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/*
* 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/ParametersLibrary.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.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:
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)
{
// Create tensors
TensorType src = create_tensor<TensorType>(shape, _data_type, 1, _input_quantization_info);
TensorType dst = create_tensor<TensorType>(shape, _data_type, 1, _output_quantization_info);
// Create and configure function
FunctionType act_layer(parameters->get_ctx<TensorType>());
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 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
{
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
{
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 */
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