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/*
* Copyright (c) 2017 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_CLGEMMLOWPMATRIXMULTIPLYKERNEL_H__
#define __ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** OpenCL kernel to compute low precision matrix multiplication kernel
*
* This kernel performs the following computation:
* -# Convert a values from uint8 to int32 and add a_offset to each of them.
* -# Convert b values from uint8 to int32 and add b_offset to each of them.
* -# Compute the int32 matrix product of the resulting a * b.
* -# Add output_offset to each entry of the result.
* -# Multiply each entry of the result and round to the nearest integer
* -# Clamp the resulting int32 values to the [0..255] range and cast to uint8.
*/
class CLGEMMLowpMatrixMultiplyKernel : public ICLKernel
{
public:
/** Default Constructor */
CLGEMMLowpMatrixMultiplyKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLGEMMLowpMatrixMultiplyKernel(const CLGEMMLowpMatrixMultiplyKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLGEMMLowpMatrixMultiplyKernel &operator=(const CLGEMMLowpMatrixMultiplyKernel &) = delete;
/** Allow instances of this class to be moved */
CLGEMMLowpMatrixMultiplyKernel(CLGEMMLowpMatrixMultiplyKernel &&) = default;
/** Allow instances of this class to be moved */
CLGEMMLowpMatrixMultiplyKernel &operator=(CLGEMMLowpMatrixMultiplyKernel &&) = default;
/** Initialise the kernel's input and output.
*
* The input matrices @p input0 and @p input1 must be the output of the kernels: @ref CLGEMMInterleave4x4Kernel and @ref CLGEMMTranspose1xWKernel.
* These two kernels change the layout of the original matrices to be more cache-friendly.
*
* @param[in] input0 Input tensor containing the interleaved Matrix A. Data types supported: U8
* @param[in] input1 Input tensor containing the transposed Matrix B. Data types supported: same as @p input0
* @param[out] output Output tensor to store the result of matrix multiplication, Data types supported: same as @p input0
* @param[in] a_offset Offset to be added to each element of the matrix A.
* @param[in] b_offset Offset to be added to each element of the matrix B.
* @param[in] output_offset Offset to be added to each element of the output matrix
* @param[in] output_mult_int Offset to be added to each element of the output matrix
* @param[in] shift Number of bits to shift right the result.
*/
void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, int32_t a_offset, int32_t b_offset, int32_t output_offset, int32_t output_mult_int, int32_t shift);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input0;
const ICLTensor *_input1;
ICLTensor *_output;
};
}
#endif /*__ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYKERNEL_H__*/
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