| /* |
| * 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_GCGEMMMATRIXADDITIONKERNEL_H__ |
| #define __ARM_COMPUTE_GCGEMMMATRIXADDITIONKERNEL_H__ |
| |
| #include "arm_compute/core/GLES_COMPUTE/IGCKernel.h" |
| |
| namespace arm_compute |
| { |
| class IGCTensor; |
| |
| /** OpenGL ES 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 GCGEMMMatrixAdditionKernel : public IGCKernel |
| { |
| public: |
| /** Default constructor */ |
| GCGEMMMatrixAdditionKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| GCGEMMMatrixAdditionKernel(const GCGEMMMatrixAdditionKernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| GCGEMMMatrixAdditionKernel &operator=(const GCGEMMMatrixAdditionKernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| GCGEMMMatrixAdditionKernel(GCGEMMMatrixAdditionKernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| GCGEMMMatrixAdditionKernel &operator=(GCGEMMMatrixAdditionKernel &&) = 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: 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 GCGEMMMatrixMultiplyKernel. Data type supported: same as @p input |
| * @param[in] beta Weight of matrix C |
| */ |
| void configure(const IGCTensor *input, IGCTensor *output, float beta); |
| |
| // Inherited methods overridden: |
| void run(const Window &window) override; |
| |
| private: |
| const IGCTensor *_input; |
| IGCTensor *_output; |
| }; |
| } |
| |
| #endif /* __ARM_COMPUTE_GCGEMMMATRIXADDITIONKERNEL_H__ */ |