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Gian Marco05288a22017-11-21 10:57:50 +00001/*
Teresa Charlin62687422021-04-28 10:58:49 +01002 * Copyright (c) 2017-2021 Arm Limited.
Gian Marco05288a22017-11-21 10:57:50 +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 */
Michalis Spyrouf4643372019-11-29 16:17:13 +000024#ifndef ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCORE_H
25#define ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCORE_H
Gian Marco05288a22017-11-21 10:57:50 +000026
Gian Marco05288a22017-11-21 10:57:50 +000027#include "arm_compute/runtime/CL/CLTensor.h"
28#include "arm_compute/runtime/IFunction.h"
Georgios Pinitas26014cf2019-09-09 19:00:57 +010029#include "arm_compute/runtime/MemoryGroup.h"
Gian Marco05288a22017-11-21 10:57:50 +000030
Georgios Pinitasf4e84fb2021-07-08 15:36:07 +010031#include <memory>
32
Gian Marco05288a22017-11-21 10:57:50 +000033namespace arm_compute
34{
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010035class CLCompileContext;
Gian Marco05288a22017-11-21 10:57:50 +000036class IMemoryManager;
37class ICLTensor;
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010038class ITensorInfo;
Georgios Pinitas11d84152021-04-28 10:20:18 +010039
Gian Marco Iodiceeb65f6d2020-04-15 11:42:15 +010040/** Basic function to execute GEMMLowpMatrixMultiplyCore on OpenCL. */
Gian Marco05288a22017-11-21 10:57:50 +000041class CLGEMMLowpMatrixMultiplyCore : public IFunction
42{
43public:
44 /** Constructor */
45 CLGEMMLowpMatrixMultiplyCore(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
Georgios Pinitas72219332018-06-05 14:56:06 +010046 /** Prevent instances of this class from being copied (As this class contains pointers) */
47 CLGEMMLowpMatrixMultiplyCore(const CLGEMMLowpMatrixMultiplyCore &) = delete;
48 /** Default move constructor */
49 CLGEMMLowpMatrixMultiplyCore(CLGEMMLowpMatrixMultiplyCore &&) = default;
50 /** Prevent instances of this class from being copied (As this class contains pointers) */
51 CLGEMMLowpMatrixMultiplyCore &operator=(const CLGEMMLowpMatrixMultiplyCore &) = delete;
52 /** Default move assignment operator */
53 CLGEMMLowpMatrixMultiplyCore &operator=(CLGEMMLowpMatrixMultiplyCore &&) = default;
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010054 /** Default destructor */
55 ~CLGEMMLowpMatrixMultiplyCore();
Gian Marco05288a22017-11-21 10:57:50 +000056 /** Initialise the kernel's inputs, output
57 *
Teresa Charlin62687422021-04-28 10:58:49 +010058 * Valid data layouts:
59 * - NHWC
60 * - NCHW
61 *
62 * Valid data type configurations:
63 * |src0 |src1 |src2 |dst |
64 * |:--------------|:------------------|:--------|:--------------|
65 * |QASYMM8 |QASYMM8 |S32 |QASYMM8 |
66 * |QASYMM8 |QSYMM8_PER_CHANNEL |S32 |QASYMM8 |
67 * |QASYMM8 |QSYMM8 |S32 |QASYMM8 |
68 * |QASYMM8 |QASYMM8 |S32 |S32 |
69 * |QASYMM8 |QSYMM8_PER_CHANNEL |S32 |S32 |
70 * |QASYMM8 |QSYMM8 |S32 |S32 |
71 * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |QASYMM8_SIGNED |
72 * |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32 |QASYMM8_SIGNED |
73 * |QASYMM8_SIGNED |QSYMM8 |S32 |QASYMM8_SIGNED |
74 * |QASYMM8_SIGNED |QASYMM8_SIGNED |S32 |S32 |
75 * |QASYMM8_SIGNED |QSYMM8_PER_CHANNEL |S32 |S32 |
76 * |QASYMM8_SIGNED |QSYMM8 |S32 |S32 |
77 *
Gian Marco Iodice4b908652018-10-18 10:21:02 +010078 * @note GEMMLowp: low precision GEMM kernel. [A * B + C]
Gian Marco05288a22017-11-21 10:57:50 +000079 * This kernel performs the following computations:
80 *
Michele Di Giorgiof6f78762020-07-06 11:27:21 +010081 * -# Convert a values from 8-bit quantized to int32 and add a_offset to each of them.
82 * -# Convert b values from 8-bit quantized to int32 and add b_offset to each of them.
Gian Marco05288a22017-11-21 10:57:50 +000083 * -# Compute the matrix product of the resulting a * b in int32.
Gian Marco Iodice4b908652018-10-18 10:21:02 +010084 * -# Quantize to uint8 if gemm_info.gemmlowp_output_stage != NONE
Gian Marco05288a22017-11-21 10:57:50 +000085 *
Manuel Bottini959c26d2019-12-02 16:22:35 +000086 * @param[in] a First input tensor (Matrix A). Data type supported: QASYMM8/QASYMM8_SIGNED.
Michele Di Giorgio1c1b3aa2020-04-02 17:35:42 +010087 * @param[in] b Second input tensor (Matrix B). Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL
Gian Marco Iodice4b908652018-10-18 10:21:02 +010088 * @param[in] c Third input tensor (Matrix C). It can be a nullptr. Data type supported: S32
Manuel Bottini959c26d2019-12-02 16:22:35 +000089 * @param[out] output Output tensor. Data type supported: S32 or QASYMM8/QASYMM8_SIGNED if gemm_info.gemmlowp_output_stage != NONE
Chunosov5124be52017-11-22 20:42:13 +070090 * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and
91 * if the reshape of matrix B should be executed only for the first run
Gian Marco05288a22017-11-21 10:57:50 +000092 */
Gian Marco Iodice4b908652018-10-18 10:21:02 +010093 void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, const GEMMInfo &gemm_info = GEMMInfo());
Manuel Bottini2b84be52020-04-08 10:15:51 +010094 /** Initialise the kernel's inputs, output
95 *
96 * @note GEMMLowp: low precision GEMM kernel. [A * B + C]
97 * This kernel performs the following computations:
98 *
Michele Di Giorgiof6f78762020-07-06 11:27:21 +010099 * -# Convert a values from 8-bit quantized to int32 and add a_offset to each of them.
100 * -# Convert b values from 8-bit quantized to int32 and add b_offset to each of them.
Manuel Bottini2b84be52020-04-08 10:15:51 +0100101 * -# Compute the matrix product of the resulting a * b in int32.
102 * -# Quantize to uint8 if gemm_info.gemmlowp_output_stage != NONE
103 *
104 * @param[in] compile_context The compile context to be used.
105 * @param[in] a First input tensor (Matrix A). Data type supported: QASYMM8/QASYMM8_SIGNED.
106 * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a
107 * @param[in] c Third input tensor (Matrix C). It can be a nullptr. Data type supported: S32
108 * @param[out] output Output tensor. Data type supported: S32 or QASYMM8/QASYMM8_SIGNED if gemm_info.gemmlowp_output_stage != NONE
109 * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and
110 * if the reshape of matrix B should be executed only for the first run
111 */
112 void configure(const CLCompileContext &compile_context, const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, const GEMMInfo &gemm_info = GEMMInfo());
Georgios Pinitas358ca202017-12-07 16:47:52 +0000113 /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixMultiplyCore
114 *
Vidhya Sudhan Loganathan951b8a42019-11-04 14:42:08 +0000115 * @param[in] a First input tensor info (Matrix A). Data type supported: QASYMM8.
Michele Di Giorgio1c1b3aa2020-04-02 17:35:42 +0100116 * @param[in] b Second input tensor info (Matrix B). Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL
Vidhya Sudhan Loganathan951b8a42019-11-04 14:42:08 +0000117 * @param[in] c Third input tensor info (Matrix C). It can be a nullptr. Data type supported: S32
Manuel Bottini959c26d2019-12-02 16:22:35 +0000118 * @param[in] output Output tensor info. Data type supported: S32 or QASYMM8/QASYMM8_SIGNED if gemm_info.gemmlowp_output_stage != NONE
Georgios Pinitas358ca202017-12-07 16:47:52 +0000119 * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and
120 * if the reshape of matrix B should be executed only for the first run
121 *
122 * @return a status
123 */
Gian Marco Iodice4b908652018-10-18 10:21:02 +0100124 static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *output, const GEMMInfo &gemm_info = GEMMInfo());
Gian Marco05288a22017-11-21 10:57:50 +0000125
126 // Inherited methods overridden:
127 void run() override;
Georgios Pinitas72219332018-06-05 14:56:06 +0100128 void prepare() override;
Gian Marco05288a22017-11-21 10:57:50 +0000129
130private:
Georgios Pinitasf4e84fb2021-07-08 15:36:07 +0100131 struct Impl;
132 std::unique_ptr<Impl> _impl;
Gian Marco05288a22017-11-21 10:57:50 +0000133};
Vidhya Sudhan Loganathan951b8a42019-11-04 14:42:08 +0000134} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +0000135#endif /*ARM_COMPUTE_CLGEMMLOWPMATRIXMULTIPLYCORE_H */