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
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
|
/*
* Copyright (c) 2017-2021, 2023 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/NEON/functions/NEConvolutionLayer.h"
#include "arm_compute/core/PixelValue.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/utils/DataTypeUtils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h"
#include "src/common/utils/Log.h"
#include "src/core/helpers/MemoryHelpers.h"
#include "src/cpu/operators/CpuConv2d.h"
#include "src/cpu/operators/CpuDirectConv2d.h"
#include "src/cpu/operators/CpuGemmConv2d.h"
#include "src/cpu/operators/CpuGemmDirectConv2d.h"
#include "src/cpu/operators/CpuWinogradConv2d.h"
namespace arm_compute
{
using namespace arm_compute::experimental;
struct NEConvolutionLayer::Impl
{
MemoryGroup memory_group{};
std::shared_ptr<IMemoryManager> memory_manager{};
std::unique_ptr<cpu::ICpuOperator> op{nullptr};
ITensorPack run_pack{};
ITensorPack prep_pack{};
WorkspaceData<Tensor> workspace{};
experimental::MemoryRequirements aux_mem_req{};
std::unique_ptr<IFunction> func{nullptr};
};
NEConvolutionLayer::NEConvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager) : _impl(std::make_unique<Impl>())
{
_impl->memory_manager = std::move(memory_manager);
}
NEConvolutionLayer::~NEConvolutionLayer() = default;
void NEConvolutionLayer::configure(ITensor *input,
const ITensor *weights,
const ITensor *biases,
ITensor *output,
const PadStrideInfo &conv_info,
const WeightsInfo &weights_info,
const Size2D &dilation,
const ActivationLayerInfo &act_info,
bool enable_fast_math,
unsigned int num_groups)
{
// Perform validate step
ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
ARM_COMPUTE_UNUSED(num_groups);
ARM_COMPUTE_ERROR_THROW_ON(NEConvolutionLayer::validate(
input->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr), output->info(), conv_info,
weights_info, dilation, act_info, enable_fast_math, num_groups));
ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, conv_info, weights_info, dilation, act_info,
enable_fast_math, num_groups);
const Conv2dInfo info(conv_info, dilation, act_info, enable_fast_math, num_groups);
switch (cpu::CpuConv2d::get_convolution_method(input->info(), weights->info(), output->info(), conv_info,
weights_info, dilation, act_info, enable_fast_math))
{
case ConvolutionMethod::WINOGRAD:
case ConvolutionMethod::GEMM:
case ConvolutionMethod::GEMM_CONV2D:
case ConvolutionMethod::DIRECT:
{
auto f = std::make_unique<cpu::CpuConv2d>();
f->configure(input->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr),
output->info(), conv_info, weights_info, dilation, act_info, enable_fast_math, num_groups);
_impl->op = std::move(f);
break;
}
case ConvolutionMethod::FFT:
{
auto f = std::make_unique<NEFFTConvolutionLayer>(_impl->memory_manager);
f->configure(input, weights, biases, output, conv_info, act_info);
_impl->func = std::move(f);
break;
}
default:
ARM_COMPUTE_ERROR("Not supported.");
break;
}
if (_impl->op)
{
_impl->memory_group = MemoryGroup(std::move(_impl->memory_manager));
_impl->aux_mem_req = _impl->op->workspace();
_impl->run_pack = {{ACL_SRC_0, input}, {ACL_SRC_1, weights}, {ACL_SRC_2, biases}, {ACL_DST, output}};
_impl->prep_pack = {{ACL_SRC_1, weights}, {ACL_SRC_2, biases}};
_impl->workspace =
manage_workspace<Tensor>(_impl->aux_mem_req, _impl->memory_group, _impl->run_pack, _impl->prep_pack);
}
}
Status NEConvolutionLayer::validate(const ITensorInfo *input,
const ITensorInfo *weights,
const ITensorInfo *biases,
const ITensorInfo *output,
const PadStrideInfo &conv_info,
const WeightsInfo &weights_info,
const Size2D &dilation,
const ActivationLayerInfo &act_info,
bool enable_fast_math,
unsigned int num_groups)
{
const Conv2dInfo info(conv_info, dilation, act_info, enable_fast_math, num_groups);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(!weights->are_values_constant(), "Dynamic weights are not supported");
// Biases with dynamic values are not supported with quantized inputs.
if (biases)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG((!biases->are_values_constant() && is_data_type_quantized(input->data_type())),
"Dynamic Biases are not supported with quantized input data.");
}
switch (cpu::CpuConv2d::get_convolution_method(input, weights, output, conv_info, weights_info, dilation, act_info,
enable_fast_math))
{
case ConvolutionMethod::WINOGRAD:
case ConvolutionMethod::GEMM:
case ConvolutionMethod::GEMM_CONV2D:
case ConvolutionMethod::DIRECT:
ARM_COMPUTE_RETURN_ON_ERROR(cpu::CpuConv2d::validate(input, weights, biases, output, conv_info,
weights_info, dilation, act_info, enable_fast_math,
num_groups));
break;
case ConvolutionMethod::FFT:
ARM_COMPUTE_RETURN_ON_ERROR(
NEFFTConvolutionLayer::validate(input, weights, biases, output, conv_info, act_info));
break;
default:
ARM_COMPUTE_ERROR("Not supported.");
break;
}
return Status{};
}
ConvolutionMethod NEConvolutionLayer::get_convolution_method(const ITensorInfo *input,
const ITensorInfo *weights,
const ITensorInfo *output,
const PadStrideInfo &conv_info,
const WeightsInfo &weights_info,
const Size2D &dilation,
const ActivationLayerInfo &act_info,
bool enable_fast_math)
{
return cpu::CpuConv2d::get_convolution_method(input, weights, output, conv_info, weights_info, dilation, act_info,
enable_fast_math);
}
void NEConvolutionLayer::run()
{
prepare();
MemoryGroupResourceScope scope_mg(_impl->memory_group);
if (_impl->func)
{
_impl->func->run();
}
else
{
_impl->op->run(_impl->run_pack);
}
}
void NEConvolutionLayer::prepare()
{
if (_impl->func)
{
_impl->func->prepare();
}
else
{
_impl->op->prepare(_impl->prep_pack);
// Release temporary tensors that are only used in prepare stage
release_temporaries<Tensor>(_impl->aux_mem_req, _impl->workspace);
}
}
} // namespace arm_compute
|
