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/*
* Copyright (c) 2018-2019 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_INEGEMMWRAPPERKERNEL_H
#define ARM_COMPUTE_INEGEMMWRAPPERKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Common interface for all the arm_gemm Gemms
*/
class INEGEMMWrapperKernel : public INEKernel
{
public:
/** Parameters defining the dimensions of the matrices being multiplied */
struct Params
{
unsigned int M{ 0 }; /**< Rows in output matrix C (and input matrix A). */
unsigned int N{ 0 }; /**< Columns in output matrix C (and input matrix B). */
unsigned int K{ 0 }; /**< Columns of input matrix A (= rows of input matrix B). */
unsigned int batches{ 0 }; /**< Number of "batched" GEMMs (unique A and C, shared B). */
unsigned int multis{ 0 }; /**< Number of "multi" GEMMs (unique A, B and C). */
};
static Params extract_parameters(const ITensor *a, const ITensor *b, const ITensor *c, const GEMMInfo &gemm_info);
/** Constructor */
INEGEMMWrapperKernel();
/** Prevent instances of this class from being copied */
INEGEMMWrapperKernel(const INEGEMMWrapperKernel &) = delete;
/** Prevent instances of this class from being copied */
INEGEMMWrapperKernel &operator=(const INEGEMMWrapperKernel &) = delete;
/** Allow instances of this class to be moved */
INEGEMMWrapperKernel(INEGEMMWrapperKernel &&) = default;
/** Allow instances of this class to be moved */
INEGEMMWrapperKernel &operator=(INEGEMMWrapperKernel &&) = default;
/** Initialise the kernel's input and output.
*
* @note The input and output tensor must have the same dimensions
*
* @param[in] a Input tensor (Matrix A)
* @param[in] b Input tensor (Matrix B)
* @param[out] c Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
* @param[in] alpha Scalar multiplier to apply to AB matrix product.
* @param[in] beta Scalar multiplier to apply to input C matrix before adding product.
* @param[in] gemm_info GEMM meta-data
*/
void configure(const ITensor *a, const ITensor *b, ITensor *c, float alpha, float beta, const GEMMInfo &gemm_info);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
protected:
/** Called as part of configure() after _a, _b, _c and _params have been set.
*
* @param[in] alpha Scalar multiplier to apply to AB matrix product.
* @param[in] beta Scalar multiplier to apply to input C matrix before adding product.
*
* @return A 3D execution window.
*/
virtual Window configure_internal(float alpha, float beta) = 0;
/** Run the kernel from the start to the end offset in window.
*
* @param[in] window Window to use for the iteration
* @param[in] start_offset Where to start iterating from (In Window coordinates)
* @param[in] end_offset Where to stop iterating (In Window coordinates).
* @param[in] info Info about executing thread and CPU.
*/
virtual void run_internal(const Window &window, const Coordinates &start_offset, const Coordinates &end_offset, const ThreadInfo &info) = 0;
const ITensor *_a;
const ITensor *_b;
ITensor *_c;
Params _params;
GEMMInfo _gemm_info;
private:
Window _window3d;
TensorShape _window_shape;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_INEGEMMRAPPERKERNEL_H */
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