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/*
* Copyright (c) 2016, 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_CLGEMM_H__
#define __ARM_COMPUTE_CLGEMM_H__
#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
#include "arm_compute/core/CL/kernels/CLGEMMInterleave4x4Kernel.h"
#include "arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h"
#include "arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h"
#include "arm_compute/core/CL/kernels/CLGEMMTranspose1xWKernel.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/IFunction.h"
namespace arm_compute
{
class ICLTensor;
/** Basic function to execute GEMM on OpenCL. Data types supported: F32, F16. This function calls the following OpenCL kernels:
*
* -# @ref CLGEMMInterleave4x4Kernel (if the output tensor is a matrix)
* -# @ref CLGEMMTranspose1xWKernel (if the output tensor is a matrix)
* -# @ref CLGEMMMatrixMultiplyKernel
* -# @ref CLGEMMMatrixAdditionKernel (if c != nullptr and beta != 0.0)
*
*/
class CLGEMM : public IFunction
{
public:
/** Default constructor. */
CLGEMM();
/** Initialise the kernel's inputs and output
*
* @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C].
*
* @note All tensors must have the same data type. Data types supported: F32, F16
*
* @note Whilst the first input tensor can be a vector, the second input tensor must be at least a matrix
*
* @param[in] a First input tensor (Matrix or Vector A). Data types supported: F32, F16
* @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a.
* @param[in] c Third input tensor (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a.
* @param[out] output Output tensor. Data type supported: same as @p a
* @param[in] alpha Weight of the matrix product
* @param[in] beta Weight of matrix C
*/
void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, float alpha, float beta);
// Inherited methods overridden:
void run() override;
private:
CLGEMMInterleave4x4Kernel _interleave_kernel;
CLGEMMTranspose1xWKernel _transpose_kernel;
CLGEMMMatrixMultiplyKernel _mm_kernel;
CLGEMMMatrixAdditionKernel _ma_kernel;
CLTensor _tmp_a;
CLTensor _tmp_b;
bool _run_vector_matrix_multiplication;
bool _run_addition;
};
}
#endif /* __ARM_COMPUTE_CLGEMM_H__ */
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