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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="_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_g_e_m_m_convolution_layer_8h_source.xhtml">arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.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="_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 /> |
| </div> |
| <p><a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
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| <tr class="memitem:a94a15057a0ff4d88b074dbd787507bfe"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:a94a15057a0ff4d88b074dbd787507bfe"><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#a94a15057a0ff4d88b074dbd787507bfe">CLGEMMConvolutionLayerFixture</a> = ConvolutionValidationFixture< CLTensor, CLAccessor, CLGEMMConvolutionLayer, T ></td></tr> |
| <tr class="separator:a94a15057a0ff4d88b074dbd787507bfe"><td class="memSeparator" colspan="2"> </td></tr> |
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| Functions</h2></td></tr> |
| <tr class="memitem:a20c992ef5f3ed415c1e5a5a3ab19287d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a20c992ef5f3ed415c1e5a5a3ab19287d">DATA_TEST_CASE</a> (ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 5U, 4U), 1, DataType::F32), TensorInfo(TensorShape(23U, 27U, 31U, 4U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32), TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 32U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32) }), framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 31U, 21U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16), TensorInfo(TensorShape(5U, 5U, 32U, 19U), 1, DataType::F32), TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32) })), framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32), TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32), TensorInfo(TensorShape(17U, 31U, 19U), 1, DataType::F32) })), framework::dataset::make("ConvInfo", { PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 2, 1, 1), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadStrideInfo(3, 2, 1, 0), PadStrideInfo(1, 1, 2, 2), PadStrideInfo(1, 1, 2, 2) })), framework::dataset::make("GpuTarget", { GPUTarget::BIFROST, GPUTarget::MIDGARD, GPUTarget::G71, GPUTarget::G71, GPUTarget::MIDGARD, GPUTarget::BIFROST, GPUTarget::BIFROST, GPUTarget::BIFROST })), framework::dataset::make("Dilation", { Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(1U, 1U), Size2D(2U, 1U), })), framework::dataset::make("EnableFastMath", { false, false, false, false, false, false, true, true })), framework::dataset::make("Expected",{ ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, })), input_info, weights_info, output_info, conv_info, gpu_target, dilation, enable_fast_math, expected)</td></tr> |
| <tr class="separator:a20c992ef5f3ed415c1e5a5a3ab19287d"><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:a61ea7d7b6ace9d9c3dac58ab36c0550d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a61ea7d7b6ace9d9c3dac58ab36c0550d">combine</a> (combine(datasets::SmallConvolutionLayerDataset(), CNNDataTypes), ActivationFunctionsDataset)</td></tr> |
| <tr class="separator:a61ea7d7b6ace9d9c3dac58ab36c0550d"><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:adfac73ddd29ceb2d8b90c07749ab2b75"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#adfac73ddd29ceb2d8b90c07749ab2b75">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLGEMMConvolutionLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsSmallDataset))</td></tr> |
| <tr class="separator:adfac73ddd29ceb2d8b90c07749ab2b75"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae56e8ccc59b9165658842ced766e21ea"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae56e8ccc59b9165658842ced766e21ea">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLGEMMConvolutionLayerFixture< half >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsDataset))</td></tr> |
| <tr class="separator:ae56e8ccc59b9165658842ced766e21ea"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:acc29e65bd656baad653f863c5045b2c7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#acc29e65bd656baad653f863c5045b2c7">combine</a> (combine(combine(combine(datasets::SmallConvolutionLayerReducedDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), ActivationFunctionsSmallDataset))</td></tr> |
| <tr class="separator:acc29e65bd656baad653f863c5045b2c7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab59581debfeea11f73528296fc4c485a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab59581debfeea11f73528296fc4c485a">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLGEMMConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), 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:ab59581debfeea11f73528296fc4c485a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abe5e0e78a9dd187bc1caa2fbf168c06c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#abe5e0e78a9dd187bc1caa2fbf168c06c">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLGEMMConvolutionLayerQuantizedFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, 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), QuantizedActivationFunctionsSmallDataset))</td></tr> |
| <tr class="separator:abe5e0e78a9dd187bc1caa2fbf168c06c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aad53b8d93423976287977600d94aec48"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aad53b8d93423976287977600d94aec48">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLGEMMConvolutionLayerQuantizedFixture< uint8_t >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), QuantizationData), QuantizedActivationFunctionsDataset))</td></tr> |
| <tr class="separator:aad53b8d93423976287977600d94aec48"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abb065a41d5c0bce8f2e6434d622d1b0d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#abb065a41d5c0bce8f2e6434d622d1b0d">DATA_TEST_CASE</a> (Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), GroupedCNNDataTypes), ActivationFunctionsDataset), input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)</td></tr> |
| <tr class="separator:abb065a41d5c0bce8f2e6434d622d1b0d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4285021da4d786c03f562fa4e0f8cc0d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4285021da4d786c03f562fa4e0f8cc0d">FIXTURE_DATA_TEST_CASE</a> (RunSmall, CLGEMMGroupedConvolutionLayerFixture< float >, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW })), ActivationFunctionsSmallDataset))</td></tr> |
| <tr class="separator:a4285021da4d786c03f562fa4e0f8cc0d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4f09c78a3f0e1d7760f41b6fe1c0a2e4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f09c78a3f0e1d7760f41b6fe1c0a2e4">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLGEMMGroupedConvolutionLayerFixture< float >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW })), ActivationFunctionsDataset))</td></tr> |
| <tr class="separator:a4f09c78a3f0e1d7760f41b6fe1c0a2e4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8e72541241145dab4fed298d94de781e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8e72541241145dab4fed298d94de781e">combine</a> (combine(combine(combine(datasets::SmallGroupedConvolutionLayerDataset(), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW })), ActivationFunctionsSmallDataset))</td></tr> |
| <tr class="separator:a8e72541241145dab4fed298d94de781e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a45772f186df6066362a96cdfca053147"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45772f186df6066362a96cdfca053147">FIXTURE_DATA_TEST_CASE</a> (RunLarge, CLGEMMGroupedConvolutionLayerFixture< half >, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(framework::dataset::concat(datasets::SmallGroupedConvolutionLayerDataset(), datasets::LargeGroupedConvolutionLayerDataset()), framework::dataset::make("ReshapeWeights", { true })), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW })), ActivationFunctionsDataset))</td></tr> |
| <tr class="separator:a45772f186df6066362a96cdfca053147"><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:a865514e30baa11b11c8fa65f944532fb"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a></td></tr> |
| <tr class="separator:a865514e30baa11b11c8fa65f944532fb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae8f0126f051c787279a8c9ee3c3a5d55"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae8f0126f051c787279a8c9ee3c3a5d55">weights_shape</a></td></tr> |
| <tr class="separator:ae8f0126f051c787279a8c9ee3c3a5d55"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4cbf408f2927f0d1b7d1353b9d06dcfb"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4cbf408f2927f0d1b7d1353b9d06dcfb">bias_shape</a></td></tr> |
| <tr class="separator:a4cbf408f2927f0d1b7d1353b9d06dcfb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7fc93f37dac131a1a40b7921f9df3a9a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a></td></tr> |
| <tr class="separator:a7fc93f37dac131a1a40b7921f9df3a9a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4f4125dba5283887b34f889b1c615c0c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a></td></tr> |
| <tr class="separator:a4f4125dba5283887b34f889b1c615c0c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad3fd4136244e42ad89b01c02b904336d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad3fd4136244e42ad89b01c02b904336d">dilation</a></td></tr> |
| <tr class="separator:ad3fd4136244e42ad89b01c02b904336d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1f8aca235c095df227e7444f6b237eb1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a></td></tr> |
| <tr class="separator:a1f8aca235c095df227e7444f6b237eb1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a64a08a9fec5aeee8650e7182b6d171d0"><td class="memItemLeft" align="right" valign="top">CLTensor </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = create_tensor<CLTensor>(weights_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127))</td></tr> |
| <tr class="separator:a64a08a9fec5aeee8650e7182b6d171d0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3a77be8aebd8e00522b32061d46ccdbd"><td class="memItemLeft" align="right" valign="top">CLTensor </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = create_tensor<CLTensor>(bias_shape, bias_data_type, 1, QuantizationInfo(2.f / 255.f, 127))</td></tr> |
| <tr class="separator:a3a77be8aebd8e00522b32061d46ccdbd"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aec2bf1a2d6e75d2bb845dd3fdba02bc4"><td class="memItemLeft" align="right" valign="top">const QuantizationInfo </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#aec2bf1a2d6e75d2bb845dd3fdba02bc4">src_quantization_info</a> = src.info()->quantization_info()</td></tr> |
| <tr class="separator:aec2bf1a2d6e75d2bb845dd3fdba02bc4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:afff44a0110c3767f144c9cb8e6f81625"><td class="memItemLeft" align="right" valign="top">const QuantizationInfo </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#afff44a0110c3767f144c9cb8e6f81625">weights_quantization_info</a> = weights.info()->quantization_info()</td></tr> |
| <tr class="separator:afff44a0110c3767f144c9cb8e6f81625"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abfb048093787b1a7878fea54e60430a4"><td class="memItemLeft" align="right" valign="top">const ValidRegion </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#abfb048093787b1a7878fea54e60430a4">src_valid_region</a> = shape_to_valid_region(input_shape)</td></tr> |
| <tr class="separator:abfb048093787b1a7878fea54e60430a4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a38297b12b5b28c686788eaf2f05eaec8"><td class="memItemLeft" align="right" valign="top">const ValidRegion </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a38297b12b5b28c686788eaf2f05eaec8">weights_valid_region</a> = shape_to_valid_region(weights_shape)</td></tr> |
| <tr class="separator:a38297b12b5b28c686788eaf2f05eaec8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af42ac4b2bf87fe75b10d2b29371da967"><td class="memItemLeft" align="right" valign="top">const ValidRegion </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#af42ac4b2bf87fe75b10d2b29371da967">bias_valid_region</a> = shape_to_valid_region(bias_shape)</td></tr> |
| <tr class="separator:af42ac4b2bf87fe75b10d2b29371da967"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0f3dc00a54fa25a6e8d565b5c8b56ea0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0f3dc00a54fa25a6e8d565b5c8b56ea0">CLGEMMConvolutionLayerFixture< float ></a></td></tr> |
| <tr class="separator:a0f3dc00a54fa25a6e8d565b5c8b56ea0"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6716299a6877933f664cdc9796f6c924"><td class="memItemLeft" align="right" valign="top">const auto </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">QuantizedActivationFunctionsDataset</a></td></tr> |
| <tr class="memdesc:a6716299a6877933f664cdc9796f6c924"><td class="mdescLeft"> </td><td class="mdescRight">Input data sets. <a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6716299a6877933f664cdc9796f6c924">More...</a><br /></td></tr> |
| <tr class="separator:a6716299a6877933f664cdc9796f6c924"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0c4de6fef335f27d37630b6f16ed0f24"><td class="memItemLeft" align="right" valign="top">const auto </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a0c4de6fef335f27d37630b6f16ed0f24">QuantizedActivationFunctionsSmallDataset</a></td></tr> |
| <tr class="separator:a0c4de6fef335f27d37630b6f16ed0f24"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a35ac9eed0f8401a833752c2c56c5041c"><td class="memItemLeft" align="right" valign="top">const auto </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#a35ac9eed0f8401a833752c2c56c5041c">QuantizationData</a></td></tr> |
| <tr class="separator:a35ac9eed0f8401a833752c2c56c5041c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adda980a6f6ff459cb9b0a1720cd8fbe8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml#adda980a6f6ff459cb9b0a1720cd8fbe8">CLGEMMGroupedConvolutionLayerFixture< half ></a></td></tr> |
| <tr class="separator:adda980a6f6ff459cb9b0a1720cd8fbe8"><td class="memSeparator" colspan="2"> </td></tr> |
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