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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_BENCHMARK_NEON_GEMM_H__
#define __ARM_COMPUTE_TEST_BENCHMARK_NEON_GEMM_H__
#include "TensorLibrary.h"
#include "Utils.h"
#include "dataset/GEMMDataset.h"
#include <memory>
using namespace arm_compute;
using namespace arm_compute::test;
using namespace arm_compute::test::benchmark;
namespace arm_compute
{
namespace test
{
namespace benchmark
{
// FIXME: Merge with CL/GEMM.h into common/GEMM.h after adding F16 support to NEON GEMM and QS8 support to CL GEMM
template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType data_type>
class GEMM : public ::benchmark::Fixture
{
public:
void SetUp(::benchmark::State &state) override
{
#ifdef ENABLE_FP16
ARM_COMPUTE_ERROR_ON_MSG(data_type != DataType::F16 && data_type != DataType::F32 && data_type != DataType::QS8, "Unsupported data type for GEMM operation");
#else /* ENABLE_FP16 */
ARM_COMPUTE_ERROR_ON_MSG(data_type != DataType::F32 && data_type != DataType::QS8, "Unsupported data type for GEMM operation");
#endif /* ENABLE_FP16 */
profiler.add(std::make_shared<WallClockTimer>());
const GEMMDataObject gemm_obj = *(DataSet().begin() + state.range(0));
TensorShape shape_a = gemm_obj.shape_a;
TensorShape shape_b = gemm_obj.shape_b;
TensorShape shape_c = gemm_obj.shape_c;
TensorShape shape_d = gemm_obj.shape_d;
// Create tensors
a = create_tensor(shape_a, data_type, 1, 4);
b = create_tensor(shape_b, data_type, 1, 4);
c = create_tensor(shape_c, data_type, 1, 4);
d = create_tensor(shape_d, data_type, 1, 4);
// Create and configure function
gemm_layer = std::unique_ptr<Function>(new Function());
gemm_layer->configure(&a, &b, &c, &d, gemm_obj.alpha, gemm_obj.beta);
// Allocate tensors
a.allocator()->allocate();
b.allocator()->allocate();
c.allocator()->allocate();
d.allocator()->allocate();
}
void TearDown(::benchmark::State &state) override
{
gemm_layer.reset();
a.allocator()->free();
b.allocator()->free();
c.allocator()->free();
d.allocator()->free();
profiler.submit(state);
}
std::unique_ptr<Function> gemm_layer{ nullptr };
Profiler profiler{};
private:
TensorType a{};
TensorType b{};
TensorType c{};
TensorType d{};
};
} // namespace benchmark
} // namespace test
} // namespace arm_compute
#endif //__ARM_COMPUTE_TEST_BENCHMARK_NEON_GEMM_H__
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