307 lines
21 KiB
C++
307 lines
21 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/core/KernelDescriptors.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/CLTensorAllocator.h"
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#include "src/core/CL/kernels/CLDepthwiseConvolutionLayerNativeKernel.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/CL/Helper.h"
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#include "tests/PaddingCalculator.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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using namespace arm_compute::misc::shape_calculator;
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// Create function for CLDepthwiseConvolutionLayerNativeKernel
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using CLDepthwiseConvolutionLayerNative = CLSynthetizeFunction<CLDepthwiseConvolutionLayerNativeKernel>;
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// Fixture for CLDepthwiseConvolutionLayerNative
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template <typename T>
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using CLDepthwiseConvolutionLayerNativeFixture = DepthwiseConvolutionLayerNativeConfigurableValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayerNative, T>;
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namespace
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{
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// *INDENT-OFF*
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// clang-format off
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RelativeTolerance<float> rel_tolerance_f32(0.001f);
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constexpr float abs_tolerance_f32(0.0001f);
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RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.01f));
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constexpr float abs_tolerance_f16(0.03f);
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/** Width values to test - Precommit */
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const auto width_values_precommit = framework::dataset::make("width", { 37U } );
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/** Width values to test - Nightly */
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const auto width_values_nightly = framework::dataset::make("width", { 53U, 47U } );
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/** Height values to test - Precommit */
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const auto height_values_precommit = framework::dataset::make("height", { 19U } );
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/** Height values to test - Nightly */
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const auto height_values_nightly = framework::dataset::make("height", { 39U, 43U } );
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/** Channel values to test - Precommit */
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const auto channel_values_precommit = framework::dataset::make("channels", { 15U });
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/** Channel values to test - Nightly */
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const auto channel_values_nightly = framework::dataset::make("channels", { 33U, 19U });
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/** Batch values to test - Precommit */
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const auto batch_values_precommit = framework::dataset::make("batch", { 1U, 2U });
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/** Batch values to test - Nightly */
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const auto batch_values_nightly = framework::dataset::make("batch", { 1U, 3U });
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/** Kernel size values to test - Precommit */
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const auto kernel_sz_values_precommit = framework::dataset::make("kernel_size", { Size2D(1U, 1U), Size2D(1U, 3U), Size2D(5U, 5U) });
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/** Kernel size values to test - Nightly */
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const auto kernel_sz_values_nightly = framework::dataset::make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 1U), Size2D(1U, 7U), Size2D(9U, 7U) });
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/** Depth multiplier values to test - All */
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const auto depth_multiplier_values = framework::dataset::make("depth_multiplier", {3U});
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/** Dilation values to test - All */
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const auto dilation_values = framework::dataset::make("dilation", { Size2D(1U, 1U), Size2D(3U, 3U) });
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/** Stride values to test - All */
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const auto stride_values = framework::dataset::make("stride", { Size2D(1U, 1U), Size2D(3U, 2U) });
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/** Padding values to test - All */
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const auto padding_valid_values = framework::dataset::make("padding_valid", { true, false });
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/** Data type values to test - All */
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const auto data_type_values = framework::dataset::make("data_type", { DataType::F32, DataType::F16 });
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/** Data layout values to test - All */
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const auto data_layout_values = framework::dataset::make("data_layout", { DataLayout::NHWC });
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/** N0 values to test - Precommit */
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const auto n0_values_precommit = framework::dataset::make("N0", {2, 4});
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/** N0 values to test - Nightly */
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const auto n0_values_nightly = framework::dataset::make("N0", {3, 8});
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/** Activation values to test */
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const auto act_values = framework::dataset::make("Activation",
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{
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ActivationLayerInfo(),
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ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f),
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});
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} // namespace
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TEST_SUITE(CL)
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TEST_SUITE(DepthwiseConvolutionLayerNative)
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TEST_SUITE(Float)
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_precommit,
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height_values_precommit),
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channel_values_precommit),
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batch_values_precommit),
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kernel_sz_values_precommit),
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framework::dataset::make("depth_multiplier", 1)),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F32)),
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data_layout_values),
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act_values),
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n0_values_precommit))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_nightly,
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height_values_nightly),
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channel_values_nightly),
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batch_values_nightly),
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kernel_sz_values_nightly),
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framework::dataset::make("depth_multiplier", 1)),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F32)),
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data_layout_values),
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act_values),
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n0_values_nightly))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_precommit,
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height_values_precommit),
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channel_values_precommit),
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batch_values_precommit),
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kernel_sz_values_precommit),
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framework::dataset::make("depth_multiplier", 1)),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F16)),
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data_layout_values),
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act_values),
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n0_values_precommit))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_nightly,
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height_values_nightly),
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channel_values_nightly),
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batch_values_nightly),
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kernel_sz_values_nightly),
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framework::dataset::make("depth_multiplier", 1)),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F16)),
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data_layout_values),
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act_values),
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n0_values_nightly))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
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}
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TEST_SUITE_END() // FP16
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TEST_SUITE_END() // Float
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TEST_SUITE(DepthMultiplier)
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TEST_SUITE(Float)
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_precommit,
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height_values_precommit),
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channel_values_precommit),
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batch_values_precommit),
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kernel_sz_values_precommit),
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depth_multiplier_values),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F32)),
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data_layout_values),
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act_values),
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framework::dataset::make("N0", 1)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_nightly,
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height_values_nightly),
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channel_values_nightly),
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batch_values_nightly),
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kernel_sz_values_nightly),
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depth_multiplier_values),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F32)),
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data_layout_values),
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act_values),
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framework::dataset::make("N0", 1)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_precommit,
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height_values_precommit),
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channel_values_precommit),
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batch_values_precommit),
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kernel_sz_values_precommit),
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depth_multiplier_values),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F16)),
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data_layout_values),
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act_values),
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framework::dataset::make("N0", 1)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f16);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::NIGHTLY,
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combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
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width_values_nightly,
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height_values_nightly),
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channel_values_nightly),
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batch_values_nightly),
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kernel_sz_values_nightly),
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depth_multiplier_values),
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dilation_values),
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stride_values),
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padding_valid_values),
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framework::dataset::make("DataType", DataType::F16)),
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data_layout_values),
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act_values),
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framework::dataset::make("N0", 1)))
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{
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// Validate output
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validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
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}
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TEST_SUITE_END() // FP16
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TEST_SUITE_END() // Float
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TEST_SUITE_END() // DepthMultiplier
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TEST_SUITE_END() // DepthwiseConvolutionLayerNative
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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