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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_NEGEMMASSEMBLYBASE_H__
#define __ARM_COMPUTE_NEGEMMASSEMBLYBASE_H__
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Base class for GEMM NEON kernels implemented in Assembly. */
class NEGEMMAssemblyBaseKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEGEMMAssemblyBaseKernel";
}
/** Constructor */
NEGEMMAssemblyBaseKernel()
: _input0(nullptr), _input1(nullptr), _output(nullptr), _workspace(nullptr), _alpha(1.f), _beta(0.f), _is_transposed_0(false), _is_transposed_1(false)
{
}
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGEMMAssemblyBaseKernel(const NEGEMMAssemblyBaseKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGEMMAssemblyBaseKernel &operator=(const NEGEMMAssemblyBaseKernel &) = delete;
/** Allow instances of this class to be moved */
NEGEMMAssemblyBaseKernel(NEGEMMAssemblyBaseKernel &&) = default;
/** Allow instances of this class to be moved */
NEGEMMAssemblyBaseKernel &operator=(NEGEMMAssemblyBaseKernel &&) = default;
virtual ~NEGEMMAssemblyBaseKernel() = default;
/** Initialise the kernel's input and output.
*
* The computed function is C = a * AxB + b * C.
*
* @param[in] input0 Input tensor containing the Matrix A. Data types supported: F32
* @param[in] input1 Input tensor containing the Matrix B. Data types supported: same as @p input0
* @param[in,out] output Output tensor to store the result of matrix multiplication. If @p beta is not zero the values are multiplied by @p beta before the result is accumulated. Otherwise the values are overwritten by the result. Data types supported: same as @p input0.
* @param[out] workspace Space for intermediate results.
* @param[in] alpha Weight of the matrix product
* @param[in] beta Weight of the accumulation.
* @param[in] is_transposed_0 (Optional)True if @p input0 is transposed else false. (Defaults to false)
* @param[in] is_transposed_1 (Optional)True if @p input1 is transposed else false. (Defaults to false)
*/
void configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha = 1.f, float beta = 0.f, bool is_transposed_0 = false, bool is_transposed_1 = false)
{
internal_configure(input0, input1, output, workspace, alpha, beta, is_transposed_0, is_transposed_1);
}
protected:
virtual void internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool _is_transposed_0, bool _is_transposed_1) = 0;
const ITensor *_input0;
const ITensor *_input1;
ITensor *_output;
ITensor *_workspace;
float _alpha;
float _beta;
bool _is_transposed_0;
bool _is_transposed_1;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEGEMMASSEMBLYBASE_H__*/
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