1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
|
/*
* Copyright (c) 2017-2021 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.
*/
#include "arm_compute/runtime/CL/functions/CLGEMMLowpOutputStage.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "src/core/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel.h"
#include "src/core/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleByFloatKernel.h"
#include "src/core/gpu/cl/kernels/ClGemmLowpQuantizeDownInt32ScaleKernel.h"
#include <algorithm>
namespace arm_compute
{
CLGEMMLowpOutputStage::CLGEMMLowpOutputStage()
: _kernel(nullptr), _input(nullptr), _bias(nullptr), _output(nullptr)
{
}
CLGEMMLowpOutputStage::CLGEMMLowpOutputStage(CLGEMMLowpOutputStage &&) = default;
CLGEMMLowpOutputStage &CLGEMMLowpOutputStage::operator=(CLGEMMLowpOutputStage &&) = default;
CLGEMMLowpOutputStage::~CLGEMMLowpOutputStage() = default;
void CLGEMMLowpOutputStage::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo &info)
{
configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, info);
}
void CLGEMMLowpOutputStage::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const GEMMLowpOutputStageInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
_input = input;
_bias = bias;
_output = output;
switch(info.type)
{
case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT:
{
auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel>();
k->configure(compile_context, input->info(), bias != nullptr ? bias->info() : nullptr, output->info(), &info);
_kernel = std::move(k);
break;
}
case GEMMLowpOutputStageType::QUANTIZE_DOWN:
{
auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleKernel>();
k->configure(compile_context, input->info(), bias != nullptr ? bias->info() : nullptr, output->info(), &info);
_kernel = std::move(k);
break;
}
case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT:
{
auto k = std::make_unique<opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFloatKernel>();
k->configure(compile_context, input->info(), bias != nullptr ? bias->info() : nullptr, output->info(), &info);
_kernel = std::move(k);
break;
}
default:
ARM_COMPUTE_ERROR("Unsupported GEMMLowpOutputStage type.");
}
}
Status CLGEMMLowpOutputStage::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo &info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16);
switch(info.type)
{
case GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT:
return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFixedPointKernel::validate(input, bias, output, &info);
case GEMMLowpOutputStageType::QUANTIZE_DOWN:
return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleKernel::validate(input, bias, output, &info);
case GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT:
return opencl::kernels::ClGemmLowpQuantizeDownInt32ScaleByFloatKernel::validate(input, bias, output, &info);
default:
return ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported GEMMLowpOutputStage type.");
}
}
void CLGEMMLowpOutputStage::run()
{
ITensorPack pack{ { ACL_SRC, _input }, { ACL_BIAS, _bias }, { ACL_DST, _output } };
CLScheduler::get().enqueue_op(*_kernel, pack, true);
}
} // namespace arm_compute
|
