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Gian Marco Iodicebf9731e2018-12-12 10:18:04 +00001/*
Gian Marco Iodicebacfec52019-01-11 11:30:55 +00002 * Copyright (c) 2018-2019 ARM Limited.
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +00003 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#ifndef __ARM_COMPUTE_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H__
25#define __ARM_COMPUTE_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H__
26
27#include "arm_compute/core/CL/ICLKernel.h"
28
29namespace arm_compute
30{
31class ICLTensor;
32
33/** OpenCL kernel to multiply matrices when both the input matrices LHS (input0) and RHS (input1) have been reshaped
34 *
35 * @note The input matrices @p input0 and @p input1 must be reshaped through @ref CLGEMMReshapeLHSMatrixKernel and @ref CLGEMMReshapeRHSMatrixKernel
36 */
37class CLGEMMMatrixMultiplyReshapedKernel : public ICLKernel
38{
39public:
40 /** Default Constructor */
41 CLGEMMMatrixMultiplyReshapedKernel();
42 /** Prevent instances of this class from being copied (As this class contains pointers) */
43 CLGEMMMatrixMultiplyReshapedKernel(const CLGEMMMatrixMultiplyReshapedKernel &) = delete;
44 /** Prevent instances of this class from being copied (As this class contains pointers) */
45 CLGEMMMatrixMultiplyReshapedKernel &operator=(const CLGEMMMatrixMultiplyReshapedKernel &) = delete;
46 /** Allow instances of this class to be moved */
47 CLGEMMMatrixMultiplyReshapedKernel(CLGEMMMatrixMultiplyReshapedKernel &&) = default;
48 /** Allow instances of this class to be moved */
49 CLGEMMMatrixMultiplyReshapedKernel &operator=(CLGEMMMatrixMultiplyReshapedKernel &&) = default;
50 /** Initialise the kernel's input and output.
51 *
Manuel Bottini2d2551e2019-03-27 17:31:27 +000052 * @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: F32/F16. The number of dimensions for the LHS matrix must be less or equal than 4
53 * @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3
Gian Marco Iodicee16c8902019-06-14 16:11:10 +010054 * @param[in] input2 Input tensor containing the bias matrix. Data type supported: same as @p input0.
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000055 * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0
56 * @param[in] alpha Weight of the matrix product
Gian Marco Iodicee16c8902019-06-14 16:11:10 +010057 * @param[in] beta Weight of the matrix bias
Manuel Bottini2d2551e2019-03-27 17:31:27 +000058 * @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported:
59 * lhs_info.m0: 2,3,4,5,6,7,8
60 * lhs_info.k0: 2,3,4,8,16
61 * lhs_info.transpose: false
62 * @param[in] rhs_info RHS matrix information used for reshaping the input1 tensor. Only the following values are supported:
63 * rhs_info.n0: 2,3,4,8,16
64 * rhs_info.k0: 2,3,4,8,16
65 * rhs_info.transpose: true
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000066 * @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices
Manuel Bottini2d2551e2019-03-27 17:31:27 +000067 *
68 * @note lhs_info.k0 must be equal to rhs_info.k0
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000069 */
Gian Marco Iodicee16c8902019-06-14 16:11:10 +010070 void configure(const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info,
71 const GEMMRHSMatrixInfo &rhs_info,
72 const GEMMReshapeInfo &gemm_info);
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000073 /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixMultiplyReshapedKernel
74 *
Manuel Bottini2d2551e2019-03-27 17:31:27 +000075 * @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: F32/F16. The number of dimensions for the LHS matrix must be less or equal than 4
76 * @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3
Gian Marco Iodicee16c8902019-06-14 16:11:10 +010077 * @param[in] input2 Input tensor info containing the bias matrix. Data type supported: same as @p input0.
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000078 * @param[in] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0
79 * @param[in] alpha Weight of the matrix product
Gian Marco Iodicee16c8902019-06-14 16:11:10 +010080 * @param[in] beta Weight of the matrix bias
Manuel Bottini2d2551e2019-03-27 17:31:27 +000081 * @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported:
82 * lhs_info.m0: 2,3,4,5,6,7,8
83 * lhs_info.k0: 2,3,4,8,16
84 * lhs_info.transpose: false
85 * @param[in] rhs_info RHS matrix information used for reshaping the input1 tensor. Only the following values are supported:
86 * rhs_info.n0: 2,3,4,8,16
87 * rhs_info.k0: 2,3,4,8,16
88 * rhs_info.transpose: true
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000089 * @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices
90 *
Manuel Bottini2d2551e2019-03-27 17:31:27 +000091 * @note lhs_info.k0 must be equal to rhs_info.k0
92 *
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000093 * @return a status
94 */
Gian Marco Iodicee16c8902019-06-14 16:11:10 +010095 static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info,
96 const GEMMRHSMatrixInfo &rhs_info,
97 const GEMMReshapeInfo &gemm_info);
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +000098
99 // Inherited methods overridden:
100 void run(const Window &window, cl::CommandQueue &queue) override;
101
102private:
103 const ICLTensor *_input0;
104 const ICLTensor *_input1;
Gian Marco Iodicee16c8902019-06-14 16:11:10 +0100105 const ICLTensor *_input2;
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +0000106 ICLTensor *_output;
107 bool _slide_matrix_b;
108 bool _reinterpret_output_as_3d;
Gian Marco Iodicebacfec52019-01-11 11:30:55 +0000109 unsigned int _k;
Gian Marco Iodiceb0c50372019-03-15 10:13:05 +0000110 bool _use_dummy_work_items;
Gian Marco Iodicee16c8902019-06-14 16:11:10 +0100111 bool _add_bias;
112 bool _broadcast_bias;
Gian Marco Iodicebf9731e2018-12-12 10:18:04 +0000113};
114} // namespace arm_compute
115#endif /*__ARM_COMPUTE_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H__*/