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/*
* 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_ACCUMULATE_FIXTURE
#define ARM_COMPUTE_TEST_ACCUMULATE_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/validation/Helpers.h"
#include "tests/validation/reference/Accumulate.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class AccumulateBaseValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, DataType output_data_type)
{
_target = compute_target(shape, data_type, output_data_type);
_reference = compute_reference(shape, data_type, output_data_type);
}
protected:
template <typename U, typename D>
void fill(U &&tensor, int i, D max)
{
library->fill_tensor_uniform(tensor, i, static_cast<D>(0), max);
}
TensorType compute_target(const TensorShape &shape, DataType data_type, DataType output_data_type)
{
// Create tensors
TensorType ref_src = create_tensor<TensorType>(shape, data_type);
TensorType dst = create_tensor<TensorType>(shape, output_data_type);
// Create and configure function
FunctionType accum;
accum_conf(accum, ref_src, dst);
ARM_COMPUTE_EXPECT(ref_src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
ref_src.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!ref_src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
const T1 max = std::numeric_limits<T1>::max();
// Fill tensors
fill(AccessorType(ref_src), 0, max);
fill(AccessorType(dst), 1, static_cast<T2>(max));
// Compute function
accum.run();
return dst;
}
SimpleTensor<T2> compute_reference(const TensorShape &shape, DataType data_type, DataType output_data_type)
{
// Create reference
SimpleTensor<T1> ref_src{ shape, data_type };
const T1 max = std::numeric_limits<T1>::max();
// Fill reference
fill(ref_src, 0, max);
return accum_ref(ref_src, output_data_type);
}
virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) = 0;
virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) = 0;
TensorType _target{};
SimpleTensor<T2> _reference{};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class AccumulateValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, DataType output_data_type)
{
AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type);
}
virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override
{
func.configure(&input, &accum);
}
virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override
{
return reference::accumulate<T1, T2>(input, output_data_type);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class AccumulateWeightedValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, DataType output_data_type)
{
std::mt19937 gen(library->seed());
std::uniform_real_distribution<> float_dist(0, 1);
_alpha = float_dist(gen);
AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type);
}
virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override
{
func.configure(&input, _alpha, &accum);
}
virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override
{
return reference::accumulate_weighted<T1, T2>(input, _alpha, output_data_type);
}
float _alpha{ 0.f };
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class AccumulateSquaredValidationFixture : public AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
template <typename...>
void setup(TensorShape shape, DataType data_type, DataType output_data_type)
{
std::mt19937 gen(library->seed());
std::uniform_int_distribution<uint32_t> int_dist(0, 15);
_shift = int_dist(gen);
AccumulateBaseValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, data_type, output_data_type);
}
virtual void accum_conf(FunctionType &func, const TensorType &input, TensorType &accum) override
{
func.configure(&input, _shift, &accum);
}
virtual SimpleTensor<T2> accum_ref(const SimpleTensor<T1> &input, DataType output_data_type) override
{
return reference::accumulate_squared<T1, T2>(input, _shift, output_data_type);
}
uint32_t _shift{ 0U };
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_ACCUMULATE_FIXTURE */
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