"> 4406</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l04407"></a><span class="lineno"> 4407</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l04408"></a><span class="lineno"> 4408</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l04409"></a><span class="lineno"> 4409</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l04410"></a><span class="lineno"> 4410</span>  };</div> |
| <div class="line"><a name="l04411"></a><span class="lineno"> 4411</span>  </div> |
| <div class="line"><a name="l04412"></a><span class="lineno"> 4412</span>  <span class="comment">// Multiples length must be the same as the number of dimensions in input.</span></div> |
| <div class="line"><a name="l04413"></a><span class="lineno"> 4413</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>.size() != inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div> |
| <div class="line"><a name="l04414"></a><span class="lineno"> 4414</span>  {</div> |
| <div class="line"><a name="l04415"></a><span class="lineno"> 4415</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName +</div> |
| <div class="line"><a name="l04416"></a><span class="lineno"> 4416</span>  <span class="stringliteral">": Multiples length is not same as the number of dimensions in Input."</span>);</div> |
| <div class="line"><a name="l04417"></a><span class="lineno"> 4417</span>  }</div> |
| <div class="line"><a name="l04418"></a><span class="lineno"> 4418</span>  </div> |
| <div class="line"><a name="l04419"></a><span class="lineno"> 4419</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04420"></a><span class="lineno"> 4420</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04421"></a><span class="lineno"> 4421</span> }</div> |
| <div class="line"><a name="l04422"></a><span class="lineno"> 4422</span>  </div> |
| <div class="line"><a name="l04423"></a><span class="lineno"><a class="line" href="structarmnn_1_1_broadcast_to_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 4423</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_broadcast_to_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">BroadcastToQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l04424"></a><span class="lineno"> 4424</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l04425"></a><span class="lineno"> 4425</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"BroadcastToQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l04426"></a><span class="lineno"> 4426</span>  </div> |
| <div class="line"><a name="l04427"></a><span class="lineno"> 4427</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l04428"></a><span class="lineno"> 4428</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l04429"></a><span class="lineno"> 4429</span>  </div> |
| <div class="line"><a name="l04430"></a><span class="lineno"> 4430</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04431"></a><span class="lineno"> 4431</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04432"></a><span class="lineno"> 4432</span>  </div> |
| <div class="line"><a name="l04433"></a><span class="lineno"> 4433</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l04434"></a><span class="lineno"> 4434</span>  {</div> |
| <div class="line"><a name="l04435"></a><span class="lineno"> 4435</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l04436"></a><span class="lineno"> 4436</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l04437"></a><span class="lineno"> 4437</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l04438"></a><span class="lineno"> 4438</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l04439"></a><span class="lineno"> 4439</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l04440"></a><span class="lineno"> 4440</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l04441"></a><span class="lineno"> 4441</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div> |
| <div class="line"><a name="l04442"></a><span class="lineno"> 4442</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a></div> |
| <div class="line"><a name="l04443"></a><span class="lineno"> 4443</span>  };</div> |
| <div class="line"><a name="l04444"></a><span class="lineno"> 4444</span>  </div> |
| <div class="line"><a name="l04445"></a><span class="lineno"> 4445</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04446"></a><span class="lineno"> 4446</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04447"></a><span class="lineno"> 4447</span> }</div> |
| <div class="line"><a name="l04448"></a><span class="lineno"> 4448</span>  </div> |
| <div class="line"><a name="l04449"></a><span class="lineno"><a class="line" href="structarmnn_1_1_scatter_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf"> 4449</a></span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1_scatter_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">ScatterNdQueueDescriptor::Validate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& workloadInfo)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l04450"></a><span class="lineno"> 4450</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l04451"></a><span class="lineno"> 4451</span>  <span class="keyword">const</span> std::string& descriptorName{<span class="stringliteral">"ScatterQueueDescriptor"</span>};</div> |
| <div class="line"><a name="l04452"></a><span class="lineno"> 4452</span>  </div> |
| <div class="line"><a name="l04453"></a><span class="lineno"> 4453</span>  ValidateNumInputs(workloadInfo, descriptorName, 3);</div> |
| <div class="line"><a name="l04454"></a><span class="lineno"> 4454</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div> |
| <div class="line"><a name="l04455"></a><span class="lineno"> 4455</span>  </div> |
| <div class="line"><a name="l04456"></a><span class="lineno"> 4456</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo0 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04457"></a><span class="lineno"> 4457</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo1 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div> |
| <div class="line"><a name="l04458"></a><span class="lineno"> 4458</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputTensorInfo2 = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2];</div> |
| <div class="line"><a name="l04459"></a><span class="lineno"> 4459</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div> |
| <div class="line"><a name="l04460"></a><span class="lineno"> 4460</span>  </div> |
| <div class="line"><a name="l04461"></a><span class="lineno"> 4461</span>  std::vector<DataType> supportedTypes =</div> |
| <div class="line"><a name="l04462"></a><span class="lineno"> 4462</span>  {</div> |
| <div class="line"><a name="l04463"></a><span class="lineno"> 4463</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div> |
| <div class="line"><a name="l04464"></a><span class="lineno"> 4464</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div> |
| <div class="line"><a name="l04465"></a><span class="lineno"> 4465</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div> |
| <div class="line"><a name="l04466"></a><span class="lineno"> 4466</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div> |
| <div class="line"><a name="l04467"></a><span class="lineno"> 4467</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>,</div> |
| <div class="line"><a name="l04468"></a><span class="lineno"> 4468</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>,</div> |
| <div class="line"><a name="l04469"></a><span class="lineno"> 4469</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l04470"></a><span class="lineno"> 4470</span>  };</div> |
| <div class="line"><a name="l04471"></a><span class="lineno"> 4471</span>  </div> |
| <div class="line"><a name="l04472"></a><span class="lineno"> 4472</span>  std::vector<DataType> indicesSupportedTypes =</div> |
| <div class="line"><a name="l04473"></a><span class="lineno"> 4473</span>  {</div> |
| <div class="line"><a name="l04474"></a><span class="lineno"> 4474</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a></div> |
| <div class="line"><a name="l04475"></a><span class="lineno"> 4475</span>  };</div> |
| <div class="line"><a name="l04476"></a><span class="lineno"> 4476</span>  </div> |
| <div class="line"><a name="l04477"></a><span class="lineno"> 4477</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_scatter_nd_descriptor.html#a12501f4f1f889d0b63f8a6067cdaad4a">m_InputEnabled</a>)</div> |
| <div class="line"><a name="l04478"></a><span class="lineno"> 4478</span>  {</div> |
| <div class="line"><a name="l04479"></a><span class="lineno"> 4479</span>  ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04480"></a><span class="lineno"> 4480</span>  }</div> |
| <div class="line"><a name="l04481"></a><span class="lineno"> 4481</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l04482"></a><span class="lineno"> 4482</span>  {</div> |
| <div class="line"><a name="l04483"></a><span class="lineno"> 4483</span>  ValidateDataTypes(inputTensorInfo0, indicesSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04484"></a><span class="lineno"> 4484</span>  }</div> |
| <div class="line"><a name="l04485"></a><span class="lineno"> 4485</span>  </div> |
| <div class="line"><a name="l04486"></a><span class="lineno"> 4486</span>  ValidateDataTypes(inputTensorInfo1, indicesSupportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04487"></a><span class="lineno"> 4487</span>  ValidateDataTypes(inputTensorInfo2, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04488"></a><span class="lineno"> 4488</span>  ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div> |
| <div class="line"><a name="l04489"></a><span class="lineno"> 4489</span> }</div> |
| <div class="line"><a name="l04490"></a><span class="lineno"> 4490</span>  </div> |
| <div class="line"><a name="l04491"></a><span class="lineno"> 4491</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_ad9442e26aa79f896da5f404ab825a9c8"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">armnn::LstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00445">WorkloadData.hpp:445</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::LstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00440">WorkloadData.hpp:440</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_slice_descriptor_html_a4939f00778f08d6c6fec6f74c0a59b7e"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html#a4939f00778f08d6c6fec6f74c0a59b7e">armnn::SliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< unsigned int > m_Begin</div><div class="ttdoc">Beginning indices of the slice in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01244">Descriptors.hpp:1244</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::QuantizedLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00645">WorkloadData.hpp:645</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_shape_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_shape_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ShapeQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02945">WorkloadData.cpp:2945</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00162">Descriptors.cpp:162</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_acb441bb8db19bcce78d15cdd8ceb5ea0"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#acb441bb8db19bcce78d15cdd8ceb5ea0">armnn::BatchMatMulDescriptor::m_TransposeX</a></div><div class="ttdeci">bool m_TransposeX</div><div class="ttdoc">Transpose the slices of each input tensor Transpose and Adjoint can not both be set to true for the s...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01612">Descriptors.hpp:1612</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00638">WorkloadData.hpp:638</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_const_tensor_handle_html_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_const_tensor_handle.html#a8e8d2fbabcac19f9e12779080ddff54e">armnn::ConstTensorHandle::GetShape</a></div><div class="ttdeci">TensorShape GetShape() const override</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00056">TensorHandle.hpp:56</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fill_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_fill_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::FillQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01012">WorkloadData.cpp:1012</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_minimum_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_minimum_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MinimumQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02643">WorkloadData.cpp:2643</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00736">WorkloadData.hpp:736</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::QuantizedLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00634">WorkloadData.hpp:634</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional< unsigned int ></a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">armnn::DataLayout::NCDHW</a></div><div class="ttdeci">@ NCDHW</div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00729">WorkloadData.hpp:729</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_broadcast_to_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_broadcast_to_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::BroadcastToQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l04423">WorkloadData.cpp:4423</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad91bc7bfe29186f5d78c28386c6c5309"><div class="ttname"><a href="namespacearmnn.html#ad91bc7bfe29186f5d78c28386c6c5309">armnn::IsQuantized8BitType</a></div><div class="ttdeci">constexpr bool IsQuantized8BitType(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00316">TypesUtils.hpp:316</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">armnn::QLstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01422">Descriptors.hpp:1422</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a3dcd10ca3ea2e132558b1e2814668c15"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">armnn::LstmDescriptor::m_TimeMajor</a></div><div class="ttdeci">bool m_TimeMajor</div><div class="ttdoc">Enable/disable time major.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01154">Descriptors.hpp:1154</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_a96ee5ab4a7d2d8a4634b77d4eb9a949f"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a96ee5ab4a7d2d8a4634b77d4eb9a949f">armnn::BatchNormalizationQueueDescriptor::m_Gamma</a></div><div class="ttdeci">const ConstTensorHandle * m_Gamma</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00324">WorkloadData.hpp:324</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01071">Descriptors.hpp:1071</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_strided_slice_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::StridedSliceQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02586">WorkloadData.cpp:2586</a></div></div> |
| <div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pre_compiled_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::PreCompiledQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03012">WorkloadData.cpp:3012</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00708">Descriptors.hpp:708</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mem_copy_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_mem_copy_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MemCopyQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00491">WorkloadData.cpp:491</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8bc11f1fa23ef42532f9fdd04d355270"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">armnn::TensorInfo::GetQuantizationScales</a></div><div class="ttdeci">std::vector< float > GetQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00451">Tensor.cpp:451</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a118fe06b7c2599da60398ee311ede923"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a118fe06b7c2599da60398ee311ede923">armnn::StridedSliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector< int > m_Begin</div><div class="ttdoc">Begin values for the input that will be sliced.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01342">Descriptors.hpp:1342</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a0cf8306be7d301de0f095fff9901a525"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#a0cf8306be7d301de0f095fff9901a525">armnn::BatchMatMulDescriptor::m_AdjointX</a></div><div class="ttdeci">bool m_AdjointX</div><div class="ttdoc">Adjoint the slices of each input tensor Transpose and Adjoint can not both be set to true for the sam...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01617">Descriptors.hpp:1617</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a58a8b597d58396266e06dd2c415154a2"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#a58a8b597d58396266e06dd2c415154a2">armnn::BatchMatMulDescriptor::GetAxesToMul</a></div><div class="ttdeci">static std::pair< unsigned int, unsigned int > GetAxesToMul(DataLayout dataLayout, const TensorShape &tensorShape)</div><div class="ttdoc">Static helper to get the two axes (for each input) for multiplication.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00485">Descriptors.cpp:485</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_equal_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_equal_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::EqualQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02685">WorkloadData.cpp:2685</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::LstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00427">WorkloadData.hpp:427</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00447">WorkloadData.cpp:447</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fused_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_fused_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::FusedQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01098">WorkloadData.cpp:1098</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::QLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00590">WorkloadData.hpp:590</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_ac93cb1365b4bcb67df2a3164606096c5"><div class="ttname"><a href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">armnnUtils::GetUnsignedAxis</a></div><div class="ttdeci">unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00236">TensorUtils.cpp:236</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_dequantize_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_dequantize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::DequantizeQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02897">WorkloadData.cpp:2897</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a1dbad32cad5c0437e1272f59fedf52ea"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">armnn::QLstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00606">WorkloadData.hpp:606</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_log_softmax_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_log_softmax_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::LogSoftmaxQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01767">WorkloadData.cpp:1767</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00461">Tensor.cpp:461</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00710">Descriptors.hpp:710</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_a744e5178444c4b7bc4d516f4bbee8fcd"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a744e5178444c4b7bc4d516f4bbee8fcd">armnn::BatchNormalizationQueueDescriptor::m_Variance</a></div><div class="ttdeci">const ConstTensorHandle * m_Variance</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00322">WorkloadData.hpp:322</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::LstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00439">WorkloadData.hpp:439</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_scatter_nd_descriptor_html_a12501f4f1f889d0b63f8a6067cdaad4a"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_descriptor.html#a12501f4f1f889d0b63f8a6067cdaad4a">armnn::ScatterNdDescriptor::m_InputEnabled</a></div><div class="ttdeci">bool m_InputEnabled</div><div class="ttdoc">Flag to show if input tensor is accepted.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01722">Descriptors.hpp:1722</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_aedca000a005e091c23191e82d7e81b1d"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#aedca000a005e091c23191e82d7e81b1d">armnn::BatchMatMulDescriptor::m_DataLayoutX</a></div><div class="ttdeci">DataLayout m_DataLayoutX</div><div class="ttdoc">Data layout of each input tensor, such as NHWC/NDHWC (leave as default for arbitrary layout)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01621">Descriptors.hpp:1621</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling3d_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_pooling3d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::Pooling3dQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01550">WorkloadData.cpp:1550</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::LstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00428">WorkloadData.hpp:428</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00233">TypesUtils.hpp:233</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_html_ad3729c591f7bfda7ad9ef9927d8a1bd6"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.html#ad3729c591f7bfda7ad9ef9927d8a1bd6">armnn::FakeQuantizationDescriptor::m_Max</a></div><div class="ttdeci">float m_Max</div><div class="ttdoc">Maximum value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00921">Descriptors.hpp:921</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::QLstmQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03148">WorkloadData.cpp:3148</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::QuantizedLstmQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03434">WorkloadData.cpp:3434</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html_a9a8a6e0c6074b895eb2ff9a16e5003a5"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a9a8a6e0c6074b895eb2ff9a16e5003a5">armnn::TransposeConvolution2dQueueDescriptor::m_Weight</a></div><div class="ttdeci">const ConstTensorHandle * m_Weight</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00551">WorkloadData.hpp:551</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape values.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00898">Descriptors.hpp:898</a></div></div> |
| <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_transpose_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::TransposeQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03106">WorkloadData.cpp:3106</a></div></div> |
| <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a9ef8ddbeee4b869e4c68eb2ed278b8d9"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a9ef8ddbeee4b869e4c68eb2ed278b8d9">armnn::QueueDescriptor::m_AllowExpandedDims</a></div><div class="ttdeci">bool m_AllowExpandedDims</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00052">WorkloadData.hpp:52</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a85e74c2aeaf6fc124e9582329a82d72b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#a85e74c2aeaf6fc124e9582329a82d72b">armnn::BatchMatMulDescriptor::GetPermuteVec</a></div><div class="ttdeci">static PermutationVector GetPermuteVec(DataLayout dataLayout, const TensorShape &tensorShape)</div><div class="ttdoc">Static helper to get the axes which will be transposed.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00523">Descriptors.cpp:523</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01014">Descriptors.hpp:1014</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00576">Descriptors.hpp:576</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a1dbad32cad5c0437e1272f59fedf52ea"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00740">WorkloadData.hpp:740</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01066">Descriptors.hpp:1066</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_a0ae7224f556b0d008d060f847c8f8901"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a0ae7224f556b0d008d060f847c8f8901">armnn::BatchNormalizationQueueDescriptor::m_Mean</a></div><div class="ttdeci">const ConstTensorHandle * m_Mean</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00321">WorkloadData.hpp:321</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00726">WorkloadData.hpp:726</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_ad945fc98770356dd886a68e98a52e26b"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#ad945fc98770356dd886a68e98a52e26b">armnn::BatchMatMulDescriptor::m_AdjointY</a></div><div class="ttdeci">bool m_AdjointY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01618">Descriptors.hpp:1618</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a0e0f66bd03c88f3d2dc666f581d3cf12"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00743">WorkloadData.hpp:743</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00641">WorkloadData.hpp:641</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::QuantizedLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00643">WorkloadData.hpp:643</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00040">TensorHandle.hpp:40</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::UnidirectionalSequenceLstmQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03922">WorkloadData.cpp:3922</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::DepthwiseConvolution2dQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01390">WorkloadData.cpp:1390</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::LstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00429">WorkloadData.hpp:429</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_unary_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ElementwiseUnaryQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03793">WorkloadData.cpp:3793</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00125">Permute.cpp:125</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_gather_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_gather_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::GatherQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02794">WorkloadData.cpp:2794</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reverse_v2_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_reverse_v2_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ReverseV2QueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01625">WorkloadData.cpp:1625</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::QLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00589">WorkloadData.hpp:589</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::BatchMatMulQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l04175">WorkloadData.cpp:4175</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_splitter_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::SplitterQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00748">WorkloadData.cpp:748</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_Crops</div><div class="ttdoc">The values to crop from the input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00900">Descriptors.hpp:900</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00446">Tensor.cpp:446</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00702">Descriptors.hpp:702</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_splitter_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::SplitterQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00124">WorkloadData.hpp:124</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_floor_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_floor_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::FloorQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01989">WorkloadData.cpp:1989</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_queue_descriptor_html_aeb542471c225031a9922db3433f40b56"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.html#aeb542471c225031a9922db3433f40b56">armnn::DetectionPostProcessQueueDescriptor::m_Anchors</a></div><div class="ttdeci">const ConstTensorHandle * m_Anchors</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00246">WorkloadData.hpp:246</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div> |
| <div class="ttc" id="astructarmnn_1_1_abs_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_abs_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::AbsQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03605">WorkloadData.cpp:3605</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00737">WorkloadData.hpp:737</a></div></div> |
| <div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div><div class="ttdeci">@ BFloat16</div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a3ead2ef8da00b2709d561d85996fc513"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">armnn::QLstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00604">WorkloadData.hpp:604</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ad9442e26aa79f896da5f404ab825a9c8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">armnn::QLstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00607">WorkloadData.hpp:607</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_aa09f7bdb9fd0d06b6386e412a4e72dd6"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">armnn::LstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00437">WorkloadData.hpp:437</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ad9442e26aa79f896da5f404ab825a9c8"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ad9442e26aa79f896da5f404ab825a9c8">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00741">WorkloadData.hpp:741</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_instance_normalization_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::InstanceNormalizationQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01706">WorkloadData.cpp:1706</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00724">WorkloadData.hpp:724</a></div></div> |
| <div class="ttc" id="a_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::QLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00596">WorkloadData.hpp:596</a></div></div> |
| <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a61c00316c443adc233c24e85c6c5b740"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">armnnUtils::DataLayoutIndexed::GetHeightIndex</a></div><div class="ttdeci">unsigned int GetHeightIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed.hpp:24</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mean_descriptor_html_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">armnn::MeanDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01192">Descriptors.hpp:1192</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00730">WorkloadData.hpp:730</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::DetectionPostProcessQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02829">WorkloadData.cpp:2829</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::DataLayout::NDHWC</a></div><div class="ttdeci">@ NDHWC</div></div> |
| <div class="ttc" id="astructarmnn_1_1_activation_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_activation_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ActivationQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00604">WorkloadData.cpp:604</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a3ead2ef8da00b2709d561d85996fc513"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00738">WorkloadData.hpp:738</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_splitter_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html">armnn::SplitterQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00113">WorkloadData.hpp:113</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01069">Descriptors.hpp:1069</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01148">Descriptors.hpp:1148</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fake_quantization_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::FakeQuantizationQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01685">WorkloadData.cpp:1685</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01275">Descriptors.hpp:1275</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00640">WorkloadData.hpp:640</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div> |
| <div class="ttc" id="astructarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::BatchNormalizationQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01205">WorkloadData.cpp:1205</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aa09f7bdb9fd0d06b6386e412a4e72dd6"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">armnn::QLstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00599">WorkloadData.hpp:599</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_concat_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00132">WorkloadData.hpp:132</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01144">Descriptors.hpp:1144</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters< ArgMinMaxDescriptor >::m_Parameters</a></div><div class="ttdeci">ArgMinMaxDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00706">Descriptors.hpp:706</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8a2a25ebd8c909241e3f7818389b804ecc">armnn::UnaryOperation::LogicalNot</a></div><div class="ttdeci">@ LogicalNot</div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a20c10fcb26657477377d07b7b1e13120"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">armnn::QLstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00598">WorkloadData.hpp:598</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_permute_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_permute_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::PermuteQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01494">WorkloadData.cpp:1494</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00526">Descriptors.hpp:526</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_map_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_map_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MapQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00455">WorkloadData.cpp:455</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_maximum_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_maximum_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MaximumQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02397">WorkloadData.cpp:2397</a></div></div> |
| <div class="ttc" id="a_logging_8hpp_html"><div class="ttname"><a href="_logging_8hpp.html">Logging.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_debug_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_debug_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::DebugQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02677">WorkloadData.cpp:2677</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_binary_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ElementwiseBinaryQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03764">WorkloadData.cpp:3764</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::QuantizedLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00633">WorkloadData.hpp:633</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mem_import_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_mem_import_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MemImportQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00527">WorkloadData.cpp:527</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a112b466e5d2ab9d1887178adbe3afa1c"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#a112b466e5d2ab9d1887178adbe3afa1c">armnn::BatchMatMulDescriptor::m_TransposeY</a></div><div class="ttdeci">bool m_TransposeY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01613">Descriptors.hpp:1613</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a3a04b0ccee4bb2f21721ee5045e83df4">armnn::DetectionPostProcessDescriptor::m_NumClasses</a></div><div class="ttdeci">uint32_t m_NumClasses</div><div class="ttdoc">Number of classes.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00755">Descriptors.hpp:755</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional< unsigned int > GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00498">Tensor.cpp:498</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_concat_queue_descriptor_1_1_view_origin_html_af2f0a8c9eb32861711c0ce30b7986c44"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">armnn::ConcatQueueDescriptor::ViewOrigin::m_Origin</a></div><div class="ttdeci">std::vector< unsigned int > m_Origin</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00138">WorkloadData.hpp:138</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01273">Descriptors.hpp:1273</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_af672d1c9e2a120a18926cb645981fbb7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#af672d1c9e2a120a18926cb645981fbb7">armnn::TensorInfo::HasMultipleQuantizationScales</a></div><div class="ttdeci">bool HasMultipleQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00203">Tensor.hpp:203</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a7c00efeb540198b33b8558c76e5cc2dd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">armnn::TensorInfo::IsQuantized</a></div><div class="ttdeci">bool IsQuantized() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00508">Tensor.cpp:508</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a53c8a7f33a40e1e240256bcfcf41b101">armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold</a></div><div class="ttdeci">float m_NmsIouThreshold</div><div class="ttdoc">Intersection over union threshold.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00753">Descriptors.hpp:753</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_rank_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_rank_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::RankQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03834">WorkloadData.cpp:3834</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_tile_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_tile_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::TileQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l04391">WorkloadData.cpp:4391</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a22f377fc4e10dc1773a3f979061e85f1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a22f377fc4e10dc1773a3f979061e85f1">armnn::TensorInfo::IsTypeSpaceMatch</a></div><div class="ttdeci">bool IsTypeSpaceMatch(const TensorInfo &other) const</div><div class="ttdoc">Check that the types are the same and, if quantize, that the quantization parameters are the same.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00432">Tensor.cpp:432</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_logical_binary_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_logical_binary_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::LogicalBinaryQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03863">WorkloadData.cpp:3863</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_subtraction_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_subtraction_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::SubtractionQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02363">WorkloadData.cpp:2363</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00582">Descriptors.hpp:582</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_channel_shuffle_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ChannelShuffleQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03135">WorkloadData.cpp:3135</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_aaf7828880989b4b9378d3e86aa6dc843"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#aaf7828880989b4b9378d3e86aa6dc843">armnn::BatchMatMulDescriptor::m_DataLayoutY</a></div><div class="ttdeci">DataLayout m_DataLayoutY</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01622">Descriptors.hpp:1622</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mean_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_mean_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MeanQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02431">WorkloadData.cpp:2431</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a0e0f66bd03c88f3d2dc666f581d3cf12"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">armnn::QLstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00609">WorkloadData.hpp:609</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html"><div class="ttname"><a href="namespacearmnn_utils.html">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_compatible_types_8hpp_source.html#l00010">CompatibleTypes.hpp:10</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_concat_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ConcatQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00820">WorkloadData.cpp:820</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::QLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00600">WorkloadData.hpp:600</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_addb90eb7f4baa493fce64fdb7f140018"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#addb90eb7f4baa493fce64fdb7f140018">armnn::BatchNormalizationQueueDescriptor::m_Beta</a></div><div class="ttdeci">const ConstTensorHandle * m_Beta</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00323">WorkloadData.hpp:323</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00639">WorkloadData.hpp:639</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::QLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00603">WorkloadData.hpp:603</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_resize_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_resize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ResizeQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01577">WorkloadData.cpp:1577</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00735">WorkloadData.hpp:735</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00734">WorkloadData.hpp:734</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_division_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_division_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::DivisionQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02329">WorkloadData.cpp:2329</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::QLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00601">WorkloadData.hpp:601</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution3dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00643">Descriptors.hpp:643</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_constant_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ConstantQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01790">WorkloadData.cpp:1790</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::QuantizedLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00635">WorkloadData.hpp:635</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Convolution3dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00641">Descriptors.hpp:641</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_prelu_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_prelu_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::PreluQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03017">WorkloadData.cpp:3017</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a44eb7524badcca9b2073359e3814c98b">armnn::LstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00438">WorkloadData.hpp:438</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_permutation_vector_html"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00314">Types.hpp:314</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a951b7c90b862138071a298065f16be61"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00731">WorkloadData.hpp:731</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pooling2d_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_pooling2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::Pooling2dQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01523">WorkloadData.cpp:1523</a></div></div> |
| <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a414e6f95548e6f7a01d5028b55ad3941"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">armnnUtils::DataLayoutIndexed::GetWidthIndex</a></div><div class="ttdeci">unsigned int GetWidthIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed.hpp:25</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_aa09f7bdb9fd0d06b6386e412a4e72dd6"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aa09f7bdb9fd0d06b6386e412a4e72dd6">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00733">WorkloadData.hpp:733</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_greater_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_greater_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::GreaterQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02709">WorkloadData.cpp:2709</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html_a1f3f6acdd5436ccf488d5ee3e9e60c02"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a1f3f6acdd5436ccf488d5ee3e9e60c02">armnn::TransposeConvolution2dQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00552">WorkloadData.hpp:552</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::LstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00433">WorkloadData.hpp:433</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::QLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00593">WorkloadData.hpp:593</a></div></div> |
| <div class="ttc" id="a_permute_8hpp_html"><div class="ttname"><a href="_permute_8hpp.html">Permute.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_permute_descriptor_html_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00173">Descriptors.hpp:173</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">armnn::StackDescriptor::m_InputShape</a></div><div class="ttdeci">TensorShape m_InputShape</div><div class="ttdoc">Required shape of all input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01277">Descriptors.hpp:1277</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00574">Descriptors.hpp:574</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_aeef6f1ac3efad8ec8b0a7118652b64c9"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">armnn::LstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00446">WorkloadData.hpp:446</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_cast_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_cast_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::CastQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00695">WorkloadData.cpp:695</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_rsqrt_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_rsqrt_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::RsqrtQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02733">WorkloadData.cpp:2733</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::QuantizedLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00636">WorkloadData.hpp:636</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::QLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00594">WorkloadData.hpp:594</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00728">WorkloadData.hpp:728</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a20c10fcb26657477377d07b7b1e13120"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00732">WorkloadData.hpp:732</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00727">WorkloadData.hpp:727</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_elementwise_unary_descriptor_html_afe768be66897eb3d73284424e3239b23"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html#afe768be66897eb3d73284424e3239b23">armnn::ElementwiseUnaryDescriptor::m_Operation</a></div><div class="ttdeci">UnaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseUnary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00145">Descriptors.hpp:145</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::Convolution2dQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01251">WorkloadData.cpp:1251</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_fully_connected_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::FullyConnectedQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01035">WorkloadData.cpp:1035</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ab160eba2493d5fe52185c0986dcb190c">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00723">WorkloadData.hpp:723</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_constant_queue_descriptor_html_acd77c51cdb162e2b541bc8b474290b7a"><div class="ttname"><a href="structarmnn_1_1_constant_queue_descriptor.html#acd77c51cdb162e2b541bc8b474290b7a">armnn::ConstantQueueDescriptor::m_LayerOutput</a></div><div class="ttdeci">const ConstTensorHandle * m_LayerOutput</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00375">WorkloadData.hpp:375</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depth_to_space_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_depth_to_space_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::DepthToSpaceQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03687">WorkloadData.cpp:3687</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be >= 1.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01092">Descriptors.hpp:1092</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_softmax_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_softmax_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::SoftmaxQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00723">WorkloadData.cpp:723</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::BatchToSpaceNdQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02526">WorkloadData.cpp:2526</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector< int > m_Stride</div><div class="ttdoc">Stride values for the input that will be sliced.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01346">Descriptors.hpp:1346</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::TransposeConvolution2dQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03054">WorkloadData.cpp:3054</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_depth_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::SpaceToDepthQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01936">WorkloadData.cpp:1936</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_permutation_vector_html_a490ec6b59006d1fe1ec2ea30e69fb97c"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">armnn::PermutationVector::GetSize</a></div><div class="ttdeci">SizeType GetSize() const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00357">Types.hpp:357</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_merge_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_merge_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MergeQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02927">WorkloadData.cpp:2927</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_descriptor_html_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01514">Descriptors.hpp:1514</a></div></div> |
| <div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_splitter_queue_descriptor_1_1_view_origin_html_af2f0a8c9eb32861711c0ce30b7986c44"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">armnn::SplitterQueueDescriptor::ViewOrigin::m_Origin</a></div><div class="ttdeci">std::vector< unsigned int > m_Origin</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00119">WorkloadData.hpp:119</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_tile_descriptor_html_a4e66396e5ed6ede8d87dc75103645def"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">armnn::TileDescriptor::m_Multiples</a></div><div class="ttdeci">std::vector< uint32_t > m_Multiples</div><div class="ttdoc">The vector to multiply the input shape by.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01656">Descriptors.hpp:1656</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mean_descriptor_html_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector< unsigned int > m_Axis</div><div class="ttdoc">Values for the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01190">Descriptors.hpp:1190</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input & forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01146">Descriptors.hpp:1146</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::LstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00434">WorkloadData.hpp:434</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_scatter_nd_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_scatter_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ScatterNdQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l04449">WorkloadData.cpp:4449</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::QLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00592">WorkloadData.hpp:592</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_gather_nd_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_gather_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::GatherNdQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02759">WorkloadData.cpp:2759</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4556cbd764d4848d8ad0637a9eed580d"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4556cbd764d4848d8ad0637a9eed580d">armnn::QLstmDescriptor::m_HiddenStateZeroPoint</a></div><div class="ttdeci">int32_t m_HiddenStateZeroPoint</div><div class="ttdoc">Hidden State zero point.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01434">Descriptors.hpp:1434</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_normalization_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::NormalizationQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01103">WorkloadData.cpp:1103</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a1dbad32cad5c0437e1272f59fedf52ea"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a1dbad32cad5c0437e1272f59fedf52ea">armnn::LstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00444">WorkloadData.hpp:444</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a872803f5667392efc3c8e5607bd453ad"><div class="ttname"><a href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">armnn::GetBiasDataType</a></div><div class="ttdeci">DataType GetBiasDataType(DataType inputDataType)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00028">WorkloadData.cpp:28</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01218">Descriptors.hpp:1218</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01152">Descriptors.hpp:1152</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_mem_sync_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_mem_sync_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MemSyncQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00583">WorkloadData.cpp:583</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#adf8571dd1867ee91082bd005f94f2610">armnn::LstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00432">WorkloadData.hpp:432</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_switch_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_switch_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::SwitchQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02971">WorkloadData.cpp:2971</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::QLstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable CIFG (coupled input & forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01418">Descriptors.hpp:1418</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_ac668b31de6fb0f19d4c793d5ed3c3316"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00739">WorkloadData.hpp:739</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_concat_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00143">WorkloadData.hpp:143</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_comparison_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_comparison_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ComparisonQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03740">WorkloadData.cpp:3740</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a3ead2ef8da00b2709d561d85996fc513"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a3ead2ef8da00b2709d561d85996fc513">armnn::LstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00442">WorkloadData.hpp:442</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a951b7c90b862138071a298065f16be61"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">armnn::LstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00435">WorkloadData.hpp:435</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad44c007f21af2d0375e3ef9400a1b275"><div class="ttname"><a href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">armnn::IsQuantizedType</a></div><div class="ttdeci">constexpr bool IsQuantizedType()</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00311">TypesUtils.hpp:311</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_slice_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_slice_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::SliceQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03632">WorkloadData.cpp:3632</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a089f647d882d65f657d7984e5f505f7c"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">armnn::QueueDescriptor::ValidateTensorNumDimensions</a></div><div class="ttdeci">void ValidateTensorNumDimensions(const TensorInfo &tensor, std::string const &descName, unsigned int numDimensions, std::string const &tensorName) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00398">WorkloadData.cpp:398</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::SpaceToBatchNdQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01850">WorkloadData.cpp:1850</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution3dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00653">Descriptors.hpp:653</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_html_a214c3636fdf0ea5bac8edb42d0e6c7f0"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html#a214c3636fdf0ea5bac8edb42d0e6c7f0">armnn::ArgMinMaxDescriptor::m_Axis</a></div><div class="ttdeci">int m_Axis</div><div class="ttdoc">Axis to reduce across the input tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00083">Descriptors.hpp:83</a></div></div> |
| <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a861b2621ee46e4b63379988b360b8cd9"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a861b2621ee46e4b63379988b360b8cd9">armnnUtils::DataLayoutIndexed::GetChannelsIndex</a></div><div class="ttdeci">unsigned int GetChannelsIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00023">DataLayoutIndexed.hpp:23</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_descriptor_html_a5164336f6a1b15be0d434a6bbf7289da"><div class="ttname"><a href="structarmnn_1_1_convolution3d_descriptor.html#a5164336f6a1b15be0d434a6bbf7289da">armnn::Convolution3dDescriptor::m_StrideZ</a></div><div class="ttdeci">uint32_t m_StrideZ</div><div class="ttdoc">Stride value when proceeding through input for the depth dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00645">Descriptors.hpp:645</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convert_fp32_to_fp16_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_convert_fp32_to_fp16_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ConvertFp32ToFp16QueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02283">WorkloadData.cpp:2283</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_arg_min_max_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ArgMinMaxQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00629">WorkloadData.cpp:629</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_reduce_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ReduceQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l03897">WorkloadData.cpp:3897</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_af8f724af7210b52529216feefa993c98"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#af8f724af7210b52529216feefa993c98">armnn::QLstmDescriptor::m_HiddenStateScale</a></div><div class="ttdeci">float m_HiddenStateScale</div><div class="ttdoc">Hidden State quantization scale.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01436">Descriptors.hpp:1436</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fake_quantization_descriptor_html_a4c14a8e0d126891dd0c38e7584312bfd"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.html#a4c14a8e0d126891dd0c38e7584312bfd">armnn::FakeQuantizationDescriptor::m_Min</a></div><div class="ttdeci">float m_Min</div><div class="ttdoc">Minimum value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00919">Descriptors.hpp:919</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a299587d4f3fca029492700f3e2585bd8">armnn::LstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00431">WorkloadData.hpp:431</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">armnn::LstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01150">Descriptors.hpp:1150</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00725">WorkloadData.hpp:725</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_aa68194dd6258ab5b04123005a066ea25"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#aa68194dd6258ab5b04123005a066ea25">armnn::StridedSliceDescriptor::m_End</a></div><div class="ttdeci">std::vector< int > m_End</div><div class="ttdoc">End values for the input that will be sliced.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01344">Descriptors.hpp:1344</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_ac668b31de6fb0f19d4c793d5ed3c3316"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">armnn::LstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00443">WorkloadData.hpp:443</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_pad_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::PadQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02475">WorkloadData.cpp:2475</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unmap_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_unmap_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::UnmapQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00473">WorkloadData.cpp:473</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::LstmQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02013">WorkloadData.cpp:2013</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::LstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00441">WorkloadData.hpp:441</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_l2_normalization_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::L2NormalizationQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01735">WorkloadData.cpp:1735</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ac668b31de6fb0f19d4c793d5ed3c3316"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac668b31de6fb0f19d4c793d5ed3c3316">armnn::QLstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00605">WorkloadData.hpp:605</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a951b7c90b862138071a298065f16be61"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a951b7c90b862138071a298065f16be61">armnn::QLstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00597">WorkloadData.hpp:597</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convert_fp16_to_fp32_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_convert_fp16_to_fp32_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ConvertFp16ToFp32QueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02306">WorkloadData.cpp:2306</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01481">Descriptors.hpp:1481</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::QLstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01424">Descriptors.hpp:1424</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::DataType::Signed64</a></div><div class="ttdeci">@ Signed64</div></div> |
| <div class="ttc" id="astructarmnn_1_1_slice_descriptor_html_ab52cabf19232290fa6b49828ba957ac0"><div class="ttname"><a href="structarmnn_1_1_slice_descriptor.html#ab52cabf19232290fa6b49828ba957ac0">armnn::SliceDescriptor::m_Size</a></div><div class="ttdeci">std::vector< unsigned int > m_Size</div><div class="ttdoc">Size of the slice in each dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01247">Descriptors.hpp:1247</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a6e9593869b82984de198fed27f72cdcf">armnn::QLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00602">WorkloadData.hpp:602</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00902">Descriptors.hpp:902</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00482">Tensor.cpp:482</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a8a30194ce14c088a2625ccc8c3e9d155"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a8a30194ce14c088a2625ccc8c3e9d155">armnn::QueueDescriptor::ValidateTensorNumDimNumElem</a></div><div class="ttdeci">void ValidateTensorNumDimNumElem(const TensorInfo &tensorInfo, unsigned int numDimension, unsigned int numElements, std::string const &tensorName) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00436">WorkloadData.cpp:436</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a20c10fcb26657477377d07b7b1e13120"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a20c10fcb26657477377d07b7b1e13120">armnn::LstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00436">WorkloadData.hpp:436</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::LstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00430">WorkloadData.hpp:430</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00704">Descriptors.hpp:704</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#a841439e3b8dc157a7368b19c9ecb7d03">armnn::QLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00591">WorkloadData.hpp:591</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_stack_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_stack_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::StackQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00916">WorkloadData.cpp:916</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01142">Descriptors.hpp:1142</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantize_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_quantize_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::QuantizeQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l02497">WorkloadData.cpp:2497</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_lstm_queue_descriptor_html_a0e0f66bd03c88f3d2dc666f581d3cf12"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.html#a0e0f66bd03c88f3d2dc666f581d3cf12">armnn::LstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00447">WorkloadData.hpp:447</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_mat_mul_descriptor_html_a991faafc762a50c3aa7a756117378cc1"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.html#a991faafc762a50c3aa7a756117378cc1">armnn::BatchMatMulDescriptor::GetAxesNotMul</a></div><div class="ttdeci">static std::vector< unsigned int > GetAxesNotMul(DataLayout dataLayout, const TensorShape &tensorShape)</div><div class="ttdoc">Static helper to get the axes (for each input) that will not be multiplied together.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00506">Descriptors.cpp:506</a></div></div> |
| <div class="ttc" id="a_data_layout_indexed_8hpp_html"><div class="ttname"><a href="_data_layout_indexed_8hpp.html">DataLayoutIndexed.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html_aeef6f1ac3efad8ec8b0a7118652b64c9"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">armnn::UnidirectionalSequenceLstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00742">WorkloadData.hpp:742</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_q_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::QLstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01420">Descriptors.hpp:1420</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reshape_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_reshape_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::ReshapeQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01821">WorkloadData.cpp:1821</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a5ff4158b1b363b898d0da04c42d37ce0">armnn::QuantizedLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00646">WorkloadData.hpp:646</a></div></div> |
| <div class="ttc" id="a_workload_info_8hpp_html"><div class="ttname"><a href="_workload_info_8hpp.html">WorkloadInfo.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch< std::is_reference< T >::value, T >::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_multiplication_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_multiplication_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::MultiplicationQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01168">WorkloadData.cpp:1168</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_aeef6f1ac3efad8ec8b0a7118652b64c9"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#aeef6f1ac3efad8ec8b0a7118652b64c9">armnn::QLstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00608">WorkloadData.hpp:608</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_base_html_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00053">Optional.hpp:53</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_q_lstm_queue_descriptor_html_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_q_lstm_queue_descriptor.html#ac18c8b8b2039267d8282e91b4162d8aa">armnn::QLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00595">WorkloadData.hpp:595</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div> |
| <div class="ttc" id="astructarmnn_1_1_quantized_lstm_queue_descriptor_html_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.html#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::QuantizedLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00644">WorkloadData.hpp:644</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution3d_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_convolution3d_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::Convolution3dQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01328">WorkloadData.cpp:1328</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_addition_queue_descriptor_html_a041e495449e22774a34d92b0904c10bf"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">armnn::AdditionQueueDescriptor::Validate</a></div><div class="ttdeci">void Validate(const WorkloadInfo &workloadInfo) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l01131">WorkloadData.cpp:1131</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01095">Descriptors.hpp:1095</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00700">Descriptors.hpp:700</a></div></div> |
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