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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_GEMM_TRANSPOSE_1XW_FIXTURE
#define ARM_COMPUTE_TEST_GEMM_TRANSPOSE_1XW_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/GEMMTranspose1xW.h"
#include <random>
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class GEMMTranspose1xWValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(size_t x, size_t y, DataType data_type)
{
_data_type = data_type;
const TensorShape shape_a(x, y);
const unsigned int transpose_w = 16 / data_size_from_type(data_type);
const TensorShape shape_b(static_cast<size_t>(y * transpose_w), static_cast<size_t>(std::ceil(x / static_cast<float>(transpose_w))));
_target = compute_target(shape_a, shape_b, data_type);
_reference = compute_reference(shape_a, data_type);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
switch(tensor.data_type())
{
case DataType::F16:
case DataType::F32:
{
std::uniform_real_distribution<> distribution(-1.f, 1.f);
library->fill(tensor, distribution, i);
break;
}
default:
library->fill_tensor_uniform(tensor, i);
break;
}
}
TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, DataType data_type)
{
// Create tensors
TensorType a = create_tensor<TensorType>(shape_a, data_type, 1);
TensorType b = create_tensor<TensorType>(shape_b, data_type, 1);
// Create and configure function
FunctionType f;
f.configure(&a, &b);
ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
a.allocator()->allocate();
b.allocator()->allocate();
ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(a), 0);
fill(AccessorType(b), 1);
// Compute GEMM function
f.run();
return b;
}
SimpleTensor<T> compute_reference(const TensorShape &shape_a, DataType data_type)
{
// Create reference
SimpleTensor<T> a{ shape_a, data_type, 1 };
// Fill reference
fill(a, 0);
return reference::gemm_transpose_1xW<T>(a);
}
TensorType _target{};
SimpleTensor<T> _reference{};
DataType _data_type{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_GEMM_TRANSPOSE_1XW_FIXTURE */
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