From 05069f07bcf95676597698a79926327555276362 Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Thu, 26 Sep 2019 17:18:26 +0100 Subject: COMPMID-2515: Merge optimized depthwise convolution to the generic depthwise convolution function 3RDPARTY_UPDATE Change-Id: Iff9e915c5329c617527b6f5042979f4e21a8b2b8 Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/2022 Comments-Addressed: Arm Jenkins Reviewed-by: Giorgio Arena Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas --- tests/benchmark/CL/DepthwiseConvolutionLayer.cpp | 4 +- .../validation/NEON/DepthwiseConvolutionLayer.cpp | 63 +++--- .../NEON/DepthwiseConvolutionLayerNative.cpp | 212 +++++++++++++++++++++ .../NEON/DepthwiseConvolutionNativeLayer.cpp | 212 --------------------- 4 files changed, 243 insertions(+), 248 deletions(-) create mode 100644 tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp delete mode 100644 tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp (limited to 'tests') diff --git a/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp b/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp index 5cef7bb404..0e2696198d 100644 --- a/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp +++ b/tests/benchmark/CL/DepthwiseConvolutionLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2018 ARM Limited. + * Copyright (c) 2017-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -40,7 +40,7 @@ namespace test namespace benchmark { const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QASYMM8 }); -using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerFixture; +using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerFixture; TEST_SUITE(CL) diff --git a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp index 0b482ff9b3..37d2373d7b 100644 --- a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp +++ b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp @@ -157,7 +157,7 @@ DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true })), input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier,dilation, expected) { - bool is_valid = bool(NEDepthwiseConvolutionLayerOptimized::validate(&input_info.clone()->set_is_resizable(false), + bool is_valid = bool(NEDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, ActivationLayerInfo(), dilation)); ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); } @@ -248,12 +248,12 @@ DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip } // clang-format on // *INDENT-ON* +template +using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture; TEST_SUITE(Float) TEST_SUITE(F32) TEST_SUITE(Generic) -template -using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture; FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", @@ -295,20 +295,17 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture, fram TEST_SUITE_END() // Dilation TEST_SUITE_END() // Generic -template -using NEDepthwiseConvolutionLayerFixtureOptimized = DepthwiseConvolutionLayerValidationFixture; - TEST_SUITE(W3x3) -FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), - depth_multipliers), - framework::dataset::make("DataType", - DataType::F32)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + depth_multipliers), + framework::dataset::make("DataType", + DataType::F32)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f32); } -FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::NIGHTLY, +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), large_depth_multipliers), framework::dataset::make("DataType", @@ -319,7 +316,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::ALL, +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make("DataType", @@ -329,7 +326,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::NIGHTLY, +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), large_depth_multipliers), framework::dataset::make("DataType", @@ -344,7 +341,7 @@ TEST_SUITE_END() // Dilation TEST_SUITE_END() // W3x3 TEST_SUITE(Optimized) -FIXTURE_DATA_TEST_CASE(RunSmall3x3, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::PRECOMMIT, +FIXTURE_DATA_TEST_CASE(RunSmall3x3, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", @@ -354,7 +351,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall3x3, NEDepthwiseConvolutionLayerFixtureOptimized< { validate(Accessor(_target), _reference, tolerance_f32); } -FIXTURE_DATA_TEST_CASE(RunSmall5x5, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::PRECOMMIT, +FIXTURE_DATA_TEST_CASE(RunSmall5x5, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", @@ -364,7 +361,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall5x5, NEDepthwiseConvolutionLayerFixtureOptimized< { validate(Accessor(_target), _reference, tolerance_f32); } -FIXTURE_DATA_TEST_CASE(RunLarge3x3, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::NIGHTLY, +FIXTURE_DATA_TEST_CASE(RunLarge3x3, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", @@ -380,8 +377,6 @@ TEST_SUITE_END() // F32 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(F16) TEST_SUITE(Generic) -template -using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture; FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers), framework::dataset::make("DataType", @@ -424,18 +419,18 @@ TEST_SUITE_END() // Dilation TEST_SUITE_END() // Generic template -using NEDepthwiseConvolutionLayerFixtureOptimized = DepthwiseConvolutionLayerValidationFixture; +using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture; TEST_SUITE(W3x3) -FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), - depth_multipliers), - framework::dataset::make("DataType", - DataType::F16)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), - ActivationFunctionsDataset)) +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + depth_multipliers), + framework::dataset::make("DataType", + DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + ActivationFunctionsDataset)) { validate(Accessor(_target), _reference, tolerance_f16); } -FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::NIGHTLY, +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), large_depth_multipliers), framework::dataset::make("DataType", @@ -448,7 +443,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::ALL, +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(datasets::SmallDepthwiseDilatedConvolutionLayerDataset3x3(), depth_multipliers), framework::dataset::make("DataType", @@ -458,7 +453,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::NIGHTLY, +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDepthwiseDilatedConvolutionLayerDataset3x3(), large_depth_multipliers), framework::dataset::make("DataType", @@ -473,7 +468,7 @@ TEST_SUITE_END() // Dilation TEST_SUITE_END() // W3x3 TEST_SUITE(Optimized) -FIXTURE_DATA_TEST_CASE(RunSmallW3x3, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::PRECOMMIT, +FIXTURE_DATA_TEST_CASE(RunSmallW3x3, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", @@ -483,7 +478,7 @@ FIXTURE_DATA_TEST_CASE(RunSmallW3x3, NEDepthwiseConvolutionLayerFixtureOptimized { validate(Accessor(_target), _reference, tolerance_f16); } -FIXTURE_DATA_TEST_CASE(RunSmallW5x5, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::PRECOMMIT, +FIXTURE_DATA_TEST_CASE(RunSmallW5x5, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallOptimizedDepthwiseConvolutionLayerDataset5x5(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", @@ -493,7 +488,7 @@ FIXTURE_DATA_TEST_CASE(RunSmallW5x5, NEDepthwiseConvolutionLayerFixtureOptimized { validate(Accessor(_target), _reference, tolerance_f16); } -FIXTURE_DATA_TEST_CASE(RunLargeW3x3, NEDepthwiseConvolutionLayerFixtureOptimized, framework::DatasetMode::NIGHTLY, +FIXTURE_DATA_TEST_CASE(RunLargeW3x3, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeOptimizedDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DepthMultiplier", 1)), framework::dataset::make("DataType", @@ -510,7 +505,7 @@ TEST_SUITE_END() // FP16 TEST_SUITE_END() // Float template -using NEDepthwiseConvolutionLayerQuantizedFixtureOptimized = DepthwiseConvolutionLayerValidationQuantizedFixture; +using NEDepthwiseConvolutionLayerQuantizedFixtureOptimized = DepthwiseConvolutionLayerValidationQuantizedFixture; template using NEDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture; using NEDepthwiseConvolutionLayerQuantizedSymmetricPerChannelFixture = DepthwiseConvolutionLayerValidationQuantizedPerChannelFixture; diff --git a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp new file mode 100644 index 0000000000..64f6a93255 --- /dev/null +++ b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp @@ -0,0 +1,212 @@ +/* + * Copyright (c) 2019 ARM Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h" +#include "tests/NEON/Accessor.h" +#include "tests/NEON/Helper.h" +#include "tests/framework/Macros.h" +#include "tests/framework/datasets/Datasets.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +using namespace arm_compute::misc::shape_calculator; + +// Create function for NEDepthwiseConvolutionLayerKernel +using NEDepthwiseConvolutionLayerNative = NESynthetizeFunctionWithZeroConstantKernelBorder; + +// Fixture for NEDepthwiseConvolutionLayerKernel +template +using NEDepthwiseConvolutionLayerNativeFixture = DepthwiseConvolutionLayerNativeValidationFixture; + +namespace +{ +// *INDENT-OFF* +// clang-format off +RelativeTolerance rel_tolerance_f32(0.001f); +constexpr float abs_tolerance_f32(0.0001f); + +/** Width values to test - Precommit */ +const auto width_values_precommit = framework::dataset::make("width", { 17U } ); + +/** Width values to test - Nightly */ +const auto width_values_nightly = framework::dataset::make("width", { 53U, 47U } ); + +/** Height values to test - Precommit */ +const auto height_values_precommit = framework::dataset::make("height", { 19U } ); + +/** Height values to test - Nightly */ +const auto height_values_nightly = framework::dataset::make("height", { 39U, 43U } ); + +/** Channel values to test - Precommit */ +const auto channel_values_precommit = framework::dataset::make("channels", { 15U }); + +/** Channel values to test - Nightly */ +const auto channel_values_nightly = framework::dataset::make("channels", { 33U, 19U }); + +/** Batch values to test - Precommit */ +const auto batch_values_precommit = framework::dataset::make("batch", { 1U, 2U }); + +/** Batch values to test - Nightly */ +const auto batch_values_nightly = framework::dataset::make("batch", { 1U, 3U }); + +/** Kernel size values to test - Precommit */ +const auto kernel_sz_values_precommit = framework::dataset::make("kernel_size", { Size2D(1U, 1U), Size2D(1U, 3U) }); + +/** Kernel size values to test - Nightly */ +const auto kernel_sz_values_nightly = framework::dataset::make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 1U), Size2D(1U, 7U), Size2D(9U, 7U) }); + +/** Depth multiplier values to test - All */ +const auto depth_multiplier_values = framework::dataset::make("depth_multiplier", { 1U, 3U }); + +/** Dilation values to test - All */ +const auto dilation_values = framework::dataset::make("dilation", { Size2D(1U, 1U), Size2D(3U, 3U) }); + +/** Stride values to test - All */ +const auto stride_values = framework::dataset::make("stride", { Size2D(1U, 1U), Size2D(3U, 2U) }); + +/** Padding values to test - All */ +const auto padding_valid_values = framework::dataset::make("padding_valid", { true, false }); + +/** Data type values to test - All */ +const auto data_type_values = framework::dataset::make("data_type", { DataType::F32 }); + +/** Data layout values to test - All */ +const auto data_layout_values = framework::dataset::make("data_layout", { DataLayout::NHWC }); + +/** Configuration test */ +void validate_configuration(size_t width_value, size_t height_value, size_t channel_value, size_t batch_value, Size2D kernel_sz_value, size_t depth_multiplier_value, Size2D dilation_value, Size2D stride_value, bool padding_valid_value, DataType data_type_value, DataLayout data_layout_value) +{ + TensorShape src_shape(width_value, height_value, channel_value, batch_value); + TensorShape weights_shape(kernel_sz_value.width, kernel_sz_value.height, channel_value * depth_multiplier_value); + TensorShape biases_shape(channel_value * depth_multiplier_value); + + if(data_layout_value == DataLayout::NHWC) + { + permute(src_shape, PermutationVector(2U, 0U, 1U, 3U)); + permute(weights_shape, PermutationVector(2U, 0U, 1U)); + } + + TensorInfo src_info(src_shape, 1, data_type_value); + TensorInfo weights_info(weights_shape, 1, data_type_value); + TensorInfo biases_info(biases_shape, 1, data_type_value); + + src_info.set_data_layout(data_layout_value); + weights_info.set_data_layout(data_layout_value); + biases_info.set_data_layout(data_layout_value); + + PadStrideInfo conv_info; + if(padding_valid_value) + { + conv_info = PadStrideInfo(); + } + else + { + conv_info = calculate_same_pad(src_shape, weights_shape, PadStrideInfo(stride_value.width, stride_value.height), data_layout_value, dilation_value); + } + + const TensorShape dst_shape = compute_depthwise_convolution_shape(src_info, weights_info, conv_info, depth_multiplier_value, dilation_value); + + // Create tensors + Tensor src = create_tensor(src_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + Tensor weights = create_tensor(weights_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + Tensor biases = create_tensor(biases_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + Tensor dst = create_tensor(dst_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(biases.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + NEDepthwiseConvolutionLayerNative dwc; + dwc.configure(&src, &weights, &biases, &dst, conv_info, depth_multiplier_value, dilation_value); +} +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(DepthwiseConvolutionLayerNative) +TEST_SUITE(Float) +TEST_SUITE(FP32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, + height_values_precommit), + channel_values_precommit), + batch_values_precommit), + kernel_sz_values_precommit), + depth_multiplier_values), + dilation_values), + stride_values), + padding_valid_values), + data_type_values), + data_layout_values), +width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value) +{ + validate_configuration(width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerNativeFixture, framework::DatasetMode::ALL, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, + height_values_precommit), + channel_values_precommit), + batch_values_precommit), + kernel_sz_values_precommit), + depth_multiplier_values), + dilation_values), + stride_values), + padding_valid_values), + data_type_values), + data_layout_values)) +{ + // Validate output + validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerNativeFixture, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_nightly, + height_values_nightly), + channel_values_nightly), + batch_values_nightly), + kernel_sz_values_nightly), + depth_multiplier_values), + dilation_values), + stride_values), + padding_valid_values), + data_type_values), + data_layout_values)) +{ + // Validate output + validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); +} + +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float +TEST_SUITE_END() // DepthwiseConvolutionLayerNative +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute \ No newline at end of file diff --git a/tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp deleted file mode 100644 index 64f6a93255..0000000000 --- a/tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp +++ /dev/null @@ -1,212 +0,0 @@ -/* - * Copyright (c) 2019 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h" -#include "tests/NEON/Accessor.h" -#include "tests/NEON/Helper.h" -#include "tests/framework/Macros.h" -#include "tests/framework/datasets/Datasets.h" -#include "tests/validation/Validation.h" -#include "tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -using namespace arm_compute::misc::shape_calculator; - -// Create function for NEDepthwiseConvolutionLayerKernel -using NEDepthwiseConvolutionLayerNative = NESynthetizeFunctionWithZeroConstantKernelBorder; - -// Fixture for NEDepthwiseConvolutionLayerKernel -template -using NEDepthwiseConvolutionLayerNativeFixture = DepthwiseConvolutionLayerNativeValidationFixture; - -namespace -{ -// *INDENT-OFF* -// clang-format off -RelativeTolerance rel_tolerance_f32(0.001f); -constexpr float abs_tolerance_f32(0.0001f); - -/** Width values to test - Precommit */ -const auto width_values_precommit = framework::dataset::make("width", { 17U } ); - -/** Width values to test - Nightly */ -const auto width_values_nightly = framework::dataset::make("width", { 53U, 47U } ); - -/** Height values to test - Precommit */ -const auto height_values_precommit = framework::dataset::make("height", { 19U } ); - -/** Height values to test - Nightly */ -const auto height_values_nightly = framework::dataset::make("height", { 39U, 43U } ); - -/** Channel values to test - Precommit */ -const auto channel_values_precommit = framework::dataset::make("channels", { 15U }); - -/** Channel values to test - Nightly */ -const auto channel_values_nightly = framework::dataset::make("channels", { 33U, 19U }); - -/** Batch values to test - Precommit */ -const auto batch_values_precommit = framework::dataset::make("batch", { 1U, 2U }); - -/** Batch values to test - Nightly */ -const auto batch_values_nightly = framework::dataset::make("batch", { 1U, 3U }); - -/** Kernel size values to test - Precommit */ -const auto kernel_sz_values_precommit = framework::dataset::make("kernel_size", { Size2D(1U, 1U), Size2D(1U, 3U) }); - -/** Kernel size values to test - Nightly */ -const auto kernel_sz_values_nightly = framework::dataset::make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 1U), Size2D(1U, 7U), Size2D(9U, 7U) }); - -/** Depth multiplier values to test - All */ -const auto depth_multiplier_values = framework::dataset::make("depth_multiplier", { 1U, 3U }); - -/** Dilation values to test - All */ -const auto dilation_values = framework::dataset::make("dilation", { Size2D(1U, 1U), Size2D(3U, 3U) }); - -/** Stride values to test - All */ -const auto stride_values = framework::dataset::make("stride", { Size2D(1U, 1U), Size2D(3U, 2U) }); - -/** Padding values to test - All */ -const auto padding_valid_values = framework::dataset::make("padding_valid", { true, false }); - -/** Data type values to test - All */ -const auto data_type_values = framework::dataset::make("data_type", { DataType::F32 }); - -/** Data layout values to test - All */ -const auto data_layout_values = framework::dataset::make("data_layout", { DataLayout::NHWC }); - -/** Configuration test */ -void validate_configuration(size_t width_value, size_t height_value, size_t channel_value, size_t batch_value, Size2D kernel_sz_value, size_t depth_multiplier_value, Size2D dilation_value, Size2D stride_value, bool padding_valid_value, DataType data_type_value, DataLayout data_layout_value) -{ - TensorShape src_shape(width_value, height_value, channel_value, batch_value); - TensorShape weights_shape(kernel_sz_value.width, kernel_sz_value.height, channel_value * depth_multiplier_value); - TensorShape biases_shape(channel_value * depth_multiplier_value); - - if(data_layout_value == DataLayout::NHWC) - { - permute(src_shape, PermutationVector(2U, 0U, 1U, 3U)); - permute(weights_shape, PermutationVector(2U, 0U, 1U)); - } - - TensorInfo src_info(src_shape, 1, data_type_value); - TensorInfo weights_info(weights_shape, 1, data_type_value); - TensorInfo biases_info(biases_shape, 1, data_type_value); - - src_info.set_data_layout(data_layout_value); - weights_info.set_data_layout(data_layout_value); - biases_info.set_data_layout(data_layout_value); - - PadStrideInfo conv_info; - if(padding_valid_value) - { - conv_info = PadStrideInfo(); - } - else - { - conv_info = calculate_same_pad(src_shape, weights_shape, PadStrideInfo(stride_value.width, stride_value.height), data_layout_value, dilation_value); - } - - const TensorShape dst_shape = compute_depthwise_convolution_shape(src_info, weights_info, conv_info, depth_multiplier_value, dilation_value); - - // Create tensors - Tensor src = create_tensor(src_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); - Tensor weights = create_tensor(weights_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); - Tensor biases = create_tensor(biases_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); - Tensor dst = create_tensor(dst_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(biases.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - NEDepthwiseConvolutionLayerNative dwc; - dwc.configure(&src, &weights, &biases, &dst, conv_info, depth_multiplier_value, dilation_value); -} -} // namespace - -TEST_SUITE(NEON) -TEST_SUITE(DepthwiseConvolutionLayerNative) -TEST_SUITE(Float) -TEST_SUITE(FP32) -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, - height_values_precommit), - channel_values_precommit), - batch_values_precommit), - kernel_sz_values_precommit), - depth_multiplier_values), - dilation_values), - stride_values), - padding_valid_values), - data_type_values), - data_layout_values), -width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value) -{ - validate_configuration(width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value); -} - -FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerNativeFixture, framework::DatasetMode::ALL, - combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, - height_values_precommit), - channel_values_precommit), - batch_values_precommit), - kernel_sz_values_precommit), - depth_multiplier_values), - dilation_values), - stride_values), - padding_valid_values), - data_type_values), - data_layout_values)) -{ - // Validate output - validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); -} - -FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerNativeFixture, framework::DatasetMode::NIGHTLY, - combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_nightly, - height_values_nightly), - channel_values_nightly), - batch_values_nightly), - kernel_sz_values_nightly), - depth_multiplier_values), - dilation_values), - stride_values), - padding_valid_values), - data_type_values), - data_layout_values)) -{ - // Validate output - validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); -} - -TEST_SUITE_END() // FP32 -TEST_SUITE_END() // Float -TEST_SUITE_END() // DepthwiseConvolutionLayerNative -TEST_SUITE_END() // NEON -} // namespace validation -} // namespace test -} // namespace arm_compute \ No newline at end of file -- cgit v1.2.1