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/*
* Copyright (c) 2017-2020 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_NEGEMM_H
#define ARM_COMPUTE_NEGEMM_H
#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
#include "arm_compute/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h"
#include "arm_compute/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h"
#include "arm_compute/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h"
#include "arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/IWeightsManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
#include "arm_compute/runtime/NEON/functions/NEArithmeticAddition.h"
#include "arm_compute/runtime/NEON/functions/NEGEMMAssemblyDispatch.h"
#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
{
/** Basic function to execute GEMM on NEON. This function calls the following NEON kernels:
*
* If optimized assembly is available:
* -# @ref NEGEMMAssemblyDispatch
* -# @ref NEActivationLayer (if alpha != 1.0)
* Else:
* -# @ref NEGEMMInterleave4x4Kernel (if the output tensor is a matrix)
* -# @ref NEGEMMTranspose1xWKernel (if the output tensor is a matrix)
* -# @ref NEGEMMMatrixMultiplyKernel
* In both cases:
* -# @ref NEGEMMMatrixAdditionKernel (if c != nullptr and beta != 0.0 and is not reshaped once)
* Else:
* -# @ref NEArithmeticAdditionKernel (if c != nullptr and is reshaped once and not optimized assembly in place)
*
* -# @ref NEActivationLayer (if activation is specified in GEMMInfo)
*/
class NEGEMM : public IFunction
{
public:
/** Constructor */
NEGEMM(std::shared_ptr<IMemoryManager> memory_manager = nullptr, IWeightsManager *weights_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGEMM(const NEGEMM &) = delete;
/** Default move constructor */
NEGEMM(NEGEMM &&) = default;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGEMM &operator=(const NEGEMM &) = delete;
/** Default move assignment operator */
NEGEMM &operator=(NEGEMM &&) = default;
/** Initialise the kernel's inputs, output
*
* @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C].
* @note GEMM: The tensors a, b, c, d must have the same data type. You should not mix data types when calling this function.
*
* @param[in] a First input tensor (Matrix A or Vector A). Data type supported: BFLOAT16/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] d 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 ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo());
/** Static function to check if given info will lead to a valid configuration of @ref NEGEMM.
*
* @param[in] a First input tensor info (Matrix or Vector A). Data types supported: BFLOAT16/F16/F32
* @param[in] b Second input tensor info (Matrix B). Data type supported: same as @p a.
* @param[in] c Third input tensor info (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 info. 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 ITensorInfo *c, const ITensorInfo *output, float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo());
// Inherited methods overridden:
void run() override;
void prepare() override;
private:
MemoryGroup _memory_group;
IWeightsManager *_weights_manager;
NEGEMMInterleave4x4Kernel _interleave_kernel;
NEGEMMTranspose1xWKernel _transpose_kernel;
NEGEMMMatrixMultiplyKernel _mm_kernel;
NEGEMMAssemblyDispatch _asm_glue;
NEGEMMMatrixAdditionKernel _ma_kernel;
NEActivationLayer _alpha_scale_func;
NEArithmeticAddition _add_bias;
NEActivationLayer _activation_func;
Tensor _tmp_a;
Tensor _tmp_b;
Tensor _tmp_d;
const ITensor *_original_b;
bool _run_vector_matrix_multiplication;
bool _run_alpha_scale;
bool _run_addition;
bool _run_bias_addition;
bool _run_activation;
bool _reshape_b_only_on_first_run;
bool _is_prepared;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEGEMM_H */
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