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/*
* Copyright (c) 2018-2021 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_ARG_MIN_MAX_FIXTURE
#define ARM_COMPUTE_TEST_ARG_MIN_MAX_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/Helpers.h"
#include "tests/validation/reference/ReductionOperation.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArgMinMaxValidationBaseFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
{
_target = compute_target(shape, data_type, axis, op, q_info);
_reference = compute_reference(shape, data_type, axis, op, q_info);
}
protected:
template <typename U>
void fill(U &&tensor)
{
switch(tensor.data_type())
{
case DataType::F16:
{
arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
library->fill(tensor, distribution, 0);
break;
}
case DataType::F32:
{
std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
library->fill(tensor, distribution, 0);
break;
}
case DataType::S32:
{
std::uniform_int_distribution<int32_t> distribution(-100, 100);
library->fill(tensor, distribution, 0);
break;
}
case 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);
break;
}
case 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);
break;
}
default:
ARM_COMPUTE_ERROR("DataType for Elementwise Negation Not implemented");
}
}
TensorType compute_target(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
{
// Create tensors
TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, q_info);
TensorType dst;
// Create and configure function
FunctionType arg_min_max_layer;
arg_min_max_layer.configure(&src, axis, &dst, op);
ARM_COMPUTE_ASSERT(src.info()->is_resizable());
ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(src));
// Compute function
arg_min_max_layer.run();
return dst;
}
SimpleTensor<int32_t> compute_reference(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
{
// Create reference
SimpleTensor<T> src{ src_shape, data_type, 1, q_info };
// Fill reference
fill(src);
TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(src_shape, axis, false);
return reference::reduction_operation<T, int32_t>(src, output_shape, axis, op);
}
TensorType _target{};
SimpleTensor<int32_t> _reference{};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArgMinMaxValidationQuantizedFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo quantization_info)
{
ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArgMinMaxValidationFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op)
{
ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo());
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE */