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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_GEMM_INTERLEAVE_BLOCKED_FIXTURE
#define ARM_COMPUTE_TEST_GEMM_INTERLEAVE_BLOCKED_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/CPP/GEMMInterleaveBlocked.h"
#include "tests/validation/Helpers.h"
#include <random>
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, bool Transposed = false>
class GEMMInterleaveBlockedValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(size_t x, size_t y, int int_by, int block)
{
const float interleave_by_f32 = int_by;
const TensorShape shape_a(x, y);
const TensorShape shape_b(static_cast<size_t>(x * interleave_by_f32), static_cast<size_t>(std::ceil(y / interleave_by_f32)));
_target = compute_target(shape_a, shape_b, int_by, block);
_reference = compute_reference(shape_a, shape_b, int_by, block);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
ARM_COMPUTE_ERROR_ON(tensor.data_type() != DataType::U8);
std::uniform_int_distribution<> distribution(0, 255);
library->fill(tensor, distribution, i);
}
TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, int int_by, int block)
{
// Create tensors
TensorType a = create_tensor<TensorType>(shape_a, DataType::U8, 1);
TensorType b = create_tensor<TensorType>(shape_b, DataType::U8, 1);
// Create and configure function
FunctionType f;
f.configure(&a, &b, int_by, block, Transposed);
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);
// Compute GEMM function
f.run();
return b;
}
SimpleTensor<uint8_t> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, int int_by, int block)
{
// Create reference
SimpleTensor<uint8_t> a{ shape_a, DataType::U8, 1 };
SimpleTensor<uint8_t> b{ shape_b, DataType::U8, 1 };
// Fill reference
fill(a, 0);
return reference::gemm_interleave_blocked<uint8_t>(a, b, int_by, block, Transposed);
}
TensorType _target{};
SimpleTensor<uint8_t> _reference{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_GEMM_INTERLEAVE_BLOCKED_FIXTURE */
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