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Diffstat (limited to 'arm_compute/runtime/GLES_COMPUTE/functions/GCGEMM.h')
| -rw-r--r-- | arm_compute/runtime/GLES_COMPUTE/functions/GCGEMM.h | 114 |
1 files changed, 0 insertions, 114 deletions
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCGEMM.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCGEMM.h deleted file mode 100644 index 4fc621eb13..0000000000 --- a/arm_compute/runtime/GLES_COMPUTE/functions/GCGEMM.h +++ /dev/null @@ -1,114 +0,0 @@ -/* - * Copyright (c) 2017-2019 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_GCGEMM_H -#define ARM_COMPUTE_GCGEMM_H - -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMInterleave4x4Kernel.h" -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixAdditionKernel.h" -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h" -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMTranspose1xWKernel.h" -#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h" -#include "arm_compute/runtime/IFunction.h" -#include "arm_compute/runtime/MemoryGroup.h" - -namespace arm_compute -{ -class IGCTensor; - -/** Basic function to execute GEMM on OpenGLES Compute. This function calls the following kernels: - * - * -# @ref GCGEMMInterleave4x4Kernel (if the output tensor is a matrix) - * -# @ref GCGEMMTranspose1xWKernel (if the output tensor is a matrix) - * -# @ref GCGEMMMatrixMultiplyKernel - * -# @ref GCGEMMMatrixAdditionKernel (if c != nullptr and beta != 0.0) - * - */ -class GCGEMM : public IFunction -{ -public: - /** Default constructor. */ - GCGEMM(std::shared_ptr<IMemoryManager> memory_manager = nullptr); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - GCGEMM(const GCGEMM &) = delete; - /** Default move constructor */ - GCGEMM(GCGEMM &&) = default; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - GCGEMM &operator=(const GCGEMM &) = delete; - /** Default move assignment operator */ - GCGEMM &operator=(GCGEMM &&) = default; - /** 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. - * - * @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 - * @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 - * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and - * if the reshape of matrix B should happen only for the first run - */ - void configure(const IGCTensor *a, const IGCTensor *b, const IGCTensor *c, IGCTensor *output, float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref GCGEMM. - * - * @param[in] a First input tensor (Matrix or Vector A). Data types supported: F16/F32 - * @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 - * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and - * if the reshape of matrix B should happen only for the first run - * - * @return a status - */ - static Status validate(const ITensorInfo *a, const ITensorInfo *b, const IGCTensor *c, const ITensorInfo *output, const float alpha, const float beta, const GEMMInfo &gemm_info = GEMMInfo()); - - // Inherited methods overridden: - void run() override; - void prepare() override; - -private: - MemoryGroup _memory_group; - GCGEMMInterleave4x4Kernel _interleave_kernel; - GCGEMMTranspose1xWKernel _transpose_kernel; - GCGEMMMatrixMultiplyKernel _mm_kernel; - GCGEMMMatrixAdditionKernel _ma_kernel; - GCTensor _tmp_a; - GCTensor _tmp_b; - const IGCTensor *_original_b; - bool _is_interleaved_transposed; - bool _run_addition; - bool _reshape_b_only_on_first_run; - bool _is_prepared; -}; -} - -#endif /* ARM_COMPUTE_GCGEMM_H */ |