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 121 <div class="title">ConvolutionLayer.cpp File Reference</div>  </div>
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 124 <div class="textblock"><code>#include &quot;<a class="el" href="_tensor_shape_8h_source.xhtml">arm_compute/core/TensorShape.h</a>&quot;</code><br />
 125 <code>#include &quot;<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>&quot;</code><br />
 126 <code>#include &quot;<a class="el" href="_n_e_convolution_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEConvolutionLayer.h</a>&quot;</code><br />
 127 <code>#include &quot;<a class="el" href="_n_e_winograd_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEWinogradLayer.h</a>&quot;</code><br />
 128 <code>#include &quot;<a class="el" href="runtime_2_tensor_8h_source.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</code><br />
 129 <code>#include &quot;<a class="el" href="_tensor_allocator_8h_source.xhtml">arm_compute/runtime/TensorAllocator.h</a>&quot;</code><br />
 130 <code>#include &quot;<a class="el" href="_accessor_8h_source.xhtml">tests/NEON/Accessor.h</a>&quot;</code><br />
 131 <code>#include &quot;<a class="el" href="benchmark_2fixtures_2_convolution_layer_fixture_8h_source.xhtml">tests/benchmark/fixtures/ConvolutionLayerFixture.h</a>&quot;</code><br />
 132 <code>#include &quot;<a class="el" href="_alex_net_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h</a>&quot;</code><br />
 133 <code>#include &quot;<a class="el" href="_goog_le_net_inception_v1_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h</a>&quot;</code><br />
 134 <code>#include &quot;<a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>&quot;</code><br />
 135 <code>#include &quot;<a class="el" href="_le_net5_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h</a>&quot;</code><br />
 136 <code>#include &quot;<a class="el" href="_squeeze_net_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h</a>&quot;</code><br />
 137 <code>#include &quot;<a class="el" href="_v_g_g16_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h</a>&quot;</code><br />
 138 <code>#include &quot;<a class="el" href="_y_o_l_o_v2_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h</a>&quot;</code><br />
 139 <code>#include &quot;<a class="el" href="tests_2framework_2_macros_8h_source.xhtml">tests/framework/Macros.h</a>&quot;</code><br />
 140 <code>#include &quot;<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>&quot;</code><br />
 141 <code>#include &quot;<a class="el" href="_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>&quot;</code><br />
 142 </div>
 143 <p><a href="benchmark_2_n_e_o_n_2_convolution_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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 148 <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>
 149 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 150 <tr class="memitem:namespacearm__compute_1_1test"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a></td></tr>
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 155 <tr class="memitem:a0e36e58a8ee401995f556ef9d4a5ce80"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a0e36e58a8ee401995f556ef9d4a5ce80">NEGEMMConvolutionLayerFixture</a> = ConvolutionLayerFixture&lt; Tensor, NEGEMMConvolutionLayer, Accessor &gt;</td></tr>
 156 <tr class="separator:a0e36e58a8ee401995f556ef9d4a5ce80"><td class="memSeparator" colspan="2">&#160;</td></tr>
 157 </table><table class="memberdecls">
 158 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
 159 Functions</h2></td></tr>
 160 <tr class="memitem:a54c42fbe58ef5dd06813ae4dcfdf06dc"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a54c42fbe58ef5dd06813ae4dcfdf06dc">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
 161 <tr class="separator:a54c42fbe58ef5dd06813ae4dcfdf06dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
 162 <tr class="memitem:ace28fc7ef7464b0f41ef1f6956e424f7"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ace28fc7ef7464b0f41ef1f6956e424f7">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
 163 <tr class="separator:ace28fc7ef7464b0f41ef1f6956e424f7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 164 <tr class="memitem:a833f8688f9d758b28a43ff726a1ccdfc"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a833f8688f9d758b28a43ff726a1ccdfc">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
 165 <tr class="separator:a833f8688f9d758b28a43ff726a1ccdfc"><td class="memSeparator" colspan="2">&#160;</td></tr>
 166 <tr class="memitem:a82c0eb8753e2fac4bd2b54489388cae6"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a82c0eb8753e2fac4bd2b54489388cae6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
 167 <tr class="separator:a82c0eb8753e2fac4bd2b54489388cae6"><td class="memSeparator" colspan="2">&#160;</td></tr>
 168 <tr class="memitem:a93a3724335b58fbd062e0e185e1eda69"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a93a3724335b58fbd062e0e185e1eda69">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;, 1)))</td></tr>
 169 <tr class="separator:a93a3724335b58fbd062e0e185e1eda69"><td class="memSeparator" colspan="2">&#160;</td></tr>
 170 <tr class="memitem:a8305a39b1c824111d226af86c55fe577"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8305a39b1c824111d226af86c55fe577">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
 171 <tr class="separator:a8305a39b1c824111d226af86c55fe577"><td class="memSeparator" colspan="2">&#160;</td></tr>
 172 <tr class="memitem:a4ad5760b5cd8c5b70706dd46fadc9eec"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4ad5760b5cd8c5b70706dd46fadc9eec">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
 173 <tr class="separator:a4ad5760b5cd8c5b70706dd46fadc9eec"><td class="memSeparator" colspan="2">&#160;</td></tr>
 174 <tr class="memitem:ad49f8e100a055820780e95795d467d89"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad49f8e100a055820780e95795d467d89">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
 175 <tr class="separator:ad49f8e100a055820780e95795d467d89"><td class="memSeparator" colspan="2">&#160;</td></tr>
 176 <tr class="memitem:ae465790119631c9bcdc95f8d7c5f9d86"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae465790119631c9bcdc95f8d7c5f9d86">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
 177 <tr class="separator:ae465790119631c9bcdc95f8d7c5f9d86"><td class="memSeparator" colspan="2">&#160;</td></tr>
 178 <tr class="memitem:a1cc4dfa64238255e6c1c102d2c2f9436"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1cc4dfa64238255e6c1c102d2c2f9436">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{4, 8})))</td></tr>
 179 <tr class="separator:a1cc4dfa64238255e6c1c102d2c2f9436"><td class="memSeparator" colspan="2">&#160;</td></tr>
 180 <tr class="memitem:a7ed7067558a50bd721c086188216678d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7ed7067558a50bd721c086188216678d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 2})))</td></tr>
 181 <tr class="separator:a7ed7067558a50bd721c086188216678d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 182 <tr class="memitem:a6643ade20400d0e257d8f867c4b8f639"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6643ade20400d0e257d8f867c4b8f639">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2ConvolutionLayer, NEGEMMConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make(&quot;Batches&quot;,{1, 4, 8})))</td></tr>
 183 <tr class="separator:a6643ade20400d0e257d8f867c4b8f639"><td class="memSeparator" colspan="2">&#160;</td></tr>
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