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/*
* Copyright (c) 2020-2021 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_LOGICAL_FIXTURE
#define ARM_COMPUTE_TEST_LOGICAL_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/reference/Logical.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class LogicalOperationValidationFixtureBase : public framework::Fixture
{
protected:
template <typename U>
void fill(U &&tensor, int i)
{
constexpr auto zero = static_cast<uint8_t>(0);
constexpr auto one = static_cast<uint8_t>(0x1);
constexpr auto mixed = static_cast<uint8_t>(0xAA);
constexpr auto mixed_bitwise_not = static_cast<uint8_t>((~0xAA));
library->fill_static_values(tensor, i == 0 ?
std::vector<uint8_t> { zero, one, zero, one, mixed, zero, mixed } :
std::vector<uint8_t> { zero, zero, one, one, zero, mixed, mixed_bitwise_not });
}
void allocate_tensor(std::initializer_list<TensorType *> tensors)
{
for(auto t : tensors)
{
ARM_COMPUTE_ASSERT(t->info()->is_resizable());
t->allocator()->allocate();
ARM_COMPUTE_ASSERT(!t->info()->is_resizable());
}
}
TensorType _target{};
SimpleTensor<T> _reference{};
};
template <typename T>
using LogicalBinaryRefFunctionPtrType = SimpleTensor<T>(const SimpleTensor<T> &, const SimpleTensor<T> &);
template <typename TensorType, typename AccessorType, typename FunctionType, typename T, LogicalBinaryRefFunctionPtrType<T> RefFunction>
class LogicalBinaryOperationValidationFixture : public LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>
{
using Parent = LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>;
public:
template <typename...>
void setup(TensorShape shape0, TensorShape shape1)
{
Parent::_target = compute_target(shape0, shape1);
Parent::_reference = compute_reference(shape0, shape1);
}
private:
TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1)
{
TensorType src0 = create_tensor<TensorType>(shape0, _data_type);
TensorType src1 = create_tensor<TensorType>(shape1, _data_type);
TensorType dst = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), _data_type);
FunctionType logical_binary_op;
logical_binary_op.configure(&src0, &src1, &dst);
Parent::allocate_tensor({ &src0, &src1, &dst });
Parent::fill(AccessorType(src0), 0);
Parent::fill(AccessorType(src1), 1);
logical_binary_op.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1)
{
// Create reference
SimpleTensor<T> src0{ shape0, _data_type };
SimpleTensor<T> src1{ shape1, _data_type };
// Fill reference
Parent::fill(src0, 0);
Parent::fill(src1, 1);
return RefFunction(src0, src1);
}
static constexpr auto _data_type = DataType::U8;
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
using LogicalOrValidationFixture = LogicalBinaryOperationValidationFixture<TensorType, AccessorType, FunctionType, T, &reference::logical_or<T>>;
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
using LogicalAndValidationFixture = LogicalBinaryOperationValidationFixture<TensorType, AccessorType, FunctionType, T, &reference::logical_and<T>>;
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class LogicalNotValidationFixture : public LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>
{
using Parent = LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>;
public:
template <typename...>
void setup(TensorShape shape, DataType data_type)
{
Parent::_target = compute_target(shape, data_type);
Parent::_reference = compute_reference(shape, data_type);
}
private:
TensorType compute_target(const TensorShape &shape, DataType data_type)
{
TensorType src = create_tensor<TensorType>(shape, data_type);
TensorType dst = create_tensor<TensorType>(shape, data_type);
FunctionType logical_not;
logical_not.configure(&src, &dst);
Parent::allocate_tensor({ &src, &dst });
Parent::fill(AccessorType(src), 0);
logical_not.run();
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type)
{
// Create reference
SimpleTensor<T> src{ shape, data_type };
// Fill reference
Parent::fill(src, 0);
return reference::logical_not<T>(src);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_LOGICAL_FIXTURE */