| /* |
| * 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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/CL/functions/CLScale.h" |
| #include "arm_compute/runtime/Tensor.h" |
| #include "arm_compute/runtime/TensorAllocator.h" |
| #include "tests/CL/CLAccessor.h" |
| #include "tests/PaddingCalculator.h" |
| #include "tests/datasets/BorderModeDataset.h" |
| #include "tests/datasets/SamplingPolicyDataset.h" |
| #include "tests/datasets/ShapeDatasets.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/framework/datasets/Datasets.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/fixtures/ScaleFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** CNN data types */ |
| const auto ScaleDataTypes = framework::dataset::make("DataType", |
| { |
| DataType::U8, |
| DataType::S16, |
| DataType::F16, |
| DataType::F32, |
| }); |
| |
| /** Tolerance */ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); |
| constexpr AbsoluteTolerance<int16_t> tolerance_s16(1); |
| constexpr float tolerance_f32_absolute(0.001f); |
| |
| RelativeTolerance<float> tolerance_f32(0.05); |
| RelativeTolerance<half> tolerance_f16(half(0.1)); |
| |
| constexpr float tolerance_num_f32(0.01f); |
| } // namespace |
| |
| TEST_SUITE(CL) |
| TEST_SUITE(Scale) |
| |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::MediumShapes(), datasets::LargeShapes()), ScaleDataTypes), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies()), |
| shape, data_type, policy, border_mode, sampling_policy) |
| { |
| std::mt19937 generator(library->seed()); |
| std::uniform_real_distribution<float> distribution_float(0.25, 2); |
| const float scale_x = distribution_float(generator); |
| const float scale_y = distribution_float(generator); |
| std::uniform_int_distribution<uint8_t> distribution_u8(0, 255); |
| uint8_t constant_border_value = distribution_u8(generator); |
| |
| // Create tensors |
| CLTensor src = create_tensor<CLTensor>(shape, data_type); |
| TensorShape shape_scaled(shape); |
| shape_scaled.set(0, shape[0] * scale_x); |
| shape_scaled.set(1, shape[1] * scale_y); |
| CLTensor dst = create_tensor<CLTensor>(shape_scaled, data_type); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| CLScale clscale; |
| clscale.configure(&src, &dst, policy, border_mode, constant_border_value, sampling_policy); |
| |
| // Get border size depending on border mode |
| const BorderSize border_size(border_mode == BorderMode::UNDEFINED ? 0 : 1); |
| |
| // Validate valid region |
| const ValidRegion dst_valid_region = calculate_valid_region_scale(*(src.info()), shape_scaled, policy, sampling_policy, (border_mode == BorderMode::UNDEFINED)); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| |
| // Validate padding |
| PaddingCalculator calculator(shape_scaled.x(), 4); |
| calculator.set_border_mode(border_mode); |
| |
| const PaddingSize read_padding(border_size); |
| const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER); |
| validate(src.info()->padding(), read_padding); |
| validate(dst.info()->padding(), write_padding); |
| } |
| |
| template <typename T> |
| using CLScaleFixture = ScaleValidationFixture<CLTensor, CLAccessor, CLScale, T>; |
| |
| TEST_SUITE(Float) |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::F32)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32, tolerance_f32_absolute); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::F16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_f16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE(Integer) |
| TEST_SUITE(U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_u8); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_u8); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE(S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, CLScaleFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_s16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, CLScaleFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| framework::dataset::make("DataLayout", { DataLayout::NCHW })), |
| framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), |
| datasets::BorderModes()), |
| datasets::SamplingPolicies())) |
| { |
| //Create valid region |
| TensorInfo src_info(_shape, 1, _data_type); |
| const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); |
| |
| // Validate output |
| validate(CLAccessor(_target), _reference, valid_region, tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |