/* * Copyright (c) 2017-2018 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "arm_compute/core/Types.h" #include "arm_compute/runtime/CL/CLTensor.h" #include "arm_compute/runtime/CL/CLTensorAllocator.h" #include "arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h" #include "tests/CL/CLAccessor.h" #include "tests/PaddingCalculator.h" #include "tests/datasets/DepthwiseConvolutionLayerDataset.h" #include "tests/framework/Asserts.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 { namespace { RelativeTolerance tolerance_f16(half_float::half(0.001)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ constexpr RelativeTolerance tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ constexpr AbsoluteTolerance tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */ } // namespace TEST_SUITE(CL) TEST_SUITE(DepthwiseConvolutionLayer) template using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture; TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() template using CLDepthwiseConvolutionLayerFixture3x3 = DepthwiseConvolutionLayerValidationFixture; TEST_SUITE(Float) TEST_SUITE(F16) TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_f16); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE(FP32) TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3, framework::DatasetMode::ALL, combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() template using CLDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture; template using CLDepthwiseConvolutionLayerQuantizedFixture3x3 = DepthwiseConvolutionLayerValidationQuantizedFixture; TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) TEST_SUITE(Generic) FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })), framework::dataset::make("DataLayout", DataLayout::NCHW))) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE_END() TEST_SUITE(W3x3) FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture3x3, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture3x3, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }))) { validate(CLAccessor(_target), _reference, tolerance_qasymm8); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute