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Diffstat (limited to 'tests/validation_new/fixtures/ActivationLayerFixture.h')
-rw-r--r-- | tests/validation_new/fixtures/ActivationLayerFixture.h | 157 |
1 files changed, 0 insertions, 157 deletions
diff --git a/tests/validation_new/fixtures/ActivationLayerFixture.h b/tests/validation_new/fixtures/ActivationLayerFixture.h deleted file mode 100644 index bf0e7ba6ea..0000000000 --- a/tests/validation_new/fixtures/ActivationLayerFixture.h +++ /dev/null @@ -1,157 +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. - */ -#ifndef ARM_COMPUTE_TEST_ACTIVATION_LAYER_FIXTURE -#define ARM_COMPUTE_TEST_ACTIVATION_LAYER_FIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "framework/Asserts.h" -#include "framework/Fixture.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/validation_new/CPP/ActivationLayer.h" -#include "tests/validation_new/Helpers.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ActivationValidationFixedPointFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type, int fractional_bits) - { - _fractional_bits = fractional_bits; - _data_type = data_type; - _function = function; - - ActivationLayerInfo info(function, alpha_beta, alpha_beta); - - _target = compute_target(shape, in_place, info, data_type, fractional_bits); - _reference = compute_reference(shape, info, data_type, fractional_bits); - } - -protected: - template <typename U> - void fill(U &&tensor) - { - if(is_data_type_float(_data_type)) - { - float min_bound = 0; - float max_bound = 0; - std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<T>(_function, _data_type); - std::uniform_real_distribution<> distribution(min_bound, max_bound); - library->fill(tensor, distribution, 0); - } - else - { - int min_bound = 0; - int max_bound = 0; - std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<T>(_function, _data_type, _fractional_bits); - std::uniform_int_distribution<> distribution(min_bound, max_bound); - library->fill(tensor, distribution, 0); - } - } - - TensorType compute_target(const TensorShape &shape, bool in_place, ActivationLayerInfo info, DataType data_type, int fixed_point_position = 0) - { - // Create tensors - TensorType src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); - TensorType dst = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); - - // Create and configure function - FunctionType act_layer; - - TensorType *dst_ptr = in_place ? &src : &dst; - - act_layer.configure(&src, dst_ptr, info); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Allocate tensors - src.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); - - if(!in_place) - { - dst.allocator()->allocate(); - ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); - } - - // Fill tensors - fill(AccessorType(src)); - - // Compute function - act_layer.run(); - - if(in_place) - { - return src; - } - else - { - return dst; - } - } - - SimpleTensor<T> compute_reference(const TensorShape &shape, ActivationLayerInfo info, DataType data_type, int fixed_point_position = 0) - { - // Create reference - SimpleTensor<T> src{ shape, data_type, 1, fixed_point_position }; - - // Fill reference - fill(src); - - return reference::activation_layer<T>(src, info); - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; - int _fractional_bits{}; - DataType _data_type{}; - ActivationLayerInfo::ActivationFunction _function{}; -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class ActivationValidationFixture : public ActivationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T> -{ -public: - template <typename...> - void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type) - { - ActivationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, data_type, 0); - } -}; -} // namespace validation -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_ACTIVATION_LAYER_FIXTURE */ |