xref: /aosp_15_r20/external/ComputeLibrary/src/gpu/cl/operators/ClGemmLowpOutputStage.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2017-2021 Arm Limited.
3  *
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 #include "src/gpu/cl/operators/ClGemmLowpOutputStage.h"
25 
26 #include "arm_compute/core/CL/ICLTensor.h"
27 #include "arm_compute/core/Types.h"
28 #include "arm_compute/runtime/CL/CLScheduler.h"
29 
30 #include "src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel.h"
31 #include "src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.h"
32 #include "src/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleKernel.h"
33 
34 #include "src/common/utils/Log.h"
35 
36 namespace arm_compute
37 {
38 namespace opencl
39 {
configure(const CLCompileContext & compile_context,const ITensorInfo * src,const ITensorInfo * bias,ITensorInfo * dst,const GEMMLowpOutputStageInfo & info)40 void ClGemmLowpOutputStage::configure(const CLCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *bias, ITensorInfo *dst, const GEMMLowpOutputStageInfo &info)
41 {
42     ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
43     ARM_COMPUTE_LOG_PARAMS(src, bias, dst, info);
44 
45     switch(info.type)
46     {
47         case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT:
48         {
49             auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel>();
50             k->configure(compile_context, src, bias, dst, &info);
51             _kernel = std::move(k);
52             break;
53         }
54         case GEMMLowpOutputStageType::QUANTIZE_DOWN:
55         {
56             auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleKernel>();
57             k->configure(compile_context, src, bias, dst, &info);
58             _kernel = std::move(k);
59             break;
60         }
61         case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT:
62         {
63             auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFloatKernel>();
64             k->configure(compile_context, src, bias, dst, &info);
65             _kernel = std::move(k);
66             break;
67         }
68         default:
69             ARM_COMPUTE_ERROR("Unsupported GEMMLowpOutputStage type.");
70     }
71 }
72 
validate(const ITensorInfo * src,const ITensorInfo * bias,const ITensorInfo * dst,const GEMMLowpOutputStageInfo & info)73 Status ClGemmLowpOutputStage::validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, const GEMMLowpOutputStageInfo &info)
74 {
75     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(dst);
76     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16);
77 
78     switch(info.type)
79     {
80         case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT:
81             return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel::validate(src, bias, dst, &info);
82         case GEMMLowpOutputStageType::QUANTIZE_DOWN:
83             return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleKernel::validate(src, bias, dst, &info);
84         case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT:
85             return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::validate(src, bias, dst, &info);
86         default:
87             return ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported GEMMLowpOutputStage type.");
88     }
89 }
90 
run(ITensorPack & tensors)91 void ClGemmLowpOutputStage::run(ITensorPack &tensors)
92 {
93     const ITensor *src  = tensors.get_const_tensor(ACL_SRC);
94     const ITensor *bias = tensors.get_const_tensor(ACL_BIAS);
95     ITensor       *dst  = tensors.get_tensor(ACL_DST);
96 
97     ITensorPack pack{ { ACL_SRC, src }, { ACL_BIAS, bias }, { ACL_DST, dst } };
98     CLScheduler::get().enqueue_op(*_kernel, pack, true);
99 }
100 } // namespace opencl
101 } // namespace arm_compute
102