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diff --git a/arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h b/arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h
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-/*
- * 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_GCGEMMMATRIXMULTIPLYKERNEL_H
-#define ARM_COMPUTE_GCGEMMMATRIXMULTIPLYKERNEL_H
-
-#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h"
-#include "arm_compute/core/GPUTarget.h"
-
-namespace arm_compute
-{
-class IGCTensor;
-
-/** GLES Compute kernel to multiply two input matrices "A" and "B" or to multiply a vector "A" by a matrix "B". All elements of the output matrix/vector will be multiplied by alpha
- *
- * @attention The second input tensor must have at least 2 dimensions (matrix)
- *
- */
-class GCGEMMMatrixMultiplyKernel : public IGCKernel
-{
-public:
- /** Default constructor */
- GCGEMMMatrixMultiplyKernel();
-
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- GCGEMMMatrixMultiplyKernel(const GCGEMMMatrixMultiplyKernel &) = delete;
-
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- GCGEMMMatrixMultiplyKernel &operator=(const GCGEMMMatrixMultiplyKernel &) = delete;
-
- /** Allow instances of this class to be moved */
- GCGEMMMatrixMultiplyKernel(GCGEMMMatrixMultiplyKernel &&) = default;
-
- /** Allow instances of this class to be moved */
- GCGEMMMatrixMultiplyKernel &operator=(GCGEMMMatrixMultiplyKernel &&) = default;
-
- /** Initialise the kernel's input, output and alpha
- *
- * @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32
- * @param[in] input1 Input tensor containing the transposed Matrix B if the first input tensor A is not a vector.
- * If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as @p input0
- * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0
- * @param[in] alpha Weight of the matrix product
- * @param[in] is_interleaved_transposed (Optional) True if input0 and input1 have been reshaped respectively using @ref GCGEMMInterleave4x4Kernel and @ref GCGEMMTranspose1xWKernel
- * @param[in] reshape_info (Optional) GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped
- */
- void configure(const IGCTensor *input0, const IGCTensor *input1, IGCTensor *output, float alpha, bool is_interleaved_transposed = true, const GEMMReshapeInfo &reshape_info = GEMMReshapeInfo());
- /** Static function to check if given info will lead to a valid configuration of @ref GCGEMMMatrixMultiplyKernel
- *
- * @param[in] input0 Input tensor containing the Matrix A. Data types supported: F16/F32
- * @param[in] input1 Input tensor containing the Matrix B. Data type supported: same as @p input0
- * @param[in] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0
- * @param[in] alpha Weight of the matrix product
- * @param[in] is_interleaved_transposed True if input0 and input1 have been reshaped respectively using @ref GCGEMMInterleave4x4Kernel and @ref GCGEMMTranspose1xWKernel
- * @param[in] reshape_info GEMM reshape info. If is_interleaved_transposed = true, this object must contain the information to understand how the matrix A and matrix B have been reshaped
- * @param[in] gpu_target GPU Target
- *
- * @return a status
- */
- static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, float alpha, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info,
- GPUTarget gpu_target);
-
- // Inherited methods overridden:
- void run(const Window &window) override;
-
-private:
- const IGCTensor *_input0;
- const IGCTensor *_input1;
- IGCTensor *_output;
-};
-}
-#endif /* ARM_COMPUTE_GCGEMMMATRIXMULTIPLYKERNEL_H */