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
|
/*
* Copyright (c) 2018-2020 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/graph/backends/NEON/NEFunctionFactory.h"
#include "arm_compute/core/utils/misc/Cast.h"
#include "arm_compute/graph/Graph.h"
#include "arm_compute/graph/GraphContext.h"
#include "arm_compute/graph/Logger.h"
#include "arm_compute/graph/TypePrinter.h"
#include "arm_compute/graph/backends/FunctionHelpers.h"
#include "arm_compute/graph/backends/Utils.h"
#include "arm_compute/graph/nodes/Nodes.h"
#include "arm_compute/runtime/CPP/CPPFunctions.h"
#include "arm_compute/runtime/NEON/NEFunctions.h"
#include "support/ToolchainSupport.h"
using namespace arm_compute::utils::cast;
namespace arm_compute
{
namespace graph
{
namespace backends
{
/** Target specific information structure used to pass information to the layer templates */
struct NETargetInfo
{
using TensorType = arm_compute::ITensor;
using TensorConcreteType = arm_compute::Tensor;
static Target TargetType;
};
Target NETargetInfo::TargetType = Target::NEON;
/** Collection of NEON convolution functions */
struct NEConvolutionLayerFunctions
{
using GenericConvolutionLayer = NEConvolutionLayer;
using GEMMConvolutionLayer = NEGEMMConvolutionLayer;
using DirectConvolutionLayer = NEDirectConvolutionLayer;
using WinogradConvolutionLayer = NEWinogradConvolutionLayer;
};
/** Collection of NEON element-wise functions */
struct NEEltwiseFunctions
{
using Addition = NEArithmeticAddition;
using Subtraction = NEArithmeticSubtraction;
using Multiplication = NEPixelWiseMultiplication;
};
/** Collection of NEON unary element-wise functions */
struct NEUnaryEltwiseFunctions
{
using Exp = NEExpLayer;
};
/** Function and tensor types to be used inside a NEON fused convolution/batch normalization layer */
struct NEFusedLayerTypes
{
using ConvolutionLayer = NEConvolutionLayer;
using DepthwiseConvolutionLayer = NEDepthwiseConvolutionLayer;
using FuseBatchNormalization = NEFuseBatchNormalization;
};
namespace detail
{
template <>
std::unique_ptr<IFunction> create_normalization_layer<NENormalizationLayer, NETargetInfo>(NormalizationLayerNode &node, GraphContext &ctx)
{
validate_node<NETargetInfo>(node, 1 /* expected inputs */, 1 /* expected outputs */);
// Extract IO and info
NETargetInfo::TensorType *input = get_backing_tensor<NETargetInfo>(node.input(0));
NETargetInfo::TensorType *output = get_backing_tensor<NETargetInfo>(node.output(0));
const NormalizationLayerInfo norm_info = node.normalization_info();
ARM_COMPUTE_ERROR_ON(input == nullptr);
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
auto func = support::cpp14::make_unique<NENormalizationLayer>(get_memory_manager(ctx, NETargetInfo::TargetType));
func->configure(input, output, norm_info);
// Log info
ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
<< node.name()
<< " Type: " << node.type()
<< " Target: " << NETargetInfo::TargetType
<< " Data Type: " << input->info()->data_type()
<< " Input shape: " << input->info()->tensor_shape()
<< " Output shape: " << output->info()->tensor_shape()
<< " Normalization info: " << norm_info.type()
<< std::endl);
return RETURN_UNIQUE_PTR(func);
}
} // namespace detail
std::unique_ptr<IFunction> NEFunctionFactory::create(INode *node, GraphContext &ctx)
{
if(node == nullptr)
{
return nullptr;
}
NodeType type = node->type();
switch(type)
{
case NodeType::ActivationLayer:
return detail::create_activation_layer<NEActivationLayer, NETargetInfo>(*polymorphic_downcast<ActivationLayerNode *>(node));
case NodeType::BatchNormalizationLayer:
return detail::create_batch_normalization_layer<NEBatchNormalizationLayer, NETargetInfo>(*polymorphic_downcast<BatchNormalizationLayerNode *>(node));
case NodeType::ChannelShuffleLayer:
return detail::create_channel_shuffle_layer<NEChannelShuffleLayer, NETargetInfo>(*polymorphic_downcast<ChannelShuffleLayerNode *>(node));
case NodeType::ConvolutionLayer:
return detail::create_convolution_layer<NEConvolutionLayerFunctions, NETargetInfo>(*polymorphic_downcast<ConvolutionLayerNode *>(node), ctx);
case NodeType::DeconvolutionLayer:
return detail::create_deconvolution_layer<NEDeconvolutionLayer, NETargetInfo>(*polymorphic_downcast<DeconvolutionLayerNode *>(node), ctx);
case NodeType::ConcatenateLayer:
return detail::create_concatenate_layer<NEConcatenateLayer, NETargetInfo>(*polymorphic_downcast<ConcatenateLayerNode *>(node));
case NodeType::DepthwiseConvolutionLayer:
return detail::create_depthwise_convolution_layer<NEDepthwiseConvolutionLayer, NETargetInfo>(*polymorphic_downcast<DepthwiseConvolutionLayerNode *>(node));
case NodeType::DequantizationLayer:
return detail::create_dequantization_layer<NEDequantizationLayer, NETargetInfo>(*polymorphic_downcast<DequantizationLayerNode *>(node));
case NodeType::DetectionOutputLayer:
return detail::create_detection_output_layer<CPPDetectionOutputLayer, NETargetInfo>(*polymorphic_downcast<DetectionOutputLayerNode *>(node));
case NodeType::DetectionPostProcessLayer:
return detail::create_detection_post_process_layer<NEDetectionPostProcessLayer, NETargetInfo>(*polymorphic_downcast<DetectionPostProcessLayerNode *>(node));
case NodeType::EltwiseLayer:
return detail::create_eltwise_layer<NEEltwiseFunctions, NETargetInfo>(*polymorphic_downcast<EltwiseLayerNode *>(node));
case NodeType::UnaryEltwiseLayer:
return detail::create_unary_eltwise_layer<NEUnaryEltwiseFunctions, NETargetInfo>(*polymorphic_downcast<UnaryEltwiseLayerNode *>(node));
case NodeType::FlattenLayer:
return detail::create_flatten_layer<NEFlattenLayer, NETargetInfo>(*polymorphic_downcast<FlattenLayerNode *>(node));
case NodeType::FullyConnectedLayer:
return detail::create_fully_connected_layer<NEFullyConnectedLayer, NETargetInfo>(*polymorphic_downcast<FullyConnectedLayerNode *>(node), ctx);
case NodeType::FusedConvolutionBatchNormalizationLayer:
return detail::create_fused_convolution_batch_normalization_layer<NEFusedLayerTypes, NETargetInfo>(*polymorphic_downcast<FusedConvolutionBatchNormalizationNode *>(node), ctx);
case NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer:
return detail::create_fused_depthwise_convolution_batch_normalization_layer<NEFusedLayerTypes, NETargetInfo>(*polymorphic_downcast<FusedDepthwiseConvolutionBatchNormalizationNode *>(node), ctx);
case NodeType::NormalizationLayer:
return detail::create_normalization_layer<NENormalizationLayer, NETargetInfo>(*polymorphic_downcast<NormalizationLayerNode *>(node), ctx);
case NodeType::PadLayer:
return detail::create_pad_layer<NEPadLayer, NETargetInfo>(*polymorphic_downcast<PadLayerNode *>(node));
case NodeType::PermuteLayer:
return detail::create_permute_layer<NEPermute, NETargetInfo>(*polymorphic_downcast<PermuteLayerNode *>(node));
case NodeType::PoolingLayer:
return detail::create_pooling_layer<NEPoolingLayer, NETargetInfo>(*polymorphic_downcast<PoolingLayerNode *>(node));
case NodeType::PReluLayer:
return detail::create_prelu_layer<NEPReluLayer, NETargetInfo>(*polymorphic_downcast<PReluLayerNode *>(node));
case NodeType::PrintLayer:
return detail::create_print_layer<NETargetInfo>(*polymorphic_downcast<PrintLayerNode *>(node));
case NodeType::PriorBoxLayer:
return detail::create_priorbox_layer<NEPriorBoxLayer, NETargetInfo>(*polymorphic_downcast<PriorBoxLayerNode *>(node));
case NodeType::QuantizationLayer:
return detail::create_quantization_layer<NEQuantizationLayer, NETargetInfo>(*polymorphic_downcast<QuantizationLayerNode *>(node));
case NodeType::ReorgLayer:
return detail::create_reorg_layer<NEReorgLayer, NETargetInfo>(*polymorphic_downcast<ReorgLayerNode *>(node));
case NodeType::ReshapeLayer:
return detail::create_reshape_layer<NEReshapeLayer, NETargetInfo>(*polymorphic_downcast<ReshapeLayerNode *>(node));
case NodeType::ResizeLayer:
return detail::create_resize_layer<NEScale, NETargetInfo>(*polymorphic_downcast<ResizeLayerNode *>(node));
case NodeType::SoftmaxLayer:
return detail::create_softmax_layer<NESoftmaxLayer, NETargetInfo>(*polymorphic_downcast<SoftmaxLayerNode *>(node), ctx);
case NodeType::StackLayer:
return detail::create_stack_layer<NEStackLayer, NETargetInfo>(*polymorphic_downcast<StackLayerNode *>(node));
case NodeType::UpsampleLayer:
return detail::create_upsample_layer<NEUpsampleLayer, NETargetInfo>(*polymorphic_downcast<UpsampleLayerNode *>(node), ctx);
case NodeType::YOLOLayer:
return detail::create_yolo_layer<NEYOLOLayer, NETargetInfo>(*polymorphic_downcast<YOLOLayerNode *>(node), ctx);
default:
return nullptr;
}
}
} // namespace backends
} // namespace graph
} // namespace arm_compute
|
