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 121 <div class="title">DepthwiseConvolutionLayer.cpp File Reference</div>  </div>
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 124 <div class="textblock"><code>#include &quot;<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>&quot;</code><br />
 125 <code>#include &quot;<a class="el" href="_c_l_tensor_8h_source.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</code><br />
 126 <code>#include &quot;<a class="el" href="_c_l_tensor_allocator_8h_source.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>&quot;</code><br />
 127 <code>#include &quot;<a class="el" href="_c_l_depthwise_convolution_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h</a>&quot;</code><br />
 128 <code>#include &quot;<a class="el" href="_c_l_accessor_8h_source.xhtml">tests/CL/CLAccessor.h</a>&quot;</code><br />
 129 <code>#include &quot;<a class="el" href="_padding_calculator_8h_source.xhtml">tests/PaddingCalculator.h</a>&quot;</code><br />
 130 <code>#include &quot;tests/datasets/DepthwiseConvolutionLayerDataset.h&quot;</code><br />
 131 <code>#include &quot;<a class="el" href="_asserts_8h_source.xhtml">tests/framework/Asserts.h</a>&quot;</code><br />
 132 <code>#include &quot;<a class="el" href="tests_2framework_2_macros_8h_source.xhtml">tests/framework/Macros.h</a>&quot;</code><br />
 133 <code>#include &quot;<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</code><br />
 134 <code>#include &quot;<a class="el" href="_validation_8h_source.xhtml">tests/validation/Validation.h</a>&quot;</code><br />
 135 <code>#include &quot;tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h&quot;</code><br />
 136 </div>
 137 <p><a href="validation_2_c_l_2_depthwise_convolution_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p>
 138 <table class="memberdecls">
 139 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a>
 140 Namespaces</h2></td></tr>
 141 <tr class="memitem:namespacearm__compute"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></td></tr>
 142 <tr class="memdesc:namespacearm__compute"><td class="mdescLeft">&#160;</td><td class="mdescRight">This file contains all available output stages for GEMMLowp on OpenCL. <br /></td></tr>
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 146 <tr class="memitem:namespacearm__compute_1_1test_1_1validation"><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">arm_compute::test::validation</a></td></tr>
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 148 </table><table class="memberdecls">
 149 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
 150 Typedefs</h2></td></tr>
 151 <tr class="memitem:ae133c0063d4112703d30b7f7ae485fce"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 152 <tr class="memitem:ae133c0063d4112703d30b7f7ae485fce"><td class="memTemplItemLeft" align="right" valign="top">using&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae133c0063d4112703d30b7f7ae485fce">CLDepthwiseConvolutionLayerFixture</a> = DepthwiseConvolutionLayerValidationFixture&lt; CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T &gt;</td></tr>
 153 <tr class="separator:ae133c0063d4112703d30b7f7ae485fce"><td class="memSeparator" colspan="2">&#160;</td></tr>
 154 <tr class="memitem:a0a9bd286acadddcc148429b00ac027d7"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 155 <tr class="memitem:a0a9bd286acadddcc148429b00ac027d7"><td class="memTemplItemLeft" align="right" valign="top">using&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0a9bd286acadddcc148429b00ac027d7">CLDepthwiseConvolutionLayerFixture3x3</a> = DepthwiseConvolutionLayerValidationFixture&lt; CLTensor, CLAccessor, CLDepthwiseConvolutionLayer3x3, T &gt;</td></tr>
 156 <tr class="separator:a0a9bd286acadddcc148429b00ac027d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 157 <tr class="memitem:af5ad79218ce618faeba270aa32dd6583"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 158 <tr class="memitem:af5ad79218ce618faeba270aa32dd6583"><td class="memTemplItemLeft" align="right" valign="top">using&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af5ad79218ce618faeba270aa32dd6583">CLDepthwiseConvolutionLayerQuantizedFixture</a> = DepthwiseConvolutionLayerValidationQuantizedFixture&lt; CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T &gt;</td></tr>
 159 <tr class="separator:af5ad79218ce618faeba270aa32dd6583"><td class="memSeparator" colspan="2">&#160;</td></tr>
 160 <tr class="memitem:a71b6597eabb0e3d07b1cac9fa7c56daa"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 161 <tr class="memitem:a71b6597eabb0e3d07b1cac9fa7c56daa"><td class="memTemplItemLeft" align="right" valign="top">using&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a71b6597eabb0e3d07b1cac9fa7c56daa">CLDepthwiseConvolutionLayerQuantizedFixture3x3</a> = DepthwiseConvolutionLayerValidationQuantizedFixture&lt; CLTensor, CLAccessor, CLDepthwiseConvolutionLayer3x3, T &gt;</td></tr>
 162 <tr class="separator:a71b6597eabb0e3d07b1cac9fa7c56daa"><td class="memSeparator" colspan="2">&#160;</td></tr>
 163 </table><table class="memberdecls">
 164 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
 165 Functions</h2></td></tr>
 166 <tr class="memitem:a0230fdd4952937ef0aada085bf021f0e"><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#a0230fdd4952937ef0aada085bf021f0e">DATA_TEST_CASE</a> (Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32, 0), TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::S32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(24U), 1, DataType::S32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(4, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0),})), framework::dataset::make(&quot;DepthMultiplier&quot;,{1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 2, 3,})), framework::dataset::make(&quot;ActivationInfo&quot;,{ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)</td></tr>
 167 <tr class="separator:a0230fdd4952937ef0aada085bf021f0e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 168 <tr class="memitem:a4700960adf5bca330984601fcd90c1eb"><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#a4700960adf5bca330984601fcd90c1eb">DATA_TEST_CASE</a> (ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(framework::dataset::make(&quot;InputInfo&quot;,{TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8, 0),}), framework::dataset::make(&quot;WeightsInfo&quot;,{TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;BiasesInfo&quot;,{TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(4U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(2U), 1, DataType::F32, 0), TensorInfo(TensorShape(16U), 1, DataType::F32, 0), TensorInfo(TensorShape(24U), 1, DataType::S32, 0),})), framework::dataset::make(&quot;OutputInfo&quot;,{TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32, 0), TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32, 0), TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8, 0),})), framework::dataset::make(&quot;ConvInfo&quot;,{PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 1, 0),})), framework::dataset::make(&quot;DepthMultiplier&quot;,{1, 1, 3, 1, 1, 1, 2, 3,})), framework::dataset::make(&quot;Expected&quot;,{false, false, false, false, false, false, true, true})), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)</td></tr>
 169 <tr class="separator:a4700960adf5bca330984601fcd90c1eb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 170 <tr class="memitem:afc5c48fd76f7913ed9cd41aef176c4da"><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#afc5c48fd76f7913ed9cd41aef176c4da">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 171 <tr class="separator:afc5c48fd76f7913ed9cd41aef176c4da"><td class="memSeparator" colspan="2">&#160;</td></tr>
 172 <tr class="memitem:aec6a1b635c7b96d8b8ec699fa76b8ae5"><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#aec6a1b635c7b96d8b8ec699fa76b8ae5">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 173 <tr class="separator:aec6a1b635c7b96d8b8ec699fa76b8ae5"><td class="memSeparator" colspan="2">&#160;</td></tr>
 174 <tr class="memitem:a9ddbcddbdbeb14436c5caadba02e60ee"><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#a9ddbcddbdbeb14436c5caadba02e60ee">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 175 <tr class="separator:a9ddbcddbdbeb14436c5caadba02e60ee"><td class="memSeparator" colspan="2">&#160;</td></tr>
 176 <tr class="memitem:a25abf46cd8c96b2d0b21925215311ef2"><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#a25abf46cd8c96b2d0b21925215311ef2">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLDepthwiseConvolutionLayerFixture&lt; half &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F16)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 177 <tr class="separator:a25abf46cd8c96b2d0b21925215311ef2"><td class="memSeparator" colspan="2">&#160;</td></tr>
 178 <tr class="memitem:ad629adf78916c8999640a7f7b6dd365a"><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#ad629adf78916c8999640a7f7b6dd365a">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 179 <tr class="separator:ad629adf78916c8999640a7f7b6dd365a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 180 <tr class="memitem:ac7eb22cc3442331805fa2069bf473745"><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#ac7eb22cc3442331805fa2069bf473745">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLDepthwiseConvolutionLayerFixture3x3&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 181 <tr class="separator:ac7eb22cc3442331805fa2069bf473745"><td class="memSeparator" colspan="2">&#160;</td></tr>
 182 <tr class="memitem:a26dd4412e4888d82c7472a57723b6000"><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#a26dd4412e4888d82c7472a57723b6000">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 183 <tr class="separator:a26dd4412e4888d82c7472a57723b6000"><td class="memSeparator" colspan="2">&#160;</td></tr>
 184 <tr class="memitem:ad5c2b3898dc1a5cf1c29e06a99187aa7"><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#ad5c2b3898dc1a5cf1c29e06a99187aa7">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLDepthwiseConvolutionLayerFixture&lt; float &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::F32)), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 185 <tr class="separator:ad5c2b3898dc1a5cf1c29e06a99187aa7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 186 <tr class="memitem:a7ec375bf84f8b1a8dfd0dd66de58ba52"><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#a7ec375bf84f8b1a8dfd0dd66de58ba52">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;,{QuantizationInfo(0.5f, 10)})), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 187 <tr class="separator:a7ec375bf84f8b1a8dfd0dd66de58ba52"><td class="memSeparator" colspan="2">&#160;</td></tr>
 188 <tr class="memitem:a9d99f4ebf56c927fe3c6096b921c37f4"><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#a9d99f4ebf56c927fe3c6096b921c37f4">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;,{QuantizationInfo(0.5f, 10)})), framework::dataset::make(&quot;DataLayout&quot;, DataLayout::NCHW)))</td></tr>
 189 <tr class="separator:a9d99f4ebf56c927fe3c6096b921c37f4"><td class="memSeparator" colspan="2">&#160;</td></tr>
 190 <tr class="memitem:a8e306b80ecdafae9e11936bac855229f"><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#a8e306b80ecdafae9e11936bac855229f">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;,{QuantizationInfo(0.5f, 10)})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NHWC})))</td></tr>
 191 <tr class="separator:a8e306b80ecdafae9e11936bac855229f"><td class="memSeparator" colspan="2">&#160;</td></tr>
 192 <tr class="memitem:ad8b0c1c40d0c3573c6bf801de5465e51"><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#ad8b0c1c40d0c3573c6bf801de5465e51">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture3x3&lt; uint8_t &gt;, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make(&quot;DepthMultiplier&quot;, 1)), framework::dataset::make(&quot;DataType&quot;, DataType::QASYMM8)), framework::dataset::make(&quot;QuantizationInfo&quot;,{QuantizationInfo(0.5f, 10)})), framework::dataset::make(&quot;DataLayout&quot;,{DataLayout::NCHW, DataLayout::NHWC})))</td></tr>
 193 <tr class="separator:ad8b0c1c40d0c3573c6bf801de5465e51"><td class="memSeparator" colspan="2">&#160;</td></tr>
 194 </table>
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 200     <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="validation_2_c_l_2_depthwise_convolution_layer_8cpp.xhtml">DepthwiseConvolutionLayer.cpp</a></li>
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