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/*
* Copyright (c) 2017-2018 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_CLGEMMMATRIXADDITIONKERNEL_H__
#define __ARM_COMPUTE_CLGEMMMATRIXADDITIONKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** OpenCL kernel to perform the in-place matrix addition between 2 matrices, taking into account that the second matrix might be weighted by a scalar value beta.
* The matrices must have the same dimensions
*
* @note This kernel is computed if and only if beta != 0.0.
*/
class CLGEMMMatrixAdditionKernel : public ICLKernel
{
public:
/** Default constructor */
CLGEMMMatrixAdditionKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLGEMMMatrixAdditionKernel(const CLGEMMMatrixAdditionKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLGEMMMatrixAdditionKernel &operator=(const CLGEMMMatrixAdditionKernel &) = delete;
/** Allow instances of this class to be moved */
CLGEMMMatrixAdditionKernel(CLGEMMMatrixAdditionKernel &&) = default;
/** Allow instances of this class to be moved */
CLGEMMMatrixAdditionKernel &operator=(CLGEMMMatrixAdditionKernel &&) = default;
/** Initialise the kernel's input, output and beta value
*
* @note The input and output tensors must have the same dimensions
*
* @param[in] input Input tensor (Matrix C). Data types supported: F16/F32
* @param[in, out] output Output tensor. If this kernel is used to finalize the GEMM result (alpha * AB + beta * C), output must contain the result obtained by @ref CLGEMMMatrixMultiplyKernel. Data type supported: same as @p input
* @param[in] beta Weight of matrix C
*/
void configure(const ICLTensor *input, ICLTensor *output, float beta);
/** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixAdditionKernel.
*
* @param[in] input Input tensor (Matrix C). Data types supported: F16/F32
* @param[in] output Output tensor. If this kernel is used to finalize the GEMM result (alpha * AB + beta * C), output must contain the result obtained by @ref CLGEMMMatrixMultiplyKernel. Data type supported: same as @p input
* @param[in] beta Weight of matrix C
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, float beta);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input;
ICLTensor *_output;
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_CLGEMMMATRIXADDITIONKERNEL_H__ */
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