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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_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/GCMemoryGroup.h"
#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
#include "arm_compute/runtime/IFunction.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:
GCMemoryGroup _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__ */
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