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<div class="title">Stack.cpp</div> </div>
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<a href="_stack_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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_stack_8hpp.html">Stack.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>&quot;</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160; </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;{</div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; </div>
<div class="line"><a name="l00012"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac245fda400649db10eed0dc96c1b5c37"> 12</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ac245fda400649db10eed0dc96c1b5c37">Stack</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_queue_descriptor.html">StackQueueDescriptor</a>&amp; data,</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; std::vector&lt;std::unique_ptr&lt;<a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&gt;&gt;&amp; inputs,</div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">Encoder&lt;float&gt;</a>&amp; output,</div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo)</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputNumDims = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputNumDims = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; </div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; outputDims = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; inputDims = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; </div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis = data.<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>;</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="comment">// Can perform a simple concatenation when axis == 0</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">if</span> (!axis)</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs = data.<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="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputLength = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIdx=0; inputIdx&lt;numInputs; ++inputIdx)</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; {</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elmt=0; elmt&lt;inputLength; ++elmt)</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; (*inputs[inputIdx])[elmt];</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; output[(inputIdx * inputLength) + elmt];</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputs[inputIdx]-&gt;Get());</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; }</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; }</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iNumTensors = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size());</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iBatchSize = inputDims[0];</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iChannels = (inputNumDims &gt; 1) ? inputDims[1] : 1;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iHeight = (inputNumDims &gt; 2) ? inputDims[2] : 1;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iWidth = (inputNumDims &gt; 3) ? inputDims[3] : 1;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oBatchSize = outputDims[1];</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oChannels = (outputNumDims &gt; 2) ? outputDims[2] : 1;</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oHeight = (outputNumDims &gt; 3) ? outputDims[3] : 1;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> oWidth = (outputNumDims &gt; 4) ? outputDims[4] : 1;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="comment">// Array to store the input coordinates</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="comment">// iCoordinates[0] = i, iCoordinates[1] = bi, iCoordinates[2] = ci</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="comment">// iCoordinates[3] = hi, iCoordinates[4] = wi, iCoordinates[5] = 0</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="comment">// iCoordinates[5] will be always zero and used for not incrementing</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="comment">// the output when the input has less than 4 dimensions</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; std::array&lt;unsigned int, 6&gt; iCoordinates{ 0 };</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; </div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="comment">// Array of pointers used to map the output coordinates to the input ones, in accordance with the axis</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="comment">// This array is initialized with &amp;iCoordinates[5] since this will be always zero</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; std::array&lt;unsigned int *, 5&gt; oCoordinates = { &amp;iCoordinates[5],</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; &amp;iCoordinates[5],</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; &amp;iCoordinates[5],</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; &amp;iCoordinates[5],</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; &amp;iCoordinates[5] };</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; </div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="comment">// Set the axis coordinate</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; oCoordinates[axis] = &amp;iCoordinates[0];</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="comment">// Map the output coordinates, accounting for the axis</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim_shift = 0;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dim = 0; dim &lt; inputNumDims; ++dim)</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">if</span>(dim == axis)</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; dim_shift++;</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; }</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; oCoordinates[dim + dim_shift] = &amp;iCoordinates[dim + 1];</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; }</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="comment">// Alias for the input coordinates</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;i = iCoordinates[0];</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;bi = iCoordinates[1];</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;ci = iCoordinates[2];</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;hi = iCoordinates[3];</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;wi = iCoordinates[4];</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="comment">// Alias for the output coordinates</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;o = *(oCoordinates[0]);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;bo = *(oCoordinates[1]);</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;co = *(oCoordinates[2]);</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;ho = *(oCoordinates[3]);</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> &amp;wo = *(oCoordinates[4]);</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="comment">// Stack tensors</span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keywordflow">for</span>(; i &lt; iNumTensors; ++(i))</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; {</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">for</span>(bi = 0; bi &lt; iBatchSize; ++(bi))</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">for</span>(ci = 0; ci &lt; iChannels; ++(ci))</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">for</span>(hi = 0; hi &lt; iHeight; ++(hi))</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; {</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordflow">for</span>(wi = 0; wi &lt; iWidth; ++(wi))</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; {</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; output[o * oWidth * oHeight * oChannels * oBatchSize +</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; bo * oWidth * oHeight * oChannels +</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; co * oWidth * oHeight +</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; ho * oWidth +</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; wo];</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; </div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputs[i]-&gt;Get());</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; ++(*(inputs[i]));</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; }</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; }</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; }</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; }</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;}</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;} <span class="comment">// namespace armnn</span></div>
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<div class="ttc" id="aclassarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder&lt; float &gt;</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_encoder_html"><div class="ttname"><a href="classarmnn_1_1_encoder.html">armnn::Encoder&lt; float &gt;</a></div></div>
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<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="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div>
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<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>
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<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&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
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