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bugfix: CLDeconvolutionLayer::validate fails if bias==NULL (#439)
[platform/upstream/armcl.git] / documentation / _shape_datasets_8h_source.xhtml
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120 <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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<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>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<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>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_datasets_8h.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &lt;type_traits&gt;</span></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="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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="keyword">namespace </span>test</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;<span class="keyword">namespace </span>datasets</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1datasets.xhtml#ae6b0d1adb193102aad304e0765655a3a">   39</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a> = <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">framework::dataset::ContainerDataset&lt;std::vector&lt;TensorShape&gt;</a>&gt;;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes.xhtml">   42</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes.xhtml">Small1DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></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">public</span>:</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes.xhtml#a1b3c1c17f4e9b0285fcd07cf58088005">   45</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes.xhtml#a1b3c1c17f4e9b0285fcd07cf58088005">Small1DShapes</a>()</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    {</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> }</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;    {</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    }</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;};</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes.xhtml">   55</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes.xhtml">Tiny2DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;{</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes.xhtml#a53121b0a63214d4e76ab23b4cc121baa">   58</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes.xhtml#a53121b0a63214d4e76ab23b4cc121baa">Tiny2DShapes</a>()</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    {</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 11U, 13U },</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    })</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    {</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    }</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;};</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml">   68</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml">Small2DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></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="keyword">public</span>:</div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml#af5e1a4f2a8c5ec30856fbe4f3efe4ee9">   71</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml#af5e1a4f2a8c5ec30856fbe4f3efe4ee9">Small2DShapes</a>()</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    {</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 13U },</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128U, 64U }</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    })</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;    }</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;</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes.xhtml">   83</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes.xhtml">Tiny3DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;{</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes.xhtml#a38986b8a75356a9835ebec95c6d6af9c">   86</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes.xhtml#a38986b8a75356a9835ebec95c6d6af9c">Tiny3DShapes</a>()</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    {</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5U },</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 23U, 13U, 9U },</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    })</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    {</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    }</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;};</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml">   97</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml">Small3DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;{</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml#a231cfeceb3e607c02a8347adeb894eb9">  100</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml#a231cfeceb3e607c02a8347adeb894eb9">Small3DShapes</a>()</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</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;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7U },</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7U, 7U, 5U },</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 13U, 37U },</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128U, 64U, 21U }</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    })</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;    }</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;};</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes.xhtml">  113</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes.xhtml">Tiny4DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></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;<span class="keyword">public</span>:</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes.xhtml#a5a60abed7bfd8910fe5b4faafe6646fe">  116</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes.xhtml#a5a60abed7bfd8910fe5b4faafe6646fe">Tiny4DShapes</a>()</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset<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b0075e16">TinyShapes</a>()</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    {</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <span class="comment">// Batch size 1</span></div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 13U, 2U },</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    })</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    {</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    }</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;};</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml">  156</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml">SmallShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;{</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531">  159</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531">SmallShapes</a>()</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    {</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;        <span class="comment">// Batch size 1</span></div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 13U, 2U },</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128U, 64U, 1U, 3U },</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;                     <span class="comment">// Batch size 4</span></div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9U, 9U, 3U, 4U },</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 13U, 2U, 4U },</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                     <span class="comment">// Arbitrary batch size</span></div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9U, 9U, 3U, 5U }</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    })</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    {</div><div class="line"><a name="l00173"></a><span class="lineno"> 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lass="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1U },</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9U, 9U, 3U, 5U }</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    }))</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    {</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    }</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;};</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml">  205</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml">MediumShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;{</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml#aa259527d4665a07f78d7512a32fa1bd0">  208</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml#aa259527d4665a07f78d7512a32fa1bd0">MediumShapes</a>()</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    {</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;        <span class="comment">// Batch size 1</span></div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 33U, 2U },</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128U, 64U, 1U, 3U },</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;                     <span class="comment">// Batch size 4</span></div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 37U, 37U, 3U, 4U },</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 33U, 2U, 4U },</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;                     <span class="comment">// Arbitrary batch size</span></div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 37U, 37U, 3U, 5U }</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    })</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    {</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    }</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;};</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes.xhtml">  226</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes.xhtml">Medium2DShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;{</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes.xhtml#a300721f77cb672f063411b357a23355f">  229</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes.xhtml#a300721f77cb672f063411b357a23355f">Medium2DShapes</a>()</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    {</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 42<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 57U, 60U },</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128U, 64U },</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 83U, 72U }</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    })</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    {</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    }</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;};</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml">  242</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml">LargeShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;{</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00245"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">  245</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">LargeShapes</a>()</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    {</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        <span class="comment">// Batch size 1</span></div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1921<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1083<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 641U, 485U, 2U, 3U },</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 4159U, 3117U },</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;                     <span class="comment">// Batch size 4</span></div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 799U, 595U, 1U, 4U },</div><div class="line"><a n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ct_convolution_tensor_shift_shapes.xhtml">  393</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_tensor_shift_shapes.xhtml">SmallDirectConvolutionTensorShiftShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;{</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00396"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_tensor_shift_shapes.xhtml#af09bea43374e4a36bb0291e133210ebc">  396</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_tensor_shift_shapes.xhtml#af09bea43374e4a36bb0291e133210ebc">SmallDirectConvolutionTensorShiftShapes</a>()</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;InputShape&quot;</span>,</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;    {</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;        <span class="comment">// Batch size 1</span></div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 35<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3U },</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32U, 37U, 3U },</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;                     <span class="comment">// Batch size 4</span></div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32U, 37U, 3U, 4U },</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;                     <span class="comment">// Batch size 8</span></div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32U, 37U, 3U, 8U },</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 33U, 35U, 3U, 8U },</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;                     <span class="comment">// Arbitrary batch size</span></div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 32U, 37U, 3U, 8U }</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    })</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;    {</div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    }</div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;};</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;</div><div class="line"><a name="l00415"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes.xhtml">  415</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes.xhtml">DepthConcatenateLayerShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;{</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00418"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes.xhtml#aad6e899d276c6cd937242b0d8a3d8632">  418</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes.xhtml#aad6e899d276c6cd937242b0d8a3d8632">DepthConcatenateLayerShapes</a>()</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    {</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 322<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 243<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 463U, 879U },</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 416U, 651U }</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;    })</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;    {</div><div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;    }</div><div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;};</div><div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;</div><div class="line"><a name="l00430"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml">  430</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml">GlobalPoolingShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;{</div><div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">  433</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">GlobalPoolingShapes</a>()</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    {</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;        <span class="comment">// Batch size 1</span></div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 13U, 13U, 2U },</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 27U, 27U, 1U, 3U },</div><div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;                     <span class="comment">// Batch size 4</span></div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 31U, 31U, 3U, 4U },</div><div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 34U, 34U, 2U, 4U }</div><div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;    })</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;    {</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;    }</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;};</div><div class="line"><a name="l00448"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes.xhtml">  448</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes.xhtml">SoftmaxLayerTinyShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;{</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes.xhtml#a868b3e1d449024e362204f40adaf633b">  451</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes.xhtml#a868b3e1d449024e362204f40adaf633b">SoftmaxLayerTinyShapes</a>()</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;    {</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 128U, 10U, 2U },</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;    })</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;    {</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;    }</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;};</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;</div><div class="line"><a name="l00462"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes.xhtml">  462</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes.xhtml">SoftmaxLayerSmallShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;{</div><div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00465"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes.xhtml#ab9bc8c1b90f03d8280cd6ea5b02e0146">  465</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes.xhtml#ab9bc8c1b90f03d8280cd6ea5b02e0146">SoftmaxLayerSmallShapes</a>()</div><div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;    {</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 9<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 256U, 10U, 2U },</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 353U, 8U, 2U, 2U },</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 512U, 7U, 2U, 2U },</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 633U, 10U, 1U, 2U },</div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 781U, 5U, 2U },</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;    })</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;    {</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;    }</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;};</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;</div><div class="line"><a name="l00480"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes.xhtml">  480</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes.xhtml">SoftmaxLayerLargeShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;{</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00483"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes.xhtml#af55d2d91efcf6573341255c70cdb4840">  483</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes.xhtml#af55d2d91efcf6573341255c70cdb4840">SoftmaxLayerLargeShapes</a>()</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;    {</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1000<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 10<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 3989U, 10U, 2U },</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 4098U, 8U, 1U, 2U },</div><div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 7339U, 11U },</div><div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;    })</div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;    {</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;    }</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;};</div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;</div><div class="line"><a name="l00496"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes.xhtml">  496</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes.xhtml">SmallImageShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;{</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00499"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes.xhtml#ad796fe89c73b5e5e8b1800d894e0b2fe">  499</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes.xhtml#ad796fe89c73b5e5e8b1800d894e0b2fe">SmallImageShapes</a>()</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;    {</div><div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 640<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 480<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> },</div><div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 800U, 600U },</div><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 1200U, 800U }</div><div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;    })</div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;    {</div><div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;    }</div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;};</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;</div><div class="line"><a name="l00511"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes.xhtml">  511</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes.xhtml">LargeImageShapes</a> final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a></div><div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;{</div><div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00514"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes.xhtml#abe0fe955d4585a33d14e526d99374c22">  514</a></span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes.xhtml#abe0fe955d4585a33d14e526d99374c22">LargeImageShapes</a>()</div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;        : <a class="code" href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">ShapeDataset</a>(<span class="stringliteral">&quot;Shape&quot;</span>,</div><div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;    {</div><div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;        <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="l00518"></a><span class="lineno">  518</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 2560U, 1536U },</div><div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;                     <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>{ 3584U, 2048U }</div><div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;    })</div><div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    {</div><div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;    }</div><div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;};</div><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;} <span class="comment">// namespace datasets</span></div><div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes.xhtml">arm_compute::test::datasets::Tiny2DShapes</a></div><div class="ttdoc">Data set containing tiny 2D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source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121 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_broadcast_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_broadcast.xhtml">arm_compute::test::datasets::LargeShapesBroadcast</a></div><div class="ttdoc">Data set containing pairs of large tensor shapes that are broadcast compatible. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00260">ShapeDatasets.h:260</a></div></div>
122 <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#l00039">TensorShape.h:39</a></div></div>
123 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml">arm_compute::test::datasets::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#l00242">ShapeDatasets.h:242</a></div></div>
124 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_tensor_shift_shapes_xhtml_af09bea43374e4a36bb0291e133210ebc"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_tensor_shift_shapes.xhtml#af09bea43374e4a36bb0291e133210ebc">arm_compute::test::datasets::SmallDirectConvolutionTensorShiftShapes::SmallDirectConvolutionTensorShiftShapes</a></div><div class="ttdeci">SmallDirectConvolutionTensorShiftShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00396">ShapeDatasets.h:396</a></div></div>
125 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml">arm_compute::test::datasets::GlobalPoolingShapes</a></div><div class="ttdoc">Data set containing global pooling tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00430">ShapeDatasets.h:430</a></div></div>
126 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml">arm_compute::test::datasets::Large2DShapes</a></div><div class="ttdoc">Data set containing large 2D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00299">ShapeDatasets.h:299</a></div></div>
127 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny_direct_convolution_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny_direct_convolution_shapes.xhtml">arm_compute::test::datasets::TinyDirectConvolutionShapes</a></div><div class="ttdoc">Data set containing tiny tensor shapes for direct convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00359">ShapeDatasets.h:359</a></div></div>
128 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml">arm_compute::test::datasets::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#l00156">ShapeDatasets.h:156</a></div></div>
129 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes_xhtml_aad6e899d276c6cd937242b0d8a3d8632"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes.xhtml#aad6e899d276c6cd937242b0d8a3d8632">arm_compute::test::datasets::DepthConcatenateLayerShapes::DepthConcatenateLayerShapes</a></div><div class="ttdeci">DepthConcatenateLayerShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00418">ShapeDatasets.h:418</a></div></div>
130 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes_xhtml_ad796fe89c73b5e5e8b1800d894e0b2fe"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes.xhtml#ad796fe89c73b5e5e8b1800d894e0b2fe">arm_compute::test::datasets::SmallImageShapes::SmallImageShapes</a></div><div class="ttdeci">SmallImageShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00499">ShapeDatasets.h:499</a></div></div>
131 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes_xhtml_abe0fe955d4585a33d14e526d99374c22"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes.xhtml#abe0fe955d4585a33d14e526d99374c22">arm_compute::test::datasets::LargeImageShapes::LargeImageShapes</a></div><div class="ttdeci">LargeImageShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00514">ShapeDatasets.h:514</a></div></div>
132 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml">arm_compute::test::datasets::MediumShapes</a></div><div class="ttdoc">Data set containing medium tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00205">ShapeDatasets.h:205</a></div></div>
133 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_image_shapes.xhtml">arm_compute::test::datasets::SmallImageShapes</a></div><div class="ttdoc">Data set containing 2D tensor shapes relative to an image size. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00496">ShapeDatasets.h:496</a></div></div>
134 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes_xhtml_af55d2d91efcf6573341255c70cdb4840"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes.xhtml#af55d2d91efcf6573341255c70cdb4840">arm_compute::test::datasets::SoftmaxLayerLargeShapes::SoftmaxLayerLargeShapes</a></div><div class="ttdeci">SoftmaxLayerLargeShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00483">ShapeDatasets.h:483</a></div></div>
135 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_broadcast_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_broadcast.xhtml">arm_compute::test::datasets::SmallShapesBroadcast</a></div><div class="ttdoc">Data set containing pairs of small tensor shapes that are broadcast compatible. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00177">ShapeDatasets.h:177</a></div></div>
136 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large1_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large1_d_shapes.xhtml">arm_compute::test::datasets::Large1DShapes</a></div><div class="ttdoc">Data set containing large 1D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00284">ShapeDatasets.h:284</a></div></div>
137 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes_xhtml_aeca085a1350713335ede663fcbcfe5f0"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml#aeca085a1350713335ede663fcbcfe5f0">arm_compute::test::datasets::Large4DShapes::Large4DShapes</a></div><div class="ttdeci">Large4DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00332">ShapeDatasets.h:332</a></div></div>
138 <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_container_dataset.xhtml">arm_compute::test::framework::dataset::ContainerDataset</a></div><div class="ttdoc">Implementation of a dataset created from a container. </div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00058">ContainerDataset.h:58</a></div></div>
139 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes_xhtml_aa6c076c0bc51f626dc92e460434f39a0"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml#aa6c076c0bc51f626dc92e460434f39a0">arm_compute::test::datasets::Large3DShapes::Large3DShapes</a></div><div class="ttdeci">Large3DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00317">ShapeDatasets.h:317</a></div></div>
140 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes.xhtml">arm_compute::test::datasets::Medium2DShapes</a></div><div class="ttdoc">Data set containing medium 2D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00226">ShapeDatasets.h:226</a></div></div>
141 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes_xhtml_a11c11378d206920996fc787494e276fd"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml#a11c11378d206920996fc787494e276fd">arm_compute::test::datasets::Small4DShapes::Small4DShapes</a></div><div class="ttdeci">Small4DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00129">ShapeDatasets.h:129</a></div></div>
142 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes_xhtml_a38986b8a75356a9835ebec95c6d6af9c"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes.xhtml#a38986b8a75356a9835ebec95c6d6af9c">arm_compute::test::datasets::Tiny3DShapes::Tiny3DShapes</a></div><div class="ttdeci">Tiny3DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00086">ShapeDatasets.h:86</a></div></div>
143 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_deconvolution_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_deconvolution_shapes.xhtml">arm_compute::test::datasets::SmallDeconvolutionShapes</a></div><div class="ttdoc">Data set containing small tensor shapes for deconvolution. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00344">ShapeDatasets.h:344</a></div></div>
144 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes.xhtml">arm_compute::test::datasets::Small1DShapes</a></div><div class="ttdoc">Data set containing small 1D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00042">ShapeDatasets.h:42</a></div></div>
145 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes.xhtml">arm_compute::test::datasets::SoftmaxLayerTinyShapes</a></div><div class="ttdoc">Data set containing tiny softmax layer shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00448">ShapeDatasets.h:448</a></div></div>
146 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
147 <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1dataset_1_1_zip_dataset.xhtml">arm_compute::test::framework::dataset::ZipDataset</a></div><div class="ttdoc">Implementation of a dataset representing pairs of values of the input datasets. </div><div class="ttdef"><b>Definition:</b> <a href="_zip_dataset_8h_source.xhtml#l00047">ZipDataset.h:47</a></div></div>
148 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes_xhtml_a300721f77cb672f063411b357a23355f"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_medium2_d_shapes.xhtml#a300721f77cb672f063411b357a23355f">arm_compute::test::datasets::Medium2DShapes::Medium2DShapes</a></div><div class="ttdeci">Medium2DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00229">ShapeDatasets.h:229</a></div></div>
149 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_image_shapes.xhtml">arm_compute::test::datasets::LargeImageShapes</a></div><div class="ttdoc">Data set containing 2D tensor shapes relative to an image size. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00511">ShapeDatasets.h:511</a></div></div>
150 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml">arm_compute::test::datasets::Small3DShapes</a></div><div class="ttdoc">Data set containing small 3D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00097">ShapeDatasets.h:97</a></div></div>
151 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large3_d_shapes.xhtml">arm_compute::test::datasets::Large3DShapes</a></div><div class="ttdoc">Data set containing large 3D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00314">ShapeDatasets.h:314</a></div></div>
152 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny_shapes.xhtml">arm_compute::test::datasets::TinyShapes</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#l00142">ShapeDatasets.h:142</a></div></div>
153 <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>
154 <div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div>
155 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes_xhtml_af5e1a4f2a8c5ec30856fbe4f3efe4ee9"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml#af5e1a4f2a8c5ec30856fbe4f3efe4ee9">arm_compute::test::datasets::Small2DShapes::Small2DShapes</a></div><div class="ttdeci">Small2DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00071">ShapeDatasets.h:71</a></div></div>
156 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_tensor_shift_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_tensor_shift_shapes.xhtml">arm_compute::test::datasets::SmallDirectConvolutionTensorShiftShapes</a></div><div class="ttdoc">Data set containing small tensor shapes for direct convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00393">ShapeDatasets.h:393</a></div></div>
157 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_deconvolution_shapes_xhtml_af8507bf0b08d45579b3918f52e5a0987"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_deconvolution_shapes.xhtml#af8507bf0b08d45579b3918f52e5a0987">arm_compute::test::datasets::SmallDeconvolutionShapes::SmallDeconvolutionShapes</a></div><div class="ttdeci">SmallDeconvolutionShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00347">ShapeDatasets.h:347</a></div></div>
158 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes_xhtml_aec6e35680c5a27de50d771cc7a4ab568"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large2_d_shapes.xhtml#aec6e35680c5a27de50d771cc7a4ab568">arm_compute::test::datasets::Large2DShapes::Large2DShapes</a></div><div class="ttdeci">Large2DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00302">ShapeDatasets.h:302</a></div></div>
159 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml">arm_compute::test::datasets::SmallDirectConvolutionShapes</a></div><div class="ttdoc">Data set containing small tensor shapes for direct convolution. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00373">ShapeDatasets.h:373</a></div></div>
160 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_xhtml_a1b136718b9d6afe5e05c64730fd84531"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml#a1b136718b9d6afe5e05c64730fd84531">arm_compute::test::datasets::SmallShapes::SmallShapes</a></div><div class="ttdeci">SmallShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00159">ShapeDatasets.h:159</a></div></div>
161 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes_xhtml_aa2f05979de5779a1ea507dce1b721566"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">arm_compute::test::datasets::GlobalPoolingShapes::GlobalPoolingShapes</a></div><div class="ttdeci">GlobalPoolingShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00433">ShapeDatasets.h:433</a></div></div>
162 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny_shapes_xhtml_ae21a4d4e11fa55c9c98ebee0b0075e16"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny_shapes.xhtml#ae21a4d4e11fa55c9c98ebee0b0075e16">arm_compute::test::datasets::TinyShapes::TinyShapes</a></div><div class="ttdeci">TinyShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00145">ShapeDatasets.h:145</a></div></div>
163 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny3_d_shapes.xhtml">arm_compute::test::datasets::Tiny3DShapes</a></div><div class="ttdoc">Data set containing tiny 3D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00083">ShapeDatasets.h:83</a></div></div>
164 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small2_d_shapes.xhtml">arm_compute::test::datasets::Small2DShapes</a></div><div class="ttdoc">Data set containing small 2D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00068">ShapeDatasets.h:68</a></div></div>
165 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes_xhtml_a5a60abed7bfd8910fe5b4faafe6646fe"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes.xhtml#a5a60abed7bfd8910fe5b4faafe6646fe">arm_compute::test::datasets::Tiny4DShapes::Tiny4DShapes</a></div><div class="ttdeci">Tiny4DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00116">ShapeDatasets.h:116</a></div></div>
166 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_large_shapes.xhtml">arm_compute::test::datasets::SoftmaxLayerLargeShapes</a></div><div class="ttdoc">Data set containing large softmax layer shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00480">ShapeDatasets.h:480</a></div></div>
167 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_broadcast_xhtml_a36423f389d3779c338041d95532dcdb2"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_broadcast.xhtml#a36423f389d3779c338041d95532dcdb2">arm_compute::test::datasets::LargeShapesBroadcast::LargeShapesBroadcast</a></div><div class="ttdeci">LargeShapesBroadcast()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00263">ShapeDatasets.h:263</a></div></div>
168 <div class="ttc" id="namespacearm__compute_1_1test_1_1datasets_xhtml_ae6b0d1adb193102aad304e0765655a3a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1datasets.xhtml#ae6b0d1adb193102aad304e0765655a3a">arm_compute::test::datasets::ShapeDataset</a></div><div class="ttdeci">framework::dataset::ContainerDataset&lt; std::vector&lt; TensorShape &gt;&gt; ShapeDataset</div><div class="ttdoc">Parent type for all for shape datasets. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00039">ShapeDatasets.h:39</a></div></div>
169 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes_xhtml_aa259527d4665a07f78d7512a32fa1bd0"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_medium_shapes.xhtml#aa259527d4665a07f78d7512a32fa1bd0">arm_compute::test::datasets::MediumShapes::MediumShapes</a></div><div class="ttdeci">MediumShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00208">ShapeDatasets.h:208</a></div></div>
170 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small4_d_shapes.xhtml">arm_compute::test::datasets::Small4DShapes</a></div><div class="ttdoc">Data set containing small 4D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00126">ShapeDatasets.h:126</a></div></div>
171 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large4_d_shapes.xhtml">arm_compute::test::datasets::Large4DShapes</a></div><div class="ttdoc">Data set containing large 4D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00329">ShapeDatasets.h:329</a></div></div>
172 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes_xhtml_a1b3c1c17f4e9b0285fcd07cf58088005"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small1_d_shapes.xhtml#a1b3c1c17f4e9b0285fcd07cf58088005">arm_compute::test::datasets::Small1DShapes::Small1DShapes</a></div><div class="ttdeci">Small1DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00045">ShapeDatasets.h:45</a></div></div>
173 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes_xhtml_a231cfeceb3e607c02a8347adeb894eb9"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small3_d_shapes.xhtml#a231cfeceb3e607c02a8347adeb894eb9">arm_compute::test::datasets::Small3DShapes::Small3DShapes</a></div><div class="ttdeci">Small3DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00100">ShapeDatasets.h:100</a></div></div>
174 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny4_d_shapes.xhtml">arm_compute::test::datasets::Tiny4DShapes</a></div><div class="ttdoc">Data set containing tiny 4D tensor shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00113">ShapeDatasets.h:113</a></div></div>
175 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes_xhtml_a868b3e1d449024e362204f40adaf633b"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_tiny_shapes.xhtml#a868b3e1d449024e362204f40adaf633b">arm_compute::test::datasets::SoftmaxLayerTinyShapes::SoftmaxLayerTinyShapes</a></div><div class="ttdeci">SoftmaxLayerTinyShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00451">ShapeDatasets.h:451</a></div></div>
176 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes.xhtml">arm_compute::test::datasets::SoftmaxLayerSmallShapes</a></div><div class="ttdoc">Data set containing small softmax layer shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00462">ShapeDatasets.h:462</a></div></div>
177 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes_xhtml_ab9bc8c1b90f03d8280cd6ea5b02e0146"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_softmax_layer_small_shapes.xhtml#ab9bc8c1b90f03d8280cd6ea5b02e0146">arm_compute::test::datasets::SoftmaxLayerSmallShapes::SoftmaxLayerSmallShapes</a></div><div class="ttdeci">SoftmaxLayerSmallShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00465">ShapeDatasets.h:465</a></div></div>
178 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny_direct_convolution_shapes_xhtml_a531d06d710c7d07b823b604f2522b97f"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny_direct_convolution_shapes.xhtml#a531d06d710c7d07b823b604f2522b97f">arm_compute::test::datasets::TinyDirectConvolutionShapes::TinyDirectConvolutionShapes</a></div><div class="ttdeci">TinyDirectConvolutionShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00362">ShapeDatasets.h:362</a></div></div>
179 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_depth_concatenate_layer_shapes.xhtml">arm_compute::test::datasets::DepthConcatenateLayerShapes</a></div><div class="ttdoc">Data set containing 2D tensor shapes for DepthConcatenateLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00415">ShapeDatasets.h:415</a></div></div>
180 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large_shapes_xhtml_a9715c2e5fcad0e230de11c4f66ecf8a3"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large_shapes.xhtml#a9715c2e5fcad0e230de11c4f66ecf8a3">arm_compute::test::datasets::LargeShapes::LargeShapes</a></div><div class="ttdeci">LargeShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00245">ShapeDatasets.h:245</a></div></div>
181 <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div>
182 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes_xhtml_a53121b0a63214d4e76ab23b4cc121baa"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_tiny2_d_shapes.xhtml#a53121b0a63214d4e76ab23b4cc121baa">arm_compute::test::datasets::Tiny2DShapes::Tiny2DShapes</a></div><div class="ttdeci">Tiny2DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00058">ShapeDatasets.h:58</a></div></div>
183 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_large1_d_shapes_xhtml_af537cfa758eca0ba6254354cf29bb35a"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_large1_d_shapes.xhtml#af537cfa758eca0ba6254354cf29bb35a">arm_compute::test::datasets::Large1DShapes::Large1DShapes</a></div><div class="ttdeci">Large1DShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00287">ShapeDatasets.h:287</a></div></div>
184 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_broadcast_xhtml_ab0af0f82bef619049eff42006e7ca01a"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes_broadcast.xhtml#ab0af0f82bef619049eff42006e7ca01a">arm_compute::test::datasets::SmallShapesBroadcast::SmallShapesBroadcast</a></div><div class="ttdeci">SmallShapesBroadcast()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00180">ShapeDatasets.h:180</a></div></div>
185 <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes_xhtml_acb0c6c9450dcbca845c4eb86d08e4f5f"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_small_direct_convolution_shapes.xhtml#acb0c6c9450dcbca845c4eb86d08e4f5f">arm_compute::test::datasets::SmallDirectConvolutionShapes::SmallDirectConvolutionShapes</a></div><div class="ttdeci">SmallDirectConvolutionShapes()</div><div class="ttdef"><b>Definition:</b> <a href="_shape_datasets_8h_source.xhtml#l00376">ShapeDatasets.h:376</a></div></div>
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Domain: Machine Learning / ML Framework;