| /* |
| * Copyright (c) 2017-2019 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 "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/framework/ParametersLibrary.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/reference/ActivationLayer.h" |
| |
| #include <random> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ActivationValidationGenericFixture : public framework::Fixture |
| { |
| public: |
| ActivationValidationGenericFixture() |
| : _target(parameters->get_ctx<TensorType>()) |
| { |
| } |
| |
| template <typename...> |
| void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type, QuantizationInfo quantization_info) |
| { |
| ActivationLayerInfo info(function, alpha_beta, alpha_beta); |
| |
| _in_place = in_place; |
| _data_type = data_type; |
| _output_quantization_info = calculate_output_quantization_info(_data_type, info, quantization_info); |
| _input_quantization_info = in_place ? _output_quantization_info : quantization_info; |
| |
| _function = function; |
| _target = compute_target(shape, info); |
| _reference = compute_reference(shape, info); |
| } |
| |
| 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 if(is_data_type_quantized(tensor.data_type())) |
| { |
| library->fill_tensor_uniform(tensor, 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); |
| std::uniform_int_distribution<> distribution(min_bound, max_bound); |
| library->fill(tensor, distribution, 0); |
| } |
| } |
| |
| TensorType compute_target(const TensorShape &shape, ActivationLayerInfo info) |
| { |
| auto ctx = parameters->get_ctx<TensorType>(); |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(shape, _data_type, 1, _input_quantization_info, DataLayout::NCHW, ctx); |
| TensorType dst = create_tensor<TensorType>(shape, _data_type, 1, _output_quantization_info, DataLayout::NCHW, ctx); |
| |
| // Create and configure function |
| FunctionType act_layer(ctx); |
| |
| TensorType *dst_ptr = _in_place ? nullptr : &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) |
| { |
| // Create reference |
| SimpleTensor<T> src{ shape, _data_type, 1, _input_quantization_info }; |
| |
| // Fill reference |
| fill(src); |
| |
| return reference::activation_layer<T>(src, info, _output_quantization_info); |
| } |
| |
| private: |
| QuantizationInfo calculate_output_quantization_info(DataType dt, const ActivationLayerInfo &act_info, const QuantizationInfo &default_qinfo) |
| { |
| auto qasymm8_max = float(std::numeric_limits<uint8_t>::max()) + 1.f; |
| auto qasymm8_signed_max = float(std::numeric_limits<int8_t>::max()) + 1.f; |
| auto qsymm16_max = float(std::numeric_limits<int16_t>::max()) + 1.f; |
| |
| switch(act_info.activation()) |
| { |
| case ActivationLayerInfo::ActivationFunction::TANH: |
| if(dt == DataType::QSYMM16) |
| { |
| return QuantizationInfo(1.f / qsymm16_max, 0); |
| } |
| else if(dt == DataType::QASYMM8) |
| { |
| return QuantizationInfo(1.f / (0.5 * qasymm8_max), int(0.5 * qasymm8_max)); |
| } |
| else if(dt == DataType::QASYMM8_SIGNED) |
| { |
| return QuantizationInfo(1.f / qasymm8_signed_max, 0); |
| } |
| else |
| { |
| return default_qinfo; |
| } |
| case ActivationLayerInfo::ActivationFunction::LOGISTIC: |
| if(dt == DataType::QSYMM16) |
| { |
| return QuantizationInfo(1.f / qsymm16_max, 0); |
| } |
| else if(dt == DataType::QASYMM8) |
| { |
| return QuantizationInfo(1.f / qasymm8_max, 0); |
| } |
| else if(dt == DataType::QASYMM8_SIGNED) |
| { |
| return QuantizationInfo(1.f / (2.f * qasymm8_signed_max), -int(qasymm8_signed_max)); |
| } |
| else |
| { |
| return default_qinfo; |
| } |
| default: |
| return default_qinfo; |
| } |
| } |
| |
| protected: |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| bool _in_place{}; |
| QuantizationInfo _input_quantization_info{}; |
| QuantizationInfo _output_quantization_info{}; |
| DataType _data_type{}; |
| ActivationLayerInfo::ActivationFunction _function{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ActivationValidationFixture : public ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type) |
| { |
| ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, data_type, QuantizationInfo()); |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class ActivationValidationQuantizedFixture : public ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type, QuantizationInfo quantization_info) |
| { |
| ActivationValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, data_type, quantization_info); |
| } |
| }; |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_ACTIVATION_LAYER_FIXTURE */ |