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| <div class="textblock"><code>#include "<a class="el" href="_tensor_shape_8h_source.xhtml">arm_compute/core/TensorShape.h</a>"</code><br/> |
| <code>#include "<a class="el" href="arm__compute_2core_2_types_8h_source.xhtml">arm_compute/core/Types.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_c_l_tensor_8h_source.xhtml">arm_compute/runtime/CL/CLTensor.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_c_l_tensor_allocator_8h_source.xhtml">arm_compute/runtime/CL/CLTensorAllocator.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_c_l_convolution_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLConvolutionLayer.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_c_l_accessor_8h_source.xhtml">tests/CL/CLAccessor.h</a>"</code><br/> |
| <code>#include "<a class="el" href="benchmark_2fixtures_2_convolution_layer_fixture_8h_source.xhtml">tests/benchmark/fixtures/ConvolutionLayerFixture.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_alex_net_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_goog_le_net_inception_v1_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_le_net5_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_squeeze_net_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_v_g_g16_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_y_o_l_o_v2_convolution_layer_dataset_8h_source.xhtml">tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_macros_8h_source.xhtml">tests/framework/Macros.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_datasets_8h_source.xhtml">tests/framework/datasets/Datasets.h</a>"</code><br/> |
| <code>#include "<a class="el" href="_type_printer_8h_source.xhtml">utils/TypePrinter.h</a>"</code><br/> |
| </div> |
| <p><a href="benchmark_2_c_l_2_convolution_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
| <table class="memberdecls"> |
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| Namespaces</h2></td></tr> |
| <tr class="memitem:namespacearm__compute"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:namespacearm__compute_1_1test"><td class="memItemLeft" align="right" valign="top"> </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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| Typedefs</h2></td></tr> |
| <tr class="memitem:ad275d75e1b63f91fdc59afe026688b12"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a> = ConvolutionLayerFixture< CLTensor, CLConvolutionLayer, CLAccessor ></td></tr> |
| <tr class="separator:ad275d75e1b63f91fdc59afe026688b12"><td class="memSeparator" colspan="2"> </td></tr> |
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| Functions</h2></td></tr> |
| <tr class="memitem:a80d1181d85aefe33d6a8720152dba80b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a80d1181d85aefe33d6a8720152dba80b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a80d1181d85aefe33d6a8720152dba80b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac18e51057a61f7db456d1c8b9b03aa09"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac18e51057a61f7db456d1c8b9b03aa09">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:ac18e51057a61f7db456d1c8b9b03aa09"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3e452462cb397897f476f6d83b468914"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a3e452462cb397897f476f6d83b468914">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:a3e452462cb397897f476f6d83b468914"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aecd85eec5df288174be9b7e0fac6d1fe"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aecd85eec5df288174be9b7e0fac6d1fe">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:aecd85eec5df288174be9b7e0fac6d1fe"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aea25c6951a5d4bcfeb95750105154506"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aea25c6951a5d4bcfeb95750105154506">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1)))</td></tr> |
| <tr class="separator:aea25c6951a5d4bcfeb95750105154506"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac62a5389a4a60e89fabb6bb2153adfc5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac62a5389a4a60e89fabb6bb2153adfc5">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8})))</td></tr> |
| <tr class="separator:ac62a5389a4a60e89fabb6bb2153adfc5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a65a028ab7f8ba81db43d5963ea5343a4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a65a028ab7f8ba81db43d5963ea5343a4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8})))</td></tr> |
| <tr class="separator:a65a028ab7f8ba81db43d5963ea5343a4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6773bc983eece85b34d67c4ba3c09554"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6773bc983eece85b34d67c4ba3c09554">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8})))</td></tr> |
| <tr class="separator:a6773bc983eece85b34d67c4ba3c09554"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4bdfdac4318cf7e4b09cc13a553363a7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4bdfdac4318cf7e4b09cc13a553363a7">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8})))</td></tr> |
| <tr class="separator:a4bdfdac4318cf7e4b09cc13a553363a7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a34df6fb97233366fc9083d79c13a5737"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a34df6fb97233366fc9083d79c13a5737">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8})))</td></tr> |
| <tr class="separator:a34df6fb97233366fc9083d79c13a5737"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5a371e1a37be130dc9e8c905cd5efc29"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a5a371e1a37be130dc9e8c905cd5efc29">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4})))</td></tr> |
| <tr class="separator:a5a371e1a37be130dc9e8c905cd5efc29"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7473924d4fdf2b5dec0d8ee9aa11e25d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7473924d4fdf2b5dec0d8ee9aa11e25d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4, 8})))</td></tr> |
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