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 120 <a href="_c_l_2_winograd_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 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">#include &quot;<a class="code" href="_c_l_winograd_filter_transform_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_winograd_output_transform_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_shape_calculator_8h.xhtml">arm_compute/core/utils/misc/ShapeCalculator.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="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_allocator_8h.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_winograd_convolution_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_winograd_input_transform_8h.xhtml">arm_compute/runtime/CL/functions/CLWinogradInputTransform.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_accessor_8h.xhtml">tests/CL/CLAccessor.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_2_helper_8h.xhtml">tests/CL/Helper.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_padding_calculator_8h.xhtml">tests/PaddingCalculator.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/LargeConvolutionLayerDataset.h&quot;</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/ShapeDatasets.h&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/SmallConvolutionLayerDataset.h&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/WinogradInputTransformDataset.h&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &quot;tests/datasets/WinogradOutputTransformDataset.h&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>&quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2framework_2_macros_8h.xhtml">tests/framework/Macros.h</a>&quot;</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</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="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>&quot;</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &quot;tests/validation/fixtures/WinogradConvolutionLayerFixture.h&quot;</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;{</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">namespace </span>validation</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;<span class="keyword">namespace</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;constexpr AbsoluteTolerance&lt;float&gt; tolerance_f32(0.001f);</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;constexpr AbsoluteTolerance&lt;float&gt; tolerance_convolution_layer_f32(0.1f);</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml">arm_compute::misc::shape_calculator</a>;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(CL)</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(Winograd)</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(InputTransform)</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;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a273a18c5a1ff725a1f3ba44fab48f188">   67</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Validate, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::ALL, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                                                framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;InputInfo&quot;,{</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(53<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 21<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),     <span class="comment">// F16 not supported</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(53<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 21<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>), <span class="comment">// QASYMM8 not supported</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(53<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 21<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),     <span class="comment">// Kernel size not supported</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(53<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 21<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),     <span class="comment">// Strides not supported</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(53<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 33<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),         <span class="comment">// Padding needed</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(34<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 42<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),     <span class="comment">// Padding needed</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(31<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)         <span class="comment">// Padding needed</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                                                                                    }),</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputInfo&quot;</span>, {</div><div class="line"><a name="l00078"></a><span class="lin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a><span class="lineno">   90</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2, 2), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3, 3), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(53<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 21<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(2, 1, 1, 1), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>),</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2, 2), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3, 3), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(53<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 33<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 0, 1), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>),</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2, 2), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3, 3), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(34<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 42<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 0, 0), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>),</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2, 2), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3, 3), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(31<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 1, 1), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</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;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Expected&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span> })),</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;                                            <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;{</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(<span class="keywordtype">bool</span>(<a class="code" href="classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a502f9b46f6aac5562a420b945981e443">CLWinogradInputTransform::validate</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;output_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>)) == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;}</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="comment">// *INDENT-ON*</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9de169e4fa76234b647b2454f662fd22">  103</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9de169e4fa76234b647b2454f662fd22">CLWinogradInputTransformFixture</a> = WinogradInputTransformValidationFixture&lt;CLTensor, CLAccessor, CLWinogradInputTransform, float&gt;;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1c070c74e504059d7c7f78219cd5c3e1">  105</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Configuration, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">framework::dataset::concat</a>(datasets::SmallWinogradInputTransformDataset(), datasets::LargeWinogradInputTransformDataset()),</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                                                                           <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;               shape_in, winograd_info, data_layout, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</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;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape_out = <a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a04249f91ec2964d21a91bb7038821000">compute_winograd_input_transform_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(shape_in, 1, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>), winograd_info);</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <span class="comment">// Create tensors</span></div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> in  = create_tensor&lt;CLTensor&gt;(shape_in, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, 0, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), data_layout);</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> out = create_tensor&lt;CLTensor&gt;(shape_out, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>);</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(in.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(out.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_winograd_input_transform.xhtml">CLWinogradInputTransform</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aabf9a06c73c2e343234654ad65487cf8">winograd_input_transform</a>;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="comment">// Configure the function</span></div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    winograd_input_transform.configure(&amp;in, &amp;out, winograd_info);</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;}</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aef9276589f6bff9aafd338b52dcaa1f7">  126</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9de169e4fa76234b647b2454f662fd22">CLWinogradInputTransformFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">framework::DatasetMode::PRECOMMIT</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::SmallWinogradInputTransformDataset(),</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;                                                                                                                     <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;                                                                                                             <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })))</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;{</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;}</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a887aea07c914a0229495892d25389be7">  133</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9de169e4fa76234b647b2454f662fd22">CLWinogradInputTransformFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::LargeWinogradInputTransformDataset(),</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;                                                                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                                                                                                           <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })))</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;}</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// InputTransform</span></div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(FilterTransform)</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Validate, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputInfo&quot;</span>,{</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),     <span class="comment">// F16 not supported</span></div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>), <span class="comment">// QASYMM8 not supported</span></div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</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>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),     <span class="comment">// Kernel size not supported</span></div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),             <span class="comment">// Output tile not supported</span></div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),     <span class="comment">// valid</span></div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),    <span class="comment">// valid</span></div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 22<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)    <span class="comment">// valid</span></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;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputInfo&quot;</span>, {</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 1<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(22<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 37<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 36<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                                                                                    })),</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;WinogradInfo&quot;</span>, {</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                                                                                          <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>  <span class="comment">/* Not needed */</span> ),</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                                                                                          <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>  <span class="comment">/* Not needed */</span> ),</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;                                                                                          <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>  <span class="comment">/* Not needed */</span> ),</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;                                                                                          <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>  <span class="comment">/* Not needed */</span> ),</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;                                                                                          <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>  <span class="comment">/* Not needed */</span> ),</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                                                                                          <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>  <span class="comment">/* Not needed */</span> ),</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                                                                                          <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>  <span class="comment">/* Not needed */</span> )</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;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Expected&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span> })),</div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">  173</a></span>&#160;                                            <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">  174</a></span>&#160;{</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(<span class="keywordtype">bool</span>(<a class="code" href="classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a502f9b46f6aac5562a420b945981e443">CLWinogradFilterTransformKernel::validate</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;output_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>)) == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;}</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a054857a13b43100f3d48e98e7a4cb626">  180</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml">CLWinogradFilterTransform</a>        = <a class="code" href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml">CLSynthetizeFunctionWithZeroConstantBorder&lt;CLWinogradFilterTransformKernel, 0&gt;</a>;</div><div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a65565dedbc30c8ef560356c4a25e80dc">  181</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a65565dedbc30c8ef560356c4a25e80dc">CLWinogradFilterTransformFixture</a> = WinogradFilterTransformValidationFixture&lt;CLTensor, CLAccessor, CLWinogradFilterTransform, float&gt;;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aee2a24d28b5b24452c348a21f156c83b">  183</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Configuration, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">framework::dataset::concat</a>(datasets::Small3x3Shapes(), datasets::Large3x3Shapes()),</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;                                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputTile&quot;</span>, { <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>) })),</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                                                                           <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;               <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>, output_tile, data_layout, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;{</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>(output_tile, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>[0], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>[1]), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>() <span class="comment">/* Not needed */</span>, <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> <span class="comment">/* Not needed */</span>);</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39a7489f0c4ef5db0dfa9291073fe61">shape_b</a> = <a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a25e3751f07d4b2771a05d8d01a7f7620">compute_winograd_filter_transform_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>, 1, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>), winograd_info);</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    <span class="comment">// Create tensors</span></div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a> = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, 0, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), data_layout);</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a> = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39a7489f0c4ef5db0dfa9291073fe61">shape_b</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, 0, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), data_layout);</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(a.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(b.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</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;    <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml">CLWinogradFilterTransform</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad75aaeada9a22fadf0ba735bca1adcbc">winograd_filter_transform</a>;</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    winograd_filter_transform.configure(&amp;a, &amp;b, winograd_info);</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;}</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#aacee712d2df2d32d897c49954b2a2748">  205</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a65565dedbc30c8ef560356c4a25e80dc">CLWinogradFilterTransformFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>,</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">framework::dataset::concat</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">framework::dataset::concat</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::Small3x3Shapes(), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputTile&quot;</span>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2U, 2U))), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::Small3x3Shapes(),</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;                                                                                             <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputTile&quot;</span>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4U, 4U)))),</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;                                                                  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::Small5x5Shapes(), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputTile&quot;</span>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4U, 4U)))),</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;                                       <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;                               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })))</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;{</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;}</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac88e837292234e114e1ff61a9f59168e">  216</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a65565dedbc30c8ef560356c4a25e80dc">CLWinogradFilterTransformFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">framework::dataset::concat</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">framework::dataset::concat</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::Large3x3Shapes(), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputTile&quot;</span>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2U, 2U))), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::Large3x3Shapes(),</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;                                                                                             <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputTile&quot;</span>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4U, 4U)))),</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                                                                  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::Large5x5Shapes(), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;OutputTile&quot;</span>, <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4U, 4U)))),</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                                       <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataLayout&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> })),</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;                               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })))</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;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;}</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// FilterTransform</span></div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(OutputTransform)</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Validate, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputInfo&quot;</span>,{</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 49<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),      <span class="comment">// F16 not supported</span></div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 49<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),  <span class="comment">// QASYMM8 not supported</span></div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 49<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),      <span class="comment">// Kernel size not supported</span></div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 49<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),      <span class="comment">// Valid</span></div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(13<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 108<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),      <span class="comment">// Padding needed</span></div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 20<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),        <span class="comment">// Valid</span></div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 20<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),        <span class="comment">// Wrong WinogradInfo</span></div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 36<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),       <span class="comment">// Valid</span></div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 256<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)        <span class="comment">// Wrong number of batches</span></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;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;BiasInfo&quot;</span>, {</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>),</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(512<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1,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="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 23<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 1, 1), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>),</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 10<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 1, 1), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>),</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 10<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 0, 0), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>),</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 1, 1), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>),</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;                                                                                        <a class="code" href="structarm__compute_1_1_winograd_info.xhtml">WinogradInfo</a>(<a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_size2_d.xhtml">Size2D</a>(64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 64<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>(1, 1, 1, 1), <a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;                                                                                    })),</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;Expected&quot;</span>, { <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">true</span>, <span class="keyword">false</span> })),</div><div class="line"><a name="l00278"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a43c38c81ff3058e36ceb9904a944d1ea">  278</a></span>&#160;                                            <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a43c38c81ff3058e36ceb9904a944d1ea">bias_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;{</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(<span class="keywordtype">bool</span>(<a class="code" href="classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a840dd4bb19a6922d2fc510106b8721e8">CLWinogradOutputTransformKernel::validate</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;bias_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;output_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">winograd_info</a>)) == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;}</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;<span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2dd717bab37b161a6c1e63a76549d024">  285</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml">CLWinogradOutputTransform</a>        = <a class="code" href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml">CLSynthetizeFunctionWithZeroConstantBorder&lt;CLWinogradOutputTransformKernel, 0&gt;</a>;</div><div class="line"><a name="l00286"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9786317f3c3123dc0d609fd3e791d220">  286</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9786317f3c3123dc0d609fd3e791d220">CLWinogradOutputTransformFixture</a> = WinogradOutputTransformValidationFixture&lt;CLTensor, CLAccessor, CLWinogradOutputTransform, float&gt;;</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;</div><div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8bc6505e8a48da25d9f9c24c2a99d17a">  288</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Configuration, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">framework::dataset::concat</a>(datasets::SmallWinogradOutputTransformDataset(), datasets::LargeWinogradOutputTransformDataset()),</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;                                                                   <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;               <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>, winograd_info, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;{</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39a7489f0c4ef5db0dfa9291073fe61">shape_b</a> = <a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5699c316d27b41f0790827791e88ae26">compute_winograd_output_transform_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>, 1, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>), winograd_info);</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    <span class="comment">// Create tensors</span></div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a> = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">shape_a</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>);</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a> = create_tensor&lt;CLTensor&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39a7489f0c4ef5db0dfa9291073fe61">shape_b</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>);</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(a.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(b.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml">CLWinogradOutputTransform</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8f9f87c1fce2adf686c6afb5b4da3ce1">winograd_output_transform</a>;</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    winograd_output_transform.configure(&amp;a, <span class="keyword">nullptr</span>, &amp;b, winograd_info);</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;}</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;</div><div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad82770ec8ae1c4a6b5f61c26a9944f6a">  306</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9786317f3c3123dc0d609fd3e791d220">CLWinogradOutputTransformFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::SmallWinogradOutputTransformDataset(), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })))</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;{</div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;}</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af7406210a48b6129edeaa92a43bd1e8f">  312</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9786317f3c3123dc0d609fd3e791d220">CLWinogradOutputTransformFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::LargeWinogradOutputTransformDataset(), <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })))</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;{</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_f32);</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;}</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// OutputTransform</span></div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;</div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(ConvolutionLayer)</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;<span class="comment">// *INDENT-OFF*</span></div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;<span class="comment">// clang-format off</span></div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">DATA_TEST_CASE</a>(Validate, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">zip</a>(</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;InputInfo&quot;</span>, {</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 31<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>),     <span class="comment">// FP16 not supported</span></div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(17<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 31<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),     <span class="comment">// Datatype mismatch</span></div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(23<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 5<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>), <span class="comment">// Stride y not supported</span></div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 16<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 8<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),     <span class="comment">// Padding needed</span></div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(33<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 27<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 7<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 4<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>)  <span class="comment">// Kernel size not supported</span></div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;                                                                                      }),</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;                                                <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;WeightsInfo&quot;</span>, {</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 2<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 19<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>), 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>),</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;                                                                                        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a>, 3<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e5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4a944d1ea">bias_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">output_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>)</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;{</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(<span class="keywordtype">bool</span>(<a class="code" href="classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a275b8699086b8739549040b03a4f30af">CLWinogradConvolutionLayer::validate</a>(&amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a>.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;weights_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;bias_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), &amp;output_info.clone()-&gt;set_is_resizable(<span class="keyword">false</span>), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">conv_info</a>)) == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">expected</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;}</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;<span class="comment">// clang-format on</span></div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;<span class="comment">// *INDENT-ON*</span></div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;</div><div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">  367</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">CLWinogradConvolutionLayerFastMathFixture</a> = WinogradConvolutionLayerFastMathValidationFixture&lt;CLTensor, CLAccessor, CLWinogradConvolutionLayer, float&gt;;</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(Conv3x3)</div><div class="line"><a name="l00369"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a233edcdeb8756481b8d91f7728c70789">  369</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">CLWinogradConvolutionLayerFastMathFixture</a>, framework::<a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">DatasetMode</a>::PRECOMMIT,</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::SmallWinogradConvolutionLayer3x3Dataset(),</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;                                       framework::dataset::<a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">make</a>(&quot;<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&quot;, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;                               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationLayerInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>() })))</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;{</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_convolution_layer_f32);</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;}</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div><div class="line"><a name="l00378"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a53f261da82bbfe025b3eda2e3286abcd">  378</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">CLWinogradConvolutionLayerFastMathFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::LargeWinogradConvolutionLayer3x3Dataset(),</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;                                       <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;                               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationLayerInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>() })))</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;{</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_convolution_layer_f32);</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;}</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// Conv3x3</span></div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;<a class="code" href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a>(Conv5x5)</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunSmall, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">CLWinogradConvolutionLayerFastMathFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">framework::DatasetMode::PRECOMMIT</a>,</div><div class="line"><a name="l00390"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6be73592ec9551093376571488cb4fd2">  390</a></span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::SmallWinogradConvolutionLayer5x5Dataset(),</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;                                       <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;                               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationLayerInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>() })))</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;{</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_convolution_layer_f32);</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;}</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</div><div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a025fb3e3793914934a99af68ee5da7d5">  398</a></span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">FIXTURE_DATA_TEST_CASE</a>(RunLarge, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">CLWinogradConvolutionLayerFastMathFixture</a>, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>,</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;                       <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">combine</a>(datasets::LargeWinogradConvolutionLayer5x5Dataset(),</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;                                       <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;DataType&quot;</span>, { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a> })),</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;                               <a class="code" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>(<span class="stringliteral">&quot;ActivationLayerInfo&quot;</span>, { <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>() })))</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;{</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    <span class="comment">// Validate output</span></div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a>(<a class="code" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>(_target), _reference, tolerance_convolution_layer_f32);</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;}</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// Conv5x5</span></div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// ConvolutionLayer</span></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;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// Winograd</span></div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">TEST_SUITE_END</a>() <span class="comment">// CL</span></div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;} <span class="comment">// namespace arm_compute</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#l00039">TensorShape.h:39</a></div></div>
 121 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_aabf9a06c73c2e343234654ad65487cf8"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aabf9a06c73c2e343234654ad65487cf8">arm_compute::test::validation::reference::winograd_input_transform</a></div><div class="ttdeci">template SimpleTensor&lt; float &gt; winograd_input_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)</div></div>
 122 <div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml_a04249f91ec2964d21a91bb7038821000"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a04249f91ec2964d21a91bb7038821000">arm_compute::misc::shape_calculator::compute_winograd_input_transform_shape</a></div><div class="ttdeci">TensorShape compute_winograd_input_transform_shape(const ITensorInfo &amp;input, const WinogradInfo &amp;winograd_info)</div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00246">ShapeCalculator.h:246</a></div></div>
 123 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aaee6555ace43b03173844b1a228a3fc3"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const override</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00287">TensorInfo.h:287</a></div></div>
 124 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aac40b7097f2bda9274ae07fa33d15a79"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">arm_compute::test::validation::a</a></div><div class="ttdeci">CLTensor a</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00121">GEMM.cpp:121</a></div></div>
 125 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7cb842ebfe255726066039853a4322f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7cb842ebfe255726066039853a4322f0">arm_compute::test::validation::weights_info</a></div><div class="ttdeci">weights_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
 126 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9de169e4fa76234b647b2454f662fd22"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9de169e4fa76234b647b2454f662fd22">arm_compute::test::validation::CLWinogradInputTransformFixture</a></div><div class="ttdeci">WinogradInputTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradInputTransform, float &gt; CLWinogradInputTransformFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00103">Winograd.cpp:103</a></div></div>
 127 <div class="ttc" id="_padding_calculator_8h_xhtml"><div class="ttname"><a href="_padding_calculator_8h.xhtml">PaddingCalculator.h</a></div></div>
 128 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa6e67bddae371a5731f6d4002e787299"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6e67bddae371a5731f6d4002e787299">arm_compute::test::validation::expected</a></div><div class="ttdeci">expected</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00174">Winograd.cpp:174</a></div></div>
 129 <div class="ttc" id="classarm__compute_1_1_c_l_winograd_filter_transform_kernel_xhtml_a502f9b46f6aac5562a420b945981e443"><div class="ttname"><a href="classarm__compute_1_1_c_l_winograd_filter_transform_kernel.xhtml#a502f9b46f6aac5562a420b945981e443">arm_compute::CLWinogradFilterTransformKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &amp;winograd_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLWinogradFilterTransfor...</div></div>
 130 <div class="ttc" id="structarm__compute_1_1_winograd_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_winograd_info.xhtml">arm_compute::WinogradInfo</a></div><div class="ttdoc">Winograd information. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01140">Types.h:1140</a></div></div>
 131 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9786317f3c3123dc0d609fd3e791d220"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9786317f3c3123dc0d609fd3e791d220">arm_compute::test::validation::CLWinogradOutputTransformFixture</a></div><div class="ttdeci">WinogradOutputTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradOutputTransform, float &gt; CLWinogradOutputTransformFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00286">Winograd.cpp:286</a></div></div>
 132 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a65565dedbc30c8ef560356c4a25e80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a65565dedbc30c8ef560356c4a25e80dc">arm_compute::test::validation::CLWinogradFilterTransformFixture</a></div><div class="ttdeci">WinogradFilterTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradFilterTransform, float &gt; CLWinogradFilterTransformFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00181">Winograd.cpp:181</a></div></div>
 133 <div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
 134 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab39a7489f0c4ef5db0dfa9291073fe61"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab39a7489f0c4ef5db0dfa9291073fe61">arm_compute::test::validation::shape_b</a></div><div class="ttdeci">shape_b</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00115">GEMM.cpp:115</a></div></div>
 135 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a8f9f87c1fce2adf686c6afb5b4da3ce1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a8f9f87c1fce2adf686c6afb5b4da3ce1">arm_compute::test::validation::reference::winograd_output_transform</a></div><div class="ttdeci">template SimpleTensor&lt; float &gt; winograd_output_transform(const SimpleTensor&lt; float &gt; &amp;in, const SimpleTensor&lt; float &gt; &amp;b, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)</div></div>
 136 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
 137 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a809d18ccde99d938a68cb90ef53aa749"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a809d18ccde99d938a68cb90ef53aa749">arm_compute::test::validation::winograd_info</a></div><div class="ttdeci">winograd_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00173">Winograd.cpp:173</a></div></div>
 138 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a25cae7166733a51d1354f3f395652782"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a25cae7166733a51d1354f3f395652782">arm_compute::test::validation::output_info</a></div><div class="ttdeci">output_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00173">Winograd.cpp:173</a></div></div>
 139 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4aa7763717f234371acad168e9ed5e5f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">arm_compute::test::validation::CLWinogradConvolutionLayerFastMathFixture</a></div><div class="ttdeci">WinogradConvolutionLayerFastMathValidationFixture&lt; CLTensor, CLAccessor, CLWinogradConvolutionLayer, float &gt; CLWinogradConvolutionLayerFastMathFixture</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00367">Winograd.cpp:367</a></div></div>
 140 <div class="ttc" id="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_synthetize_function_with_zero_constant_border.xhtml">arm_compute::test::CLSynthetizeFunctionWithZeroConstantBorder</a></div><div class="ttdoc">As above but this also setups a Zero border on the input tensor of the specified bordersize. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_helper_8h_source.xhtml#l00054">Helper.h:54</a></div></div>
 141 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a352791fb808d42a82ad70df5efa3508b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">arm_compute::test::framework::dataset::make</a></div><div class="ttdeci">std::enable_if&lt; is_container&lt; T &gt;::value, ContainerDataset&lt; T &gt; &gt;::type make(std::string name, T &amp;&amp;values)</div><div class="ttdoc">Helper function to create a ContainerDataset. </div><div class="ttdef"><b>Definition:</b> <a href="_container_dataset_8h_source.xhtml#l00160">ContainerDataset.h:160</a></div></div>
 142 <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a97de03c31e0ca04be6960e2e3ffdca95"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&amp;#39;s metadata. </div></div>
 143 <div class="ttc" id="_c_l_winograd_filter_transform_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_winograd_filter_transform_kernel_8h.xhtml">CLWinogradFilterTransformKernel.h</a></div></div>
 144 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00809">Types.h:809</a></div></div>
 145 <div class="ttc" id="_c_l_accessor_8h_xhtml"><div class="ttname"><a href="_c_l_accessor_8h.xhtml">CLAccessor.h</a></div></div>
 146 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfab829534c7b40afdbd3c3ffea05202a97">arm_compute::test::framework::DatasetMode::PRECOMMIT</a></div></div>
 147 <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>
 148 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div>
 149 <div class="ttc" id="classarm__compute_1_1_c_l_winograd_output_transform_kernel_xhtml_a840dd4bb19a6922d2fc510106b8721e8"><div class="ttname"><a href="classarm__compute_1_1_c_l_winograd_output_transform_kernel.xhtml#a840dd4bb19a6922d2fc510106b8721e8">arm_compute::CLWinogradOutputTransformKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const WinogradInfo &amp;winograd_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLWinogradOutputTransfor...</div></div>
 150 <div class="ttc" id="tests_2framework_2_macros_8h_xhtml_acd09bed517e43d28823e69494f259835"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml#acd09bed517e43d28823e69494f259835">TEST_SUITE</a></div><div class="ttdeci">#define TEST_SUITE(SUITE_NAME)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2framework_2_macros_8h_source.xhtml#l00034">Macros.h:34</a></div></div>
 151 <div class="ttc" id="_c_l_tensor_allocator_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_allocator_8h.xhtml">CLTensorAllocator.h</a></div></div>
 152 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
 153 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6b5e9878192726548c5546a4cbc175ab"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6b5e9878192726548c5546a4cbc175ab">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE</a></div><div class="ttdeci">FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00083">AbsoluteDifference.cpp:83</a></div></div>
 154 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6813132c943295888972727864ea5c2f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">arm_compute::test::validation::validate</a></div><div class="ttdeci">validate(dst.info() -&gt;valid_region(), dst_valid_region)</div></div>
 155 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cf">arm_compute::test::framework::DatasetMode</a></div><div class="ttdeci">DatasetMode</div><div class="ttdoc">Possible dataset modes. </div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00040">DatasetModes.h:40</a></div></div>
 156 <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>
 157 <div class="ttc" id="_datasets_8h_xhtml"><div class="ttname"><a href="_datasets_8h.xhtml">Datasets.h</a></div></div>
 158 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae008e90eb6906fa3526213bc860f6cc5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">arm_compute::test::validation::input_info</a></div><div class="ttdeci">input_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00173">Winograd.cpp:173</a></div></div>
 159 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number </div></div>
 160 <div class="ttc" id="classarm__compute_1_1test_1_1_c_l_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">arm_compute::test::CLAccessor</a></div><div class="ttdoc">Accessor implementation for CLTensor objects. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00035">CLAccessor.h:35</a></div></div>
 161 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a43c38c81ff3058e36ceb9904a944d1ea"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a43c38c81ff3058e36ceb9904a944d1ea">arm_compute::test::validation::bias_info</a></div><div class="ttdeci">bias_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00278">Winograd.cpp:278</a></div></div>
 162 <div class="ttc" id="_shape_calculator_8h_xhtml"><div class="ttname"><a href="_shape_calculator_8h.xhtml">ShapeCalculator.h</a></div></div>
 163 <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00571">Types.h:571</a></div></div>
 164 <div class="ttc" id="classarm__compute_1_1_c_l_winograd_input_transform_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_winograd_input_transform.xhtml">arm_compute::CLWinogradInputTransform</a></div><div class="ttdoc">Basic function to execute a CLWinogradInputTransformKernel. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_winograd_input_transform_8h_source.xhtml#l00037">CLWinogradInputTransform.h:37</a></div></div>
 165 <div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml_a25e3751f07d4b2771a05d8d01a7f7620"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a25e3751f07d4b2771a05d8d01a7f7620">arm_compute::misc::shape_calculator::compute_winograd_filter_transform_shape</a></div><div class="ttdeci">TensorShape compute_winograd_filter_transform_shape(const ITensorInfo &amp;input, const WinogradInfo &amp;winograd_info)</div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00231">ShapeCalculator.h:231</a></div></div>
 166 <div class="ttc" id="tests_2framework_2_macros_8h_xhtml"><div class="ttname"><a href="tests_2framework_2_macros_8h.xhtml">Macros.h</a></div></div>
 167 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acbf8f8a6dd185de04c1981c57a8963cf"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acbf8f8a6dd185de04c1981c57a8963cf">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00360">Winograd.cpp:360</a></div></div>
 168 <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">arm_compute::DataLayout::NCHW</a></div><div class="ttdoc">Num samples, channels, height, width. </div></div>
 169 <div class="ttc" id="_c_l_winograd_convolution_layer_8h_xhtml"><div class="ttname"><a href="_c_l_winograd_convolution_layer_8h.xhtml">CLWinogradConvolutionLayer.h</a></div></div>
 170 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a35d3ab6d678579401ec6efeccd788c3b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a35d3ab6d678579401ec6efeccd788c3b">arm_compute::test::validation::DATA_TEST_CASE</a></div><div class="ttdeci">DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00060">AbsoluteDifference.cpp:60</a></div></div>
 171 <div class="ttc" id="_c_l_winograd_input_transform_8h_xhtml"><div class="ttname"><a href="_c_l_winograd_input_transform_8h.xhtml">CLWinogradInputTransform.h</a></div></div>
 172 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">arm_compute::test::framework::DatasetMode::NIGHTLY</a></div></div>
 173 <div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml_a5699c316d27b41f0790827791e88ae26"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#a5699c316d27b41f0790827791e88ae26">arm_compute::misc::shape_calculator::compute_winograd_output_transform_shape</a></div><div class="ttdeci">TensorShape compute_winograd_output_transform_shape(const ITensorInfo &amp;input, const WinogradInfo &amp;winograd_info)</div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00268">ShapeCalculator.h:268</a></div></div>
 174 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a38fe4b20a05bbaa1c844f3d7a19791ae"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a38fe4b20a05bbaa1c844f3d7a19791ae">arm_compute::test::validation::TEST_SUITE_END</a></div><div class="ttdeci">TEST_SUITE_END() DATA_TEST_CASE(Configuration</div></div>
 175 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af3c1de77fd86df539395c75c17ec230e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">arm_compute::test::validation::ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)</div></div>
 176 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">arm_compute::test::framework::DatasetMode::ALL</a></div></div>
 177 <div class="ttc" id="classarm__compute_1_1_size2_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml">arm_compute::Size2D</a></div><div class="ttdoc">Class for specifying the size of an image or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00034">Size2D.h:34</a></div></div>
 178 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ad75aaeada9a22fadf0ba735bca1adcbc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad75aaeada9a22fadf0ba735bca1adcbc">arm_compute::test::validation::reference::winograd_filter_transform</a></div><div class="ttdeci">template SimpleTensor&lt; float &gt; winograd_filter_transform(const SimpleTensor&lt; float &gt; &amp;in, const TensorShape &amp;output_shape, const WinogradInfo &amp;winograd_info)</div></div>
 179 <div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div>
 180 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad2b4e88e166416d979a049064877b2ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad2b4e88e166416d979a049064877b2ca">arm_compute::test::validation::combine</a></div><div class="ttdeci">combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make(&quot;DataType&quot;,{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make(&quot;filter_size&quot;,{5}))</div></div>
 181 <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
 182 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div>
 183 <div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml">arm_compute::misc::shape_calculator</a></div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00037">ShapeCalculator.h:37</a></div></div>
 184 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2c387216b8389a6069b2e5205bc03a9"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2c387216b8389a6069b2e5205bc03a9">arm_compute::test::validation::shape_a</a></div><div class="ttdeci">shape_a</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00115">GEMM.cpp:115</a></div></div>
 185 <div class="ttc" id="classarm__compute_1_1_c_l_winograd_input_transform_xhtml_a502f9b46f6aac5562a420b945981e443"><div class="ttname"><a href="classarm__compute_1_1_c_l_winograd_input_transform.xhtml#a502f9b46f6aac5562a420b945981e443">arm_compute::CLWinogradInputTransform::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const WinogradInfo &amp;winograd_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLWinogradInputTransform...</div></div>
 186 <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_1_1dataset_xhtml_a20b2c46a6ccea85acf64c599a68251d7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a20b2c46a6ccea85acf64c599a68251d7">arm_compute::test::framework::dataset::concat</a></div><div class="ttdeci">JoinDataset&lt; T, U &gt; concat(T &amp;&amp;dataset1, U &amp;&amp;dataset2)</div><div class="ttdoc">Helper function to create a JoinDataset. </div><div class="ttdef"><b>Definition:</b> <a href="_join_dataset_8h_source.xhtml#l00160">JoinDataset.h:160</a></div></div>
 187 <div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00127">Types.h:127</a></div></div>
 188 <div class="ttc" id="_c_l_winograd_output_transform_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_winograd_output_transform_kernel_8h.xhtml">CLWinogradOutputTransformKernel.h</a></div></div>
 189 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7b8004eef325a40dd43eb80755610fff"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">arm_compute::test::validation::b</a></div><div class="ttdeci">CLTensor b</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00122">GEMM.cpp:122</a></div></div>
 190 <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
 191 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
 192 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af2041055b792c65741e6df32abd58177"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af2041055b792c65741e6df32abd58177">arm_compute::test::validation::zip</a></div><div class="ttdeci">zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32)}), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32)})), framework::dataset::make(&quot;WinogradInfo&quot;,{WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW)})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, true, true, true}))</div></div>
 193 <div class="ttc" id="classarm__compute_1_1_c_l_winograd_convolution_layer_xhtml_a275b8699086b8739549040b03a4f30af"><div class="ttname"><a href="classarm__compute_1_1_c_l_winograd_convolution_layer.xhtml#a275b8699086b8739549040b03a4f30af">arm_compute::CLWinogradConvolutionLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &amp;conv_info, const ActivationLayerInfo &amp;act_info=ActivationLayerInfo(), bool enable_fast_math=false)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLWinogradConvolutionLay...</div></div>
 194 <div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div>
 195 <div class="ttc" id="_c_l_2_helper_8h_xhtml"><div class="ttname"><a href="_c_l_2_helper_8h.xhtml">Helper.h</a></div></div>
 196 <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00039">CLTensor.h:39</a></div></div>
 197 </div><!-- fragment --></div><!-- contents -->
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 202     <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="dir_f7024513cd67abef53e86ee9382ac5ce.xhtml">CL</a></li><li class="navelem"><a class="el" href="_c_l_2_winograd_8cpp.xhtml">Winograd.cpp</a></li>
 203     <li class="footer">Generated on Wed May 23 2018 11:36:38 for Compute Library by
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 205     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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