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Diffstat (limited to 'tests/validation/GLES_COMPUTE/ActivationLayer.cpp')
| -rw-r--r-- | tests/validation/GLES_COMPUTE/ActivationLayer.cpp | 198 |
1 files changed, 198 insertions, 0 deletions
diff --git a/tests/validation/GLES_COMPUTE/ActivationLayer.cpp b/tests/validation/GLES_COMPUTE/ActivationLayer.cpp new file mode 100644 index 0000000000..23821d35fa --- /dev/null +++ b/tests/validation/GLES_COMPUTE/ActivationLayer.cpp @@ -0,0 +1,198 @@ +/* + * 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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" +#include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h" +#include "arm_compute/runtime/GLES_COMPUTE/functions/GCActivationLayer.h" +#include "tests/GLES_COMPUTE/GCAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets/ActivationFunctionsDataset.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/Validation.h" +#include "tests/validation/fixtures/ActivationLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Define tolerance of the activation layer. + * + * @param[in] activation The activation function used. + * @param[in] data_type Data type. + * + * @return Tolerance depending on the activation function. + */ +AbsoluteTolerance<float> tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type) +{ + constexpr float epsilon = 1e-6f; + + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::LINEAR: + return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.2f : epsilon); + case ActivationLayerInfo::ActivationFunction::SQUARE: + return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.1f : epsilon); + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + if(is_data_type_fixed_point(data_type)) + { + return AbsoluteTolerance<float>(5.f); + } + else + { + return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : epsilon); + } + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.00001f : epsilon); + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + case ActivationLayerInfo::ActivationFunction::SQRT: + if(is_data_type_fixed_point(data_type)) + { + return AbsoluteTolerance<float>(5.f); + } + else + { + return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : 0.00001f); + } + case ActivationLayerInfo::ActivationFunction::TANH: + if(is_data_type_fixed_point(data_type)) + { + return AbsoluteTolerance<float>(5.f); + } + else + { + return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : 0.00001f); + } + default: + return AbsoluteTolerance<float>(epsilon); + } +} + +/** CNN data types */ +const auto CNNDataTypes = framework::dataset::make("DataType", +{ + DataType::F16, + DataType::F32, +}); + +/** Input data sets. */ +const auto ActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); +} // namespace + +TEST_SUITE(GC) +TEST_SUITE(ActivationLayer) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make("InPlace", { false, true })), + shape, data_type, in_place) +{ + // Set fixed point position data type allowed + const int fixed_point_position = 0; + + // Create tensors + GCTensor src = create_tensor<GCTensor>(shape, data_type, 1, fixed_point_position); + GCTensor dst = create_tensor<GCTensor>(shape, data_type, 1, fixed_point_position); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + GCActivationLayer act_layer; + + if(in_place) + { + act_layer.configure(&src, nullptr, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS)); + } + else + { + act_layer.configure(&src, &dst, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS)); + } + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(src.info()->valid_region(), valid_region); + + if(!in_place) + { + validate(dst.info()->valid_region(), valid_region); + } + + // Validate padding + const int step = (arm_compute::data_size_from_type(data_type) == 4 ? 1 : 2); + const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); + validate(src.info()->padding(), padding); + + if(!in_place) + { + validate(dst.info()->padding(), padding); + } +} + +template <typename T> +using GCActivationLayerFixture = ActivationValidationFixture<GCTensor, GCAccessor, GCActivationLayer, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(GCAccessor(_target), _reference, tolerance(_function, _data_type)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(GCAccessor(_target), _reference, tolerance(_function, _data_type)); +} +TEST_SUITE_END() + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(GCAccessor(_target), _reference, tolerance(_function, _data_type)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(GCAccessor(_target), _reference, tolerance(_function, _data_type)); +} +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute |