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| <div class="title">ConvolutionLayer.cpp File Reference</div> </div> |
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| <div class="textblock"><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="_n_e_convolution_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEConvolutionLayer.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_n_e_g_e_m_m_convolution_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_n_e_winograd_convolution_layer_8h_source.xhtml">arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h</a>"</code><br /> |
| <code>#include "<a class="el" href="runtime_2_tensor_8h_source.xhtml">arm_compute/runtime/Tensor.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_tensor_allocator_8h_source.xhtml">arm_compute/runtime/TensorAllocator.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_accessor_8h_source.xhtml">tests/NEON/Accessor.h</a>"</code><br /> |
| <code>#include "<a class="el" href="_padding_calculator_8h_source.xhtml">tests/PaddingCalculator.h</a>"</code><br /> |
| <code>#include "tests/datasets/LargeConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/SmallConvolutionLayerDataset.h"</code><br /> |
| <code>#include "tests/datasets/TinyConvolutionLayerDataset.h"</code><br /> |
| <code>#include "<a class="el" href="_asserts_8h_source.xhtml">tests/framework/Asserts.h</a>"</code><br /> |
| <code>#include "<a class="el" href="tests_2framework_2_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="_validation_8h_source.xhtml">tests/validation/Validation.h</a>"</code><br /> |
| <code>#include "tests/validation/fixtures/ConvolutionLayerFixture.h"</code><br /> |
| <code>#include "tests/validation/fixtures/WinogradConvolutionLayerFixture.h"</code><br /> |
| </div> |
| <p><a href="_n_e_o_n_2_convolution_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
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| <tr class="memitem:namespacearm__compute_1_1test_1_1validation"><td class="memItemLeft" align="right" valign="top">  </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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| Typedefs</h2></td></tr> |
| <tr class="memitem:a1a95256b08846db22e0c4d2b13656272"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:a1a95256b08846db22e0c4d2b13656272"><td class="memTemplItemLeft" align="right" valign="top">using </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1a95256b08846db22e0c4d2b13656272">NEWinogradConvolutionLayerNoBiasFixture</a> = WinogradConvolutionLayerFastMathValidationFixture< Tensor, Accessor, NEWinogradConvolutionLayer, T, T, false ></td></tr> |
| <tr class="separator:a1a95256b08846db22e0c4d2b13656272"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7d7f0321e91f8b48ec2b198ccf4149a8"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:a7d7f0321e91f8b48ec2b198ccf4149a8"><td class="memTemplItemLeft" align="right" valign="top">using </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7d7f0321e91f8b48ec2b198ccf4149a8">NEGEMMConvolutionLayerFixture</a> = ConvolutionValidationFixture< Tensor, Accessor, NEGEMMConvolutionLayer, T ></td></tr> |
| <tr class="separator:a7d7f0321e91f8b48ec2b198ccf4149a8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae7aca346e4f1e54771f2cab168fdbc9a"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:ae7aca346e4f1e54771f2cab168fdbc9a"><td class="memTemplItemLeft" align="right" valign="top">using </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7aca346e4f1e54771f2cab168fdbc9a">NEGEMMConvolutionLayerQuantizedPerChannelFixture</a> = ConvolutionValidationQuantizedPerChannelFixture< Tensor, Accessor, NEGEMMConvolutionLayer, T, int8_t ></td></tr> |
| <tr class="separator:ae7aca346e4f1e54771f2cab168fdbc9a"><td class="memSeparator" colspan="2"> </td></tr> |
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| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:a53950503f84613370c1874e9ec36f738"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a53950503f84613370c1874e9ec36f738">DATA_TEST_CASE</a> (ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(18U, 18U, 32U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 32U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 32U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(16U, 16U, 21U), 1, DataType::F32), TensorInfo(TensorShape(19U, 23U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0) })), framework::dataset::make("FastMath", { true, true, false, false })), framework::dataset::make("Expected", { ConvolutionMethod::WINOGRAD, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })), input_info, weights_info, output_info, conv_info, fast_math, expected)</td></tr> |
| <tr class="separator:a53950503f84613370c1874e9ec36f738"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac2ed31007ae463a3cec24a581f3651f6"><td class="memItemLeft" align="right" valign="top"> </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<CLTensor, CLAccessor, CLActivationLayer, T></td></tr> |
| <tr class="memdesc:ac2ed31007ae463a3cec24a581f3651f6"><td class="mdescLeft"> </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"> </td></tr> |
| <tr class="memitem:a2d46a2835e58f6bdec18d668358b6dae"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2d46a2835e58f6bdec18d668358b6dae">FIXTURE_DATA_TEST_CASE</a> (RunSmall, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallWinogradConvolutionLayer1x3Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:a2d46a2835e58f6bdec18d668358b6dae"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aee7d650bc059f8cf752b8188a80f5db1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aee7d650bc059f8cf752b8188a80f5db1">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x3Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:aee7d650bc059f8cf752b8188a80f5db1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aeaf63c04a1cc347e32d54af646df589a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aeaf63c04a1cc347e32d54af646df589a">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer3x1Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:aeaf63c04a1cc347e32d54af646df589a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae3a215e9f428d6042cf896a6378d28c9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae3a215e9f428d6042cf896a6378d28c9">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x1Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:ae3a215e9f428d6042cf896a6378d28c9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af5dc36fe0848cf8263570cf02a5a6569"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af5dc36fe0848cf8263570cf02a5a6569">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer1x5Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:af5dc36fe0848cf8263570cf02a5a6569"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a234d3ee7abaa081cfaaa79c3c39d515b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a234d3ee7abaa081cfaaa79c3c39d515b">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer1x5Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:a234d3ee7abaa081cfaaa79c3c39d515b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5a6b39c4e919ccb67029c24966da3318"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5a6b39c4e919ccb67029c24966da3318">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer5x1Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:a5a6b39c4e919ccb67029c24966da3318"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad8cf961b025ad19bb7a33c3310630c1c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad8cf961b025ad19bb7a33c3310630c1c">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x1Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:ad8cf961b025ad19bb7a33c3310630c1c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aaf6eb6c2cd25bec65d8c1981d044dc4f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aaf6eb6c2cd25bec65d8c1981d044dc4f">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer7x1Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:aaf6eb6c2cd25bec65d8c1981d044dc4f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab335aafdf19f5ee4db752fc8d19cf651"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab335aafdf19f5ee4db752fc8d19cf651">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer7x1Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:ab335aafdf19f5ee4db752fc8d19cf651"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2f8883de8bcf15fa2f4609eb6d9c7686"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a2f8883de8bcf15fa2f4609eb6d9c7686">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer1x7Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:a2f8883de8bcf15fa2f4609eb6d9c7686"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1ed250192de73300c8e4c05e77e66f87"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1ed250192de73300c8e4c05e77e66f87">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer3x3Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:a1ed250192de73300c8e4c05e77e66f87"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa28d2cc5d04ff5315c274f3399af6239"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa28d2cc5d04ff5315c274f3399af6239">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer3x3Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:aa28d2cc5d04ff5315c274f3399af6239"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a85dd0f7e03c6e9d992ef9b8f0751cf40"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a85dd0f7e03c6e9d992ef9b8f0751cf40">combine</a> (combine(combine(datasets::SmallWinogradConvolutionLayer5x5Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:a85dd0f7e03c6e9d992ef9b8f0751cf40"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8fc2b202c6c2094566acc3a9834c7967"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fc2b202c6c2094566acc3a9834c7967">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEWinogradConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeWinogradConvolutionLayer5x5Dataset(), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:a8fc2b202c6c2094566acc3a9834c7967"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af7c994b02533988ca1192f1527373621"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af7c994b02533988ca1192f1527373621">combine</a> (combine(combine(framework::dataset::concat(datasets::SmallWinogradConvolutionLayer3x3Dataset(), datasets::SmallWinogradConvolutionLayer5x5Dataset()), framework::dataset::make("DataType", { DataType::F32 })), ActivationFunctionsDataset), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))</td></tr> |
| <tr class="separator:af7c994b02533988ca1192f1527373621"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8fdb116fa072ae44264324d851e07d68"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fdb116fa072ae44264324d851e07d68">combine</a> (combine(datasets::SmallConvolutionLayerDataset(), CNNDataTypes), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) }))</td></tr> |
| <tr class="separator:a8fdb116fa072ae44264324d851e07d68"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af3c1de77fd86df539395c75c17ec230e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a> (src.info() ->is_resizable(), framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:af3c1de77fd86df539395c75c17ec230e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4723dcafb6cb17bc56a7ef564beba6bf"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4723dcafb6cb17bc56a7ef564beba6bf">ARM_COMPUTE_EXPECT</a> (weights.info() ->is_resizable(), framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:a4723dcafb6cb17bc56a7ef564beba6bf"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8a3a4ff1ec017f023aa950ddc43434e8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8a3a4ff1ec017f023aa950ddc43434e8">ARM_COMPUTE_EXPECT</a> (bias.info() ->is_resizable(), framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:a8a3a4ff1ec017f023aa950ddc43434e8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aedc846191741fb759460952ef3dbf6d2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aedc846191741fb759460952ef3dbf6d2">ARM_COMPUTE_EXPECT</a> (dst.info() ->is_resizable(), framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:aedc846191741fb759460952ef3dbf6d2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac1783f94b5942a7c78100c398e192569"><td class="memItemLeft" align="right" valign="top">convolution configure & </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac1783f94b5942a7c78100c398e192569">src</a> (), 0, border_mode</td></tr> |
| <tr class="separator:ac1783f94b5942a7c78100c398e192569"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7b3a3ff6a6f15d54e05a82f13dc727c2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b3a3ff6a6f15d54e05a82f13dc727c2">validate</a> (src.info() ->valid_region(), src_valid_region)</td></tr> |
| <tr class="separator:a7b3a3ff6a6f15d54e05a82f13dc727c2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a379c037a43bfd25a8664a9650b93d56a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a379c037a43bfd25a8664a9650b93d56a">validate</a> (weights.info() ->valid_region(), weights_valid_region)</td></tr> |
| <tr class="separator:a379c037a43bfd25a8664a9650b93d56a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a25d6ff2730cac30b00fc8fe6c9028108"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a25d6ff2730cac30b00fc8fe6c9028108">validate</a> (bias.info() ->valid_region(), bias_valid_region)</td></tr> |
| <tr class="separator:a25d6ff2730cac30b00fc8fe6c9028108"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6813132c943295888972727864ea5c2f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6813132c943295888972727864ea5c2f">validate</a> (dst.info() ->valid_region(), dst_valid_region)</td></tr> |
| <tr class="separator:a6813132c943295888972727864ea5c2f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a230a5295f65fab5a7ad5028c1f2561b2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a230a5295f65fab5a7ad5028c1f2561b2">ARM_COMPUTE_EXPECT</a> (src.info() ->quantization_info()==src_quantization_info, framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:a230a5295f65fab5a7ad5028c1f2561b2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5c77cc4c8d5ea17105cebb7abdda28c2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5c77cc4c8d5ea17105cebb7abdda28c2">ARM_COMPUTE_EXPECT</a> (weights.info() ->quantization_info()==weights_quantization_info, framework::LogLevel::ERRORS)</td></tr> |
| <tr class="separator:a5c77cc4c8d5ea17105cebb7abdda28c2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5615640d2195ce7a42adde58479af189"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5615640d2195ce7a42adde58479af189">FIXTURE_DATA_TEST_CASE</a> (RunSmall, NEGEMMConvolutionLayerFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))</td></tr> |
| <tr class="separator:a5615640d2195ce7a42adde58479af189"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad901b433d9837ccbc813f45da6643a44"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad901b433d9837ccbc813f45da6643a44">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEGEMMConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))</td></tr> |
| <tr class="separator:ad901b433d9837ccbc813f45da6643a44"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af92744dbe82969aec7e036fd13ae6428"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af92744dbe82969aec7e036fd13ae6428">FIXTURE_DATA_TEST_CASE</a> (RunSmall, NEGEMMConvolutionLayerQuantizedFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))</td></tr> |
| <tr class="separator:af92744dbe82969aec7e036fd13ae6428"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a28c3d4bdd5b08adbcfbd2a65c3921133"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a28c3d4bdd5b08adbcfbd2a65c3921133">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEGEMMConvolutionLayerQuantizedFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))</td></tr> |
| <tr class="separator:a28c3d4bdd5b08adbcfbd2a65c3921133"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a17eae770f6172ac7cb3715b49ab2b22e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a17eae770f6172ac7cb3715b49ab2b22e">combine</a> (combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f/255.f, 10) })), QuantizedActivationFunctionsDataset))</td></tr> |
| <tr class="separator:a17eae770f6172ac7cb3715b49ab2b22e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0416a42b52b04ecc570db0f6417b63cb"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0416a42b52b04ecc570db0f6417b63cb">combine</a> (combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", { DataType::QASYMM8 })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))</td></tr> |
| <tr class="separator:a0416a42b52b04ecc570db0f6417b63cb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a962e5ce53fdc013dfd615b4828e8c980"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a962e5ce53fdc013dfd615b4828e8c980">FIXTURE_DATA_TEST_CASE</a> (RunLarge, NEGEMMConvolutionLayerQuantizedPerChannelFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", { DataType::QASYMM8 })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset), framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))</td></tr> |
| <tr class="separator:a962e5ce53fdc013dfd615b4828e8c980"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a> |
| Variables</h2></td></tr> |
| <tr class="memitem:a123fca581853db28cc4d78255ab19c31"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a123fca581853db28cc4d78255ab19c31">NEWinogradConvolutionLayerFixture< float ></a></td></tr> |
| <tr class="separator:a123fca581853db28cc4d78255ab19c31"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3e6b894fd8b8b2ea7349ceee796d4c03"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3e6b894fd8b8b2ea7349ceee796d4c03">NEWinogradConvolutionLayerNoBiasFixture< float ></a></td></tr> |
| <tr class="separator:a3e6b894fd8b8b2ea7349ceee796d4c03"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a67a2e821b313c0a743d92a0c17a3d638"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a67a2e821b313c0a743d92a0c17a3d638">NEGEMMConvolutionLayerQuantizedFixture< int8_t ></a></td></tr> |
| <tr class="separator:a67a2e821b313c0a743d92a0c17a3d638"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8887555606a3463f583e8efa9a6baa03"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8887555606a3463f583e8efa9a6baa03">NEGEMMConvolutionLayerQuantizedPerChannelFixture< uint8_t ></a></td></tr> |
| <tr class="separator:a8887555606a3463f583e8efa9a6baa03"><td class="memSeparator" colspan="2"> </td></tr> |
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