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Diffstat (limited to 'tests/validation_new/CL/ActivationLayer.cpp')
| -rw-r--r-- | tests/validation_new/CL/ActivationLayer.cpp | 247 |
1 files changed, 0 insertions, 247 deletions
diff --git a/tests/validation_new/CL/ActivationLayer.cpp b/tests/validation_new/CL/ActivationLayer.cpp deleted file mode 100644 index c8fddc7db6..0000000000 --- a/tests/validation_new/CL/ActivationLayer.cpp +++ /dev/null @@ -1,247 +0,0 @@ -/* - * 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/CL/CLTensor.h" -#include "arm_compute/runtime/CL/CLTensorAllocator.h" -#include "arm_compute/runtime/CL/functions/CLActivationLayer.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/ActivationFunctionsDataset.h" -#include "tests/datasets_new/ShapeDatasets.h" -#include "tests/validation_new/Validation.h" -#include "tests/validation_new/fixtures/ActivationLayerFixture.h" -#include "tests/validation_new/half.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, - DataType::QS8, - DataType::QS16, -}); - -/** 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(CL) -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 = is_data_type_fixed_point(data_type) ? 3 : 0; - - // Create tensors - CLTensor src = create_tensor<CLTensor>(shape, data_type, 1, fixed_point_position); - CLTensor dst = create_tensor<CLTensor>(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 - CLActivationLayer 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 = 16 / arm_compute::data_size_from_type(data_type); - 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 CLActivationLayerFixture = ActivationValidationFixture<CLTensor, CLAccessor, CLActivationLayer, T>; - -TEST_SUITE(Float) -TEST_SUITE(FP16) -FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::F16))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); -} -FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::F16))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); -} -TEST_SUITE_END() - -TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); -} -FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); -} -TEST_SUITE_END() -TEST_SUITE_END() - -template <typename T> -using CLActivationLayerFixedPointFixture = ActivationValidationFixedPointFixture<CLTensor, CLAccessor, CLActivationLayer, T>; - -TEST_SUITE(Quantized) -TEST_SUITE(QS8) -// We test for fixed point precision [3,5] because [1,2] and [6,7] ranges cause -// overflowing issues in most of the transcendentals functions. -FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 3, 6))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); -} -FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 3, 6))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); -} -TEST_SUITE_END() - -TEST_SUITE(QS16) -// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14 -FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); -} -FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(CLAccessor(_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 |