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<div class="textblock"><code>#include &quot;<a class="el" href="_c_l_winograd_filter_transform_kernel_8h_source.xhtml">arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_c_l_winograd_output_transform_kernel_8h_source.xhtml">arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml">arm_compute/core/Helpers.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_shape_calculator_8h_source.xhtml">arm_compute/core/utils/misc/ShapeCalculator.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_c_l_tensor_8h_source.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_c_l_tensor_allocator_8h_source.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_c_l_winograd_convolution_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_c_l_winograd_input_transform_8h_source.xhtml">arm_compute/runtime/CL/functions/CLWinogradInputTransform.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_c_l_accessor_8h_source.xhtml">tests/CL/CLAccessor.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_c_l_2_helper_8h_source.xhtml">tests/CL/Helper.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_padding_calculator_8h_source.xhtml">tests/PaddingCalculator.h</a>&quot;</code><br />
<code>#include &quot;tests/datasets/LargeConvolutionLayerDataset.h&quot;</code><br />
<code>#include &quot;tests/datasets/ShapeDatasets.h&quot;</code><br />
<code>#include &quot;tests/datasets/SmallConvolutionLayerDataset.h&quot;</code><br />
<code>#include &quot;tests/datasets/WinogradInputTransformDataset.h&quot;</code><br />
<code>#include &quot;tests/datasets/WinogradOutputTransformDataset.h&quot;</code><br />
<code>#include &quot;<a class="el" href="_asserts_8h_source.xhtml">tests/framework/Asserts.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="tests_2framework_2_macros_8h_source.xhtml">tests/framework/Macros.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_validation_8h_source.xhtml">tests/validation/Validation.h</a>&quot;</code><br />
<code>#include &quot;tests/validation/fixtures/WinogradConvolutionLayerFixture.h&quot;</code><br />
</div>
<p><a href="_c_l_2_winograd_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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<tr class="memitem:ac5006f4ae83f95b92ff1d606c7f0e547"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac5006f4ae83f95b92ff1d606c7f0e547">CLWinogradInputTransformFixtureFP32</a> = WinogradInputTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradInputTransform, float &gt;</td></tr>
<tr class="separator:ac5006f4ae83f95b92ff1d606c7f0e547"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a74b319af2169434f5ac911f04e7561af"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a74b319af2169434f5ac911f04e7561af">CLWinogradInputTransformFixtureFP16</a> = WinogradInputTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradInputTransform, half &gt;</td></tr>
<tr class="separator:a74b319af2169434f5ac911f04e7561af"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a054857a13b43100f3d48e98e7a4cb626"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a054857a13b43100f3d48e98e7a4cb626">CLWinogradFilterTransform</a> = CLSynthetizeFunctionWithZeroConstantBorder&lt; CLWinogradFilterTransformKernel, 0 &gt;</td></tr>
<tr class="separator:a054857a13b43100f3d48e98e7a4cb626"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa42123491a5d11058a2029923a46a526"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa42123491a5d11058a2029923a46a526">CLWinogradFilterTransformFixtureFP32</a> = WinogradFilterTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradFilterTransform, float &gt;</td></tr>
<tr class="separator:aa42123491a5d11058a2029923a46a526"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0f2f853980da09ef049d1e04764ba325"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0f2f853980da09ef049d1e04764ba325">CLWinogradFilterTransformFixtureFP16</a> = WinogradFilterTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradFilterTransform, half &gt;</td></tr>
<tr class="separator:a0f2f853980da09ef049d1e04764ba325"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2dd717bab37b161a6c1e63a76549d024"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2dd717bab37b161a6c1e63a76549d024">CLWinogradOutputTransform</a> = CLSynthetizeFunctionWithZeroConstantBorder&lt; CLWinogradOutputTransformKernel, 0 &gt;</td></tr>
<tr class="separator:a2dd717bab37b161a6c1e63a76549d024"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa0c30cd627b86f144191c17519e3ba2a"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa0c30cd627b86f144191c17519e3ba2a">CLWinogradOutputTransformFixtureFP32</a> = WinogradOutputTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradOutputTransform, float &gt;</td></tr>
<tr class="separator:aa0c30cd627b86f144191c17519e3ba2a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aad28e54b6547276f5fc9b9a628e3c830"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aad28e54b6547276f5fc9b9a628e3c830">CLWinogradOutputTransformFixtureFP16</a> = WinogradOutputTransformValidationFixture&lt; CLTensor, CLAccessor, CLWinogradOutputTransform, half &gt;</td></tr>
<tr class="separator:aad28e54b6547276f5fc9b9a628e3c830"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4aa7763717f234371acad168e9ed5e5f"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4aa7763717f234371acad168e9ed5e5f">CLWinogradConvolutionLayerFastMathFixture</a> = WinogradConvolutionLayerFastMathValidationFixture&lt; CLTensor, CLAccessor, CLWinogradConvolutionLayer, float &gt;</td></tr>
<tr class="separator:a4aa7763717f234371acad168e9ed5e5f"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Functions</h2></td></tr>
<tr class="memitem:aefe657be35a4c7ad0cd478735e9ced36"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aefe657be35a4c7ad0cd478735e9ced36">DATA_TEST_CASE</a> (Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 21U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(53U, 33U, 4U), 1, DataType::F32), TensorInfo(TensorShape(34U, 42U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(31U, 37U, 37U), 1, DataType::F32) }), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(5U, 1U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(4U, 442U, 16U), 1, DataType::F32), TensorInfo(TensorShape(7U, 320U, 16U, 3U), 1, DataType::F32), TensorInfo(TensorShape(37U, 304U, 16U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 21U), PadStrideInfo(2, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(53U, 33U), PadStrideInfo(1, 1, 0, 1), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(34U, 42U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(2, 2), Size2D(3, 3), Size2D(31U, 37U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false, false, false })), input_info, output_info, winograd_info, expected)</td></tr>
<tr class="separator:aefe657be35a4c7ad0cd478735e9ced36"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a77f364f7181fc652389116e6fada0391"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a77f364f7181fc652389116e6fada0391">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:a77f364f7181fc652389116e6fada0391"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0c74bfd3b6fcde5b0b065fa5608b7a8c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0c74bfd3b6fcde5b0b065fa5608b7a8c">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:a0c74bfd3b6fcde5b0b065fa5608b7a8c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac2ed31007ae463a3cec24a581f3651f6"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">TEST_SUITE_END</a> () const auto Int16QuantizedActivationFunctionsDataset = ActivationValidationQuantizedFixture&lt;CLTensor, CLAccessor, CLActivationLayer, T&gt;</td></tr>
<tr class="memdesc:ac2ed31007ae463a3cec24a581f3651f6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Input data sets. <a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ed31007ae463a3cec24a581f3651f6">More...</a><br /></td></tr>
<tr class="separator:ac2ed31007ae463a3cec24a581f3651f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9bee4ca70ee3abf47597a70b6ca62c87"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9bee4ca70ee3abf47597a70b6ca62c87">combine</a> (combine(SmallWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:a9bee4ca70ee3abf47597a70b6ca62c87"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae192d52538c7d8489bbea389574efdae"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae192d52538c7d8489bbea389574efdae">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:ae192d52538c7d8489bbea389574efdae"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8d0be8bc8237790230e8f4f95c413e63"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8d0be8bc8237790230e8f4f95c413e63">combine</a> (combine(SmallWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:a8d0be8bc8237790230e8f4f95c413e63"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9b977f1cf3826e736ee3aa61cc3edb5d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9b977f1cf3826e736ee3aa61cc3edb5d">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradInputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:a9b977f1cf3826e736ee3aa61cc3edb5d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af876d6357d27427467dc9ed1ce0e24f1"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af876d6357d27427467dc9ed1ce0e24f1">combine</a> (combine(SmallWinogradInputTransformDatasetNHWC_FP32, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:af876d6357d27427467dc9ed1ce0e24f1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac12a360ad789682db7e76f68f5eb4f49"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac12a360ad789682db7e76f68f5eb4f49">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradInputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradInputTransformDatasetNHWC_FP32, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:ac12a360ad789682db7e76f68f5eb4f49"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8b21582e176d7bf27d350e5a10e8e554"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8b21582e176d7bf27d350e5a10e8e554">zip</a> (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;, { true, false, false, false, true, true, true }))</td></tr>
<tr class="separator:a8b21582e176d7bf27d350e5a10e8e554"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aebb47427829a9b7656e48f1201f8cc52"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aebb47427829a9b7656e48f1201f8cc52">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::PRECOMMIT, combine(combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:aebb47427829a9b7656e48f1201f8cc52"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa06c6feba12c92f2227d43172e4e3265"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa06c6feba12c92f2227d43172e4e3265">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:aa06c6feba12c92f2227d43172e4e3265"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6021ee102520188db2a83ec2f12dee82"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6021ee102520188db2a83ec2f12dee82">combine</a> (combine(SmallWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:a6021ee102520188db2a83ec2f12dee82"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a260df7797684b78568d4767603bca11c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a260df7797684b78568d4767603bca11c">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNCHW, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:a260df7797684b78568d4767603bca11c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac99b79d76a389134a770ef84123c8e7f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac99b79d76a389134a770ef84123c8e7f">combine</a> (combine(SmallWinogradFilterTransformDatasetNHWC_F16, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:ac99b79d76a389134a770ef84123c8e7f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae88b51711658b7a86841468fcb52c3b0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae88b51711658b7a86841468fcb52c3b0">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradFilterTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC_F16, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })))</td></tr>
<tr class="separator:ae88b51711658b7a86841468fcb52c3b0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a92c954cae4fba05b9289379457fdeb53"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a92c954cae4fba05b9289379457fdeb53">combine</a> (combine(SmallWinogradFilterTransformDatasetNHWC_F32, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:a92c954cae4fba05b9289379457fdeb53"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a822f5d584969c12c48787f95d589f79f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a822f5d584969c12c48787f95d589f79f">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradFilterTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradFilterTransformDatasetNHWC_F32, framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })))</td></tr>
<tr class="separator:a822f5d584969c12c48787f95d589f79f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a83c3f26a5c463cb91f9f39fc47fe02fd"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a83c3f26a5c463cb91f9f39fc47fe02fd">zip</a> (zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{ TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F16), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(512U, 49U, 16U, 5U), 1, DataType::F32), TensorInfo(TensorShape(13U, 108U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 20U, 16U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 36U, 3U), 1, DataType::F32), TensorInfo(TensorShape(7U, 256U, 16U, 3U), 1, DataType::F32) }), framework::dataset::make(&quot;BiasInfo&quot;, { TensorInfo(TensorShape(512U), 1, DataType::F16), TensorInfo(TensorShape(512U), 1, DataType::QASYMM8), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(512U), 1, DataType::F32), TensorInfo(TensorShape(13U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32), TensorInfo(TensorShape(7U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F16), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::QASYMM8), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(14U, 14U, 512U, 5U), 1, DataType::F32), TensorInfo(TensorShape(17U, 23U, 13U, 4U), 1, DataType::F32), TensorInfo(TensorShape(8U, 10U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(7U, 9U, 7U, 7U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32), TensorInfo(TensorShape(64U, 64U, 7U, 3U), 1, DataType::F32) })), framework::dataset::make(&quot;WinogradInfo&quot;, { WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(5U, 5U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(14U, 14U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(17U, 23U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(2U, 3U), Size2D(3U, 3U), Size2D(8U, 10U), PadStrideInfo(1, 1, 0, 0), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(64U, 64U), PadStrideInfo(1, 1, 1, 1), DataLayout::NCHW) })), framework::dataset::make(&quot;Expected&quot;, { true, false, false, true, false, true, false, true, false }))</td></tr>
<tr class="separator:a83c3f26a5c463cb91f9f39fc47fe02fd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3964fb992b6261c49fa64cee9f703aea"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3964fb992b6261c49fa64cee9f703aea">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::ALL, combine(combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:a3964fb992b6261c49fa64cee9f703aea"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad36747868db135bfe6ec2612b950e192"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad36747868db135bfe6ec2612b950e192">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:ad36747868db135bfe6ec2612b950e192"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a635a4ed7493013bf8d4234f72baf301a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a635a4ed7493013bf8d4234f72baf301a">combine</a> (combine(SmallWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:a635a4ed7493013bf8d4234f72baf301a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3551fb034bd6c289e86ef940d49044c1"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3551fb034bd6c289e86ef940d49044c1">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNCHW, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:a3551fb034bd6c289e86ef940d49044c1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acb0f9e3857ddd59f91ac6a4b5696d2e0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#acb0f9e3857ddd59f91ac6a4b5696d2e0">combine</a> (combine(SmallWinogradOutputTransformDatasetNHWC_F16, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:acb0f9e3857ddd59f91ac6a4b5696d2e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6c5944c79af51fc58216e8cac2ae7d5e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6c5944c79af51fc58216e8cac2ae7d5e">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradOutputTransformFixtureFP16, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNHWC_F16, framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:a6c5944c79af51fc58216e8cac2ae7d5e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a24a29d81b247687c9412a726af8e516c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a24a29d81b247687c9412a726af8e516c">combine</a> (combine(SmallWinogradOutputTransformDatasetNHWC_F32, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:a24a29d81b247687c9412a726af8e516c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a782147e448ee1e98b5ac8c9855899937"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a782147e448ee1e98b5ac8c9855899937">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradOutputTransformFixtureFP32, framework::DatasetMode::NIGHTLY, combine(combine(LargeWinogradOutputTransformDatasetNHWC_F32, framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), framework::dataset::make(&quot;ActivationInfo&quot;,{ ActivationLayerInfo() })))</td></tr>
<tr class="separator:a782147e448ee1e98b5ac8c9855899937"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af94bf82577407bd38165f4e84c4c360a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af94bf82577407bd38165f4e84c4c360a">zip</a> (zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F16), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 8U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make(&quot;WeightsInfo&quot;, { TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 2U, 19U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 8U, 16U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make(&quot;BiasesInfo&quot;, { TensorInfo(TensorShape(19U), 1, DataType::F16), TensorInfo(TensorShape(19U), 1, DataType::F32), TensorInfo(TensorShape(21U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32), TensorInfo(TensorShape(16U), 1, DataType::F32) })), framework::dataset::make(&quot;OutputInfo&quot;, { TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F16), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(16U, 16U, 16U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make(&quot;ConvInfo&quot;, { PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 2, 0, 0), PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 1, 0) })), framework::dataset::make(&quot;Expected&quot;, { false, false, false, false, false }))</td></tr>
<tr class="separator:af94bf82577407bd38165f4e84c4c360a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aea5f1a4f1c500cbb5a19b73cebee80b4"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aea5f1a4f1c500cbb5a19b73cebee80b4">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
<tr class="separator:aea5f1a4f1c500cbb5a19b73cebee80b4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a510c741b806778da951c9461e400ea66"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a510c741b806778da951c9461e400ea66">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
<tr class="separator:a510c741b806778da951c9461e400ea66"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afc58e7b1ccb8c9b0abb9bcfa6e592c0c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#afc58e7b1ccb8c9b0abb9bcfa6e592c0c">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:aa6ac34c117469a1fea4f3749223fa00a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa6ac34c117469a1fea4f3749223fa00a">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:aa3d3f69e3800e4033c4442fbc87bcd21"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa3d3f69e3800e4033c4442fbc87bcd21">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradConvolutionLayerFastMathFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:a0b374452891e5a2e155ae7801d032da7"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0b374452891e5a2e155ae7801d032da7">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="separator:af7a5c2ad3fc736a6e26d776f62fb53ae"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac4c16ee2840b5b6fdad9101c4332ad14"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac4c16ee2840b5b6fdad9101c4332ad14">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:adce25b8f486e9fb7a9bd665d0dc748eb"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#adce25b8f486e9fb7a9bd665d0dc748eb">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:ab8cf8d715ef18d45732ebcfc216ac405"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab8cf8d715ef18d45732ebcfc216ac405">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:a92ea6ac2e4c17a8b8cb61325165e6d52"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a92ea6ac2e4c17a8b8cb61325165e6d52">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:a3ac58b06396ca30913df4fe49cda47b7"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3ac58b06396ca30913df4fe49cda47b7">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NCHW, DataLayout::NHWC })))</td></tr>
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<tr class="memitem:aef554aa97e83764c6914288c18309a00"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aef554aa97e83764c6914288c18309a00">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsSmallDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })))</td></tr>
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<tr class="memitem:a5383ca2486debad82a6ae5fb52f15ce2"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5383ca2486debad82a6ae5fb52f15ce2">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLWinogradConvolutionLayerFastMathFixture16, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x7Dataset(), framework::dataset::make(&quot;DataType&quot;, { DataType::F16 })), ActivationFunctionsDataset), framework::dataset::make(&quot;DataLayout&quot;, { DataLayout::NHWC })))</td></tr>
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Variables</h2></td></tr>
<tr class="memitem:ae008e90eb6906fa3526213bc860f6cc5"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae008e90eb6906fa3526213bc860f6cc5">input_info</a></td></tr>
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