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| <a href="_shape_datasets_8h.xhtml">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 (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__</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="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <type_traits></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#ifdef BOOST</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="boost__wrapper_8h.xhtml">boost_wrapper.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>test</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">template</span> <<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> Size></div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml"> 45</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a></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">public</span>:</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a7b1efb5448e13436452705cd7efe5de2"> 49</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">sample</a> = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">enum</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#ab04a0655cd1e3bcac5e8f48c18df1a57a3e9a21bf74887eff2f2826d1478670b2"> 54</a></span>  <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#ab04a0655cd1e3bcac5e8f48c18df1a57a3e9a21bf74887eff2f2826d1478670b2">arity</a> = 1</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  };</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor">#ifdef BOOST</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  boost::unit_test::data::size_t <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a90ca964ebcc1b02bbcde225edd49e812">size</a>() const</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a90ca964ebcc1b02bbcde225edd49e812"> 61</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a90ca964ebcc1b02bbcde225edd49e812">size</a>() const</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> _shapes.size();</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a766d4f910169898883b8f8718ad8f9ae"> 70</a></span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">iterator</a> = <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> *;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6"> 73</a></span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">iterator</a> <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">begin</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> _shapes.data();</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> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">template</span> <<span class="keyword">typename</span>... Ts></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a>(Ts... shapes)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  : _shapes{ { shapes... } }</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>  }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  ~ShapeDataset() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  std::array<TensorShape, Size> _shapes;</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="l00096"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_small1_d_shape.xhtml"> 96</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_small1_d_shape.xhtml">Small1DShape</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a><1></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="keyword">public</span>:</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_small1_d_shape.xhtml#a42e48f27686347e905050153e3e87dc5"> 99</a></span>  <a class="code" href="classarm__compute_1_1test_1_1_small1_d_shape.xhtml#a42e48f27686347e905050153e3e87dc5">Small1DShape</a>()</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  : <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>))</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</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="l00106"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_small_shapes.xhtml"> 106</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_small_shapes.xhtml">SmallShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a><3></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="keyword">public</span>:</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531"> 109</a></span>  <a class="code" href="classarm__compute_1_1test_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531">SmallShapes</a>()</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  : <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(128<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>))</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>  }</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> </div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_large_shapes.xhtml"> 118</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1_large_shapes.xhtml">LargeShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a><3></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> <span class="keyword">public</span>:</div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3"> 121</a></span>  <a class="code" href="classarm__compute_1_1test_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">LargeShapes</a>()</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  : <a class="code" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">ShapeDataset</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(1920<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1080<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(1245<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 652<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(4160<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3120<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>))</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>  }</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="comment">// namespace test</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="preprocessor">#endif</span></div><div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_shape_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_shape_dataset.xhtml">arm_compute::test::ShapeDataset</a></div><div class="ttdoc">Abstract data set containing tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00045">ShapeDatasets.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_shape_dataset_xhtml_ab04a0655cd1e3bcac5e8f48c18df1a57a3e9a21bf74887eff2f2826d1478670b2"><div class="ttname"><a href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#ab04a0655cd1e3bcac5e8f48c18df1a57a3e9a21bf74887eff2f2826d1478670b2">arm_compute::test::ShapeDataset::arity</a></div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00054">ShapeDatasets.h:54</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_shape_dataset_xhtml_a2fcbf5359798ec294d009f286fd802e6"><div class="ttname"><a href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">arm_compute::test::ShapeDataset::begin</a></div><div class="ttdeci">iterator begin() const </div><div class="ttdoc">Iterator to the first sample in the data set. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00073">ShapeDatasets.h:73</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_small1_d_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_small1_d_shape.xhtml">arm_compute::test::Small1DShape</a></div><div class="ttdoc">Data set containing one 1D tensor shape. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00096">ShapeDatasets.h:96</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_small_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_small_shapes.xhtml">arm_compute::test::SmallShapes</a></div><div class="ttdoc">Data set containing small tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00106">ShapeDatasets.h:106</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_large_shapes_xhtml_a9715c2e5fcad0e230de11c4f66ecf8a3"><div class="ttname"><a href="classarm__compute_1_1test_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">arm_compute::test::LargeShapes::LargeShapes</a></div><div class="ttdeci">LargeShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00121">ShapeDatasets.h:121</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_large_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_large_shapes.xhtml">arm_compute::test::LargeShapes</a></div><div class="ttdoc">Data set containing large tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00118">ShapeDatasets.h:118</a></div></div> |
| <div class="ttc" id="boost__wrapper_8h_xhtml"><div class="ttname"><a href="boost__wrapper_8h.xhtml">boost_wrapper.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_small_shapes_xhtml_a1b136718b9d6afe5e05c64730fd84531"><div class="ttname"><a href="classarm__compute_1_1test_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531">arm_compute::test::SmallShapes::SmallShapes</a></div><div class="ttdeci">SmallShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00109">ShapeDatasets.h:109</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_shape_dataset_xhtml_a90ca964ebcc1b02bbcde225edd49e812"><div class="ttname"><a href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#a90ca964ebcc1b02bbcde225edd49e812">arm_compute::test::ShapeDataset::size</a></div><div class="ttdeci">unsigned int size() const </div><div class="ttdoc">Number of samples in the data set. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00061">ShapeDatasets.h:61</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_small1_d_shape_xhtml_a42e48f27686347e905050153e3e87dc5"><div class="ttname"><a href="classarm__compute_1_1test_1_1_small1_d_shape.xhtml#a42e48f27686347e905050153e3e87dc5">arm_compute::test::Small1DShape::Small1DShape</a></div><div class="ttdeci">Small1DShape()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00099">ShapeDatasets.h:99</a></div></div> |
| <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div> |
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