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review.mlplatform.org / ml / armnn / 38b600d8abb2c5f7a44511b5deddf441f975d51d / . / 23.05 / _parser_helper_8cpp_source.xhtml
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101<div class="title">ParserHelper.cpp</div> </div>
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103<div class="contents">
104<a href="_parser_helper_8cpp.xhtml">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>
105<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>
106<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
107<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
108<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
109<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_parser_helper_8hpp.xhtml">ParserHelper.hpp</a>&quot;</span></div>
110<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
111<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>&gt;</span></div>
112<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>&gt;</span></div>
113<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
114<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;fmt/format.h&gt;</span></div>
115<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
116<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn_utils.xhtml">armnnUtils</a></div>
117<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;{</div>
118<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; </div>
119<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml#a12124184ac6aec018beb98b9715330c7"> 16</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> <a class="code" href="namespacearmnn_utils.xhtml#a12124184ac6aec018beb98b9715330c7">NHWCToArmNN</a> = { 0, 2, 3, 1 };</div>
120<div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml#a59cbccbfbae7633020d200f8c23fe69e"> 17</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> <a class="code" href="namespacearmnn_utils.xhtml#a59cbccbfbae7633020d200f8c23fe69e">ArmNNToNHWC</a> = { 0, 3, 1, 2 };</div>
121<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; </div>
122<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml#a523deabeb7d0a884028b35eebfd1cb6c"> 19</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn_utils.xhtml#a523deabeb7d0a884028b35eebfd1cb6c">ProcessConcatInputTensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputTensorInfo,</div>
123<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a>&amp; concatDescriptor,</div>
124<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; concatAxis,</div>
125<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex,</div>
126<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; mergeDimOrigin)</div>
127<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;{</div>
128<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> uint32_t inputRank = concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>();</div>
129<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; </div>
130<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="comment">// double check dimensions of the tensors</span></div>
131<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != inputRank)</div>
132<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; {</div>
133<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a>(fmt::format(</div>
134<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="stringliteral">&quot;The number of dimensions: {0} for input tensors of the &quot;</span></div>
135<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="stringliteral">&quot;concatenation op should be {1} {2}&quot;</span>,</div>
136<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div>
137<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; inputRank,</div>
138<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div>
139<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; }</div>
140<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; </div>
141<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j &lt; concatAxis; ++j)</div>
142<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; {</div>
143<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, j, 0);</div>
144<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; }</div>
145<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; </div>
146<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, concatAxis, mergeDimOrigin);</div>
147<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; mergeDimOrigin += inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[concatAxis];</div>
148<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
149<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = concatAxis + 1; j &lt; inputRank; ++j)</div>
150<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {</div>
151<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, j, 0);</div>
152<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; }</div>
153<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;}</div>
154<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; </div>
155<div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855"> 52</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputTensorInfo,</div>
156<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keyword">const</span> std::set&lt;unsigned int&gt;&amp; axisSet,</div>
157<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordtype">bool</span> keepDims,</div>
158<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputTensorInfo)</div>
159<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;{</div>
160<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; std::vector&lt;unsigned int&gt; outputShapeVector;</div>
161<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordtype">bool</span> dimensionFound = <span class="keyword">false</span>;</div>
162<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size = 1;</div>
163<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; </div>
164<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div>
165<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; {</div>
166<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; dimensionFound = <span class="keyword">false</span>;</div>
167<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis: axisSet)</div>
168<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; {</div>
169<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (axis == i)</div>
170<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
171<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; dimensionFound = <span class="keyword">true</span>;</div>
172<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">break</span>;</div>
173<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; }</div>
174<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div>
175<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; </div>
176<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">if</span> (!dimensionFound)</div>
177<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; {</div>
178<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; size *= inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div>
179<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; </div>
180<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">if</span> (keepDims)</div>
181<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div>
182<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; outputShapeVector.push_back(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i]);</div>
183<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; }</div>
184<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div>
185<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">else</span></div>
186<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {</div>
187<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">if</span> (keepDims)</div>
188<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; {</div>
189<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; outputShapeVector.push_back(1);</div>
190<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; }</div>
191<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; }</div>
192<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div>
193<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </div>
194<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">if</span> (keepDims)</div>
195<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; {</div>
196<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), &amp;outputShapeVector[0]);</div>
197<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(outputTensorShape, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>());</div>
198<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; }</div>
199<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">else</span></div>
200<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; {</div>
201<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({size}, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>());</div>
202<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div>
203<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;}</div>
204<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; </div>
205<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; </div>
206<div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml#a9300450bab29bb951d6f8755b7d9d3a8"> 103</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn_utils.xhtml#a9300450bab29bb951d6f8755b7d9d3a8">CalculateStridedSliceOutputTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputTensorInfo,</div>
207<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a>&amp; desc,</div>
208<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputTensorInfo)</div>
209<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160;{</div>
210<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>&amp; inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
211<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; </div>
212<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::vector&lt;unsigned int&gt; outputShapeVector;</div>
213<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div>
214<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; {</div>
215<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">if</span> (desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a> &amp; (1 &lt;&lt; i))</div>
216<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; {</div>
217<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">continue</span>;</div>
218<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; }</div>
219<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; </div>
220<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordtype">int</span> stride = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a>[i];</div>
221<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordtype">int</span> start = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#add849c1188ee7ff60774755b746aa526">GetStartForAxis</a>(inputShape, i);</div>
222<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordtype">int</span> stop = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#afc4731b55776f71af1e14c799c6e6e2c">GetStopForAxis</a>(inputShape, i, start);</div>
223<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; </div>
224<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordtype">int</span> newSize = stride &gt; 0 ? ((stop - start) + stride - 1) / stride :</div>
225<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; ((start - stop) - stride - 1) / -stride;</div>
226<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; </div>
227<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; newSize = std::max(0, newSize);</div>
228<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; </div>
229<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; outputShapeVector.push_back(<span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(newSize));</div>
230<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; }</div>
231<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
232<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), &amp;outputShapeVector[0]);</div>
233<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>(outputTensorShape), inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>());</div>
234<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;}</div>
235<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;} <span class="comment">// namespace armnnUtils</span></div>
236</div><!-- fragment --></div><!-- contents -->
237</div><!-- doc-content -->
238<div class="ttc" id="anamespacearmnn_utils_xhtml_a9300450bab29bb951d6f8755b7d9d3a8"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a9300450bab29bb951d6f8755b7d9d3a8">armnnUtils::CalculateStridedSliceOutputTensorInfo</a></div><div class="ttdeci">void CalculateStridedSliceOutputTensorInfo(const armnn::TensorInfo &amp;inputTensorInfo, const armnn::StridedSliceDescriptor &amp;desc, armnn::TensorInfo &amp;outputTensorInfo)</div><div class="ttdoc">Create output tensor info for a StridedSlice operator.</div><div class="ttdef"><b>Definition:</b> <a href="_parser_helper_8cpp_source.xhtml#l00103">ParserHelper.cpp:103</a></div></div>
239<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00192">Descriptors.cpp:192</a></div></div>
240<div class="ttc" id="a_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div>
241<div class="ttc" id="aclassarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
242<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a></div><div class="ttdoc">A StridedSliceDescriptor for the StridedSliceLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01270">Descriptors.hpp:1270</a></div></div>
243<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_afc4731b55776f71af1e14c799c6e6e2c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#afc4731b55776f71af1e14c799c6e6e2c">armnn::StridedSliceDescriptor::GetStopForAxis</a></div><div class="ttdeci">int GetStopForAxis(const TensorShape &amp;inputShape, unsigned int axis, int startForAxis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00393">Descriptors.cpp:393</a></div></div>
244<div class="ttc" id="anamespacearmnn_utils_xhtml"><div class="ttname"><a href="namespacearmnn_utils.xhtml">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_compatible_types_8hpp_source.xhtml#l00010">CompatibleTypes.hpp:10</a></div></div>
245<div class="ttc" id="anamespacearmnn_utils_xhtml_a59cbccbfbae7633020d200f8c23fe69e"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a59cbccbfbae7633020d200f8c23fe69e">armnnUtils::ArmNNToNHWC</a></div><div class="ttdeci">const armnn::PermutationVector ArmNNToNHWC</div><div class="ttdef"><b>Definition:</b> <a href="_parser_helper_8cpp_source.xhtml#l00017">ParserHelper.cpp:17</a></div></div>
246<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
247<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00195">Tensor.hpp:195</a></div></div>
248<div class="ttc" id="a_parser_helper_8hpp_xhtml"><div class="ttname"><a href="_parser_helper_8hpp.xhtml">ParserHelper.hpp</a></div></div>
249<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
250<div class="ttc" id="a_permute_8hpp_xhtml"><div class="ttname"><a href="_permute_8hpp.xhtml">Permute.hpp</a></div></div>
251<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_add849c1188ee7ff60774755b746aa526"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#add849c1188ee7ff60774755b746aa526">armnn::StridedSliceDescriptor::GetStartForAxis</a></div><div class="ttdeci">int GetStartForAxis(const TensorShape &amp;inputShape, unsigned int axis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00366">Descriptors.cpp:366</a></div></div>
252<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
253<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector&lt; int &gt; 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.xhtml#l01313">Descriptors.hpp:1313</a></div></div>
254<div class="ttc" id="aclassarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00306">Types.hpp:306</a></div></div>
255<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_xhtml_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">armnn::StridedSliceDescriptor::m_ShrinkAxisMask</a></div><div class="ttdeci">int32_t m_ShrinkAxisMask</div><div class="ttdoc">Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01322">Descriptors.hpp:1322</a></div></div>
256<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00201">Descriptors.hpp:201</a></div></div>
257<div class="ttc" id="anamespacearmnn_utils_xhtml_aac34adc5b96d744ae53eac580213f855"><div class="ttname"><a href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">armnnUtils::CalculateReducedOutputTensoInfo</a></div><div class="ttdeci">void CalculateReducedOutputTensoInfo(const armnn::TensorInfo &amp;inputTensorInfo, const std::set&lt; unsigned int &gt; &amp;axisSet, bool keepDims, armnn::TensorInfo &amp;outputTensorInfo)</div><div class="ttdoc">Creates a tensor info after reducing the dimensions mentioned in axisData.</div><div class="ttdef"><b>Definition:</b> <a href="_parser_helper_8cpp_source.xhtml#l00052">ParserHelper.cpp:52</a></div></div>
258<div class="ttc" id="a_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div>
259<div class="ttc" id="anamespacearmnn_utils_xhtml_a523deabeb7d0a884028b35eebfd1cb6c"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a523deabeb7d0a884028b35eebfd1cb6c">armnnUtils::ProcessConcatInputTensorInfo</a></div><div class="ttdeci">void ProcessConcatInputTensorInfo(armnn::TensorInfo &amp;inputTensorInfo, armnn::OriginsDescriptor &amp;concatDescriptor, const unsigned int &amp;concatAxis, unsigned int inputIndex, unsigned int &amp;mergeDimOrigin)</div><div class="ttdef"><b>Definition:</b> <a href="_parser_helper_8cpp_source.xhtml#l00019">ParserHelper.cpp:19</a></div></div>
260<div class="ttc" id="anamespacearmnn_utils_xhtml_a12124184ac6aec018beb98b9715330c7"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a12124184ac6aec018beb98b9715330c7">armnnUtils::NHWCToArmNN</a></div><div class="ttdeci">const armnn::PermutationVector NHWCToArmNN</div><div class="ttdef"><b>Definition:</b> <a href="_parser_helper_8cpp_source.xhtml#l00016">ParserHelper.cpp:16</a></div></div>
261<div class="ttc" id="astructarmnn_1_1_origins_descriptor_xhtml_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::OriginsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">@Brief Set the view origin coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00167">Descriptors.cpp:167</a></div></div>
262<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00198">Tensor.hpp:198</a></div></div>
263<!-- start footer part -->
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265 <ul>
266 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_5d9c764a006d252ff232a5efbbd99a46.xhtml">armnnUtils</a></li><li class="navelem"><a class="el" href="_parser_helper_8cpp.xhtml">ParserHelper.cpp</a></li>
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269 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
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