| /* |
| * 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 "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/LargeConvolutionLayerDataset.h" |
| #include "tests/datasets/SmallConvolutionLayerDataset.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/ConvolutionLayerFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| RelativeTolerance<float> tolerance_f32(0.05f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ |
| RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ |
| constexpr AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ |
| constexpr float tolerance_num = 0.07f; /**< Tolerance number */ |
| |
| /** 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<CLTensor>(input_shape, data_type, 1, fixed_point_position); |
| CLTensor weights = create_tensor<CLTensor>(weights_shape, data_type, 1, fixed_point_position); |
| CLTensor bias = create_tensor<CLTensor>(bias_shape, data_type, 1, fixed_point_position); |
| CLTensor dst = create_tensor<CLTensor>(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); |
| } |
| |
| template <typename T> |
| using CLConvolutionLayerFixture = ConvolutionValidationFixture<CLTensor, CLAccessor, CLConvolutionLayer, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| framework::dataset::make("DataType", |
| DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| framework::dataset::make("DataType", |
| DataType::F16))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| framework::dataset::make("DataType", |
| DataType::F32))) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using CLConvolutionLayerFixedPointFixture = ConvolutionValidationFixedPointFixture<CLTensor, CLAccessor, CLConvolutionLayer, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QS8) |
| // We test for fixed point precision [4,6] |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| 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<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| 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<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| 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<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeConvolutionLayerDataset(), |
| framework::dataset::make("ReshapeWeights", { true, false })), |
| 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 |
