/* * Copyright (c) 2017 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/CLConvolutionLayer.h" #include "framework/Asserts.h" #include "framework/Macros.h" #include "framework/datasets/Datasets.h" #include "tests/CL/CLAccessor.h" #include "tests/PaddingCalculator.h" #include "tests/datasets_new/LargeConvolutionLayerDataset.h" #include "tests/datasets_new/SmallConvolutionLayerDataset.h" #include "tests/validation_new/Validation.h" #include "tests/validation_new/fixtures/ConvolutionLayerFixture.h" #include "tests/validation_new/half.h" namespace arm_compute { namespace test { namespace validation { namespace { constexpr AbsoluteTolerance tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ constexpr AbsoluteTolerance tolerance_f16(0.1f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ constexpr AbsoluteTolerance tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ /** CNN data types */ const auto CNNDataTypes = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16, }); } // namespace TEST_SUITE(CL) TEST_SUITE(ConvolutionLayer) DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), input_shape, weights_shape, bias_shape, output_shape, info, data_type) { // Set fixed point position data type allowed int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0; // Create tensors CLTensor src = create_tensor(input_shape, data_type, 1, fixed_point_position); CLTensor weights = create_tensor(weights_shape, data_type, 1, fixed_point_position); CLTensor bias = create_tensor(bias_shape, data_type, 1, fixed_point_position); CLTensor dst = create_tensor(output_shape, data_type, 1, fixed_point_position); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function CLConvolutionLayer conv; conv.configure(&src, &weights, &bias, &dst, info); // Validate valid region const ValidRegion src_valid_region = shape_to_valid_region(input_shape); const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape); const ValidRegion bias_valid_region = shape_to_valid_region(bias_shape); const ValidRegion dst_valid_region = shape_to_valid_region(output_shape); validate(src.info()->valid_region(), src_valid_region); validate(weights.info()->valid_region(), weights_valid_region); validate(bias.info()->valid_region(), bias_valid_region); validate(dst.info()->valid_region(), dst_valid_region); // Validate padding //TODO(COMPMID-415) Need to validate padding? } template using CLConvolutionLayerFixture = ConvolutionValidationFixture; TEST_SUITE(Float) TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::F16))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::F16))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16); } TEST_SUITE_END() TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() TEST_SUITE_END() template using CLConvolutionLayerFixedPointFixture = ConvolutionValidationFixedPointFixture; TEST_SUITE(Quantized) TEST_SUITE(QS8) // We test for fixed point precision [4,6] FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixedPointFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::QS8)), framework::dataset::make("FractionalBits", 4, 7))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_q); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::QS8)), framework::dataset::make("FractionalBits", 4, 7))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_q); } TEST_SUITE_END() TEST_SUITE(QS16) // Testing for fixed point position [1,14) FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixedPointFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::QS16)), framework::dataset::make("FractionalBits", 1, 14))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_q); } FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixedPointFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("DataType", DataType::QS16)), framework::dataset::make("FractionalBits", 1, 14))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_q); } TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() TEST_SUITE_END() } // namespace validation } // namespace test } // namespace arm_compute