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/*
* Copyright (c) 2017-2020 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_REDUCTION_OPERATION_FIXTURE
#define ARM_COMPUTE_TEST_REDUCTION_OPERATION_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/Tensor.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/validation/reference/ReductionOperation.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ReductionOperationValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info, bool keep_dims = false)
{
const bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN);
_keep_dims = keep_dims && !is_arg_min_max;
const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(shape, axis, _keep_dims);
_target = compute_target(shape, data_type, axis, op, quantization_info);
_reference = compute_reference(shape, output_shape, data_type, axis, op, quantization_info);
}
protected:
template <typename U>
void fill(U &&tensor)
{
if(!is_data_type_quantized(tensor.data_type()))
{
std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
library->fill(tensor, distribution, 0);
}
else
{
if(tensor.data_type() == DataType::QASYMM8)
{
std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f);
std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second);
library->fill(tensor, distribution, 0);
}
else if(tensor.data_type() == DataType::QASYMM8_SIGNED)
{
std::pair<int, int> bounds = get_quantized_qasymm8_signed_bounds(tensor.quantization_info(), -1.0f, 1.0f);
std::uniform_int_distribution<int8_t> distribution(bounds.first, bounds.second);
library->fill(tensor, distribution, 0);
}
else
{
ARM_COMPUTE_ERROR("Not supported");
}
}
}
TensorType compute_target(const TensorShape &src_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info)
{
// Create tensors
TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info);
TensorType dst;
// Create and configure function
FunctionType reduction_func;
reduction_func.configure(&src, &dst, axis, op, _keep_dims);
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();
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(src));
// Compute function
reduction_func.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &src_shape, const TensorShape &dst_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info)
{
// Create reference
SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info };
// Fill reference
fill(src);
return reference::reduction_operation<T, T>(src, dst_shape, axis, op);
}
TensorType _target{};
SimpleTensor<T> _reference{};
private:
bool _keep_dims{ false };
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ReductionOperationQuantizedFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info = QuantizationInfo(), bool keep_dims = false)
{
ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info, keep_dims);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ReductionOperationFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, bool keep_dims = false)
{
ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo(), keep_dims);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_REDUCTION_OPERATION_FIXTURE */
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