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
|
/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "CircleExporterImpl.h"
#include "Convert.h"
#include "ExoOptimize.h"
#include "CircleTensorExporter.h"
#include "CircleOperationExporter.h"
#include "CircleExporterUtils.h"
#include "Log.h"
#include "Knob.h"
#include <oops/InternalExn.h>
#include <cassert>
#include <unordered_map>
#include <string>
#include <stdexcept>
namespace
{
using namespace exo::circle_detail;
void registerGraphInputTensors(loco::Graph *graph, SubGraphContext &ctx)
{
for (uint32_t n = 0; n < graph->inputs()->size(); ++n)
{
auto node = loco::pull_node(graph, n);
assert(node != nullptr);
ctx._inputs.push_back(get_tensor_index(node));
}
}
void registerGraphOutputTensors(loco::Graph *graph, SubGraphContext &ctx)
{
for (uint32_t n = 0; n < graph->outputs()->size(); ++n)
{
auto push = loco::push_node(graph, n);
assert(push != nullptr);
auto node = push->from();
assert(node != nullptr);
ctx._outputs.push_back(get_tensor_index(node));
}
}
} // namespace
namespace
{
using namespace circle;
using namespace flatbuffers;
Offset<Vector<Offset<OperatorCode>>>
encodeOperatorCodes(FlatBufferBuilder &builder, std::unordered_map<OpCode, uint32_t> &opcodes,
std::unordered_map<OpCode, std::string> &custom_opcodes)
{
std::vector<Offset<OperatorCode>> operator_codes_vec(opcodes.size());
for (auto it : opcodes)
{
uint32_t idx = it.second;
if (it.first.opcode != BuiltinOperator_CUSTOM)
{
operator_codes_vec[idx] = CreateOperatorCode(builder, it.first.opcode);
}
else // custom op
{
auto opCode = it.first;
auto custom_code = custom_opcodes.find(opCode);
if (custom_code == custom_opcodes.end())
INTERNAL_EXN("Cannot find code for customop even though opcode is BuiltinOperator_CUSTOM");
operator_codes_vec[idx] =
CreateOperatorCode(builder, it.first.opcode, builder.CreateString(custom_code->second));
}
}
return builder.CreateVector(operator_codes_vec);
}
} // namespace
namespace exo
{
using namespace exo::circle_detail;
using namespace circle;
using namespace flatbuffers;
CircleExporter::Impl::Impl(loco::Graph *graph) { exportGraph(graph); }
::flatbuffers::Offset<::circle::SubGraph>
CircleExporter::Impl::exportSubgraph(SerializedModelData &gd)
{
auto tensors = _builder.CreateVector(gd._tensors);
auto inputs = _builder.CreateVector(gd._inputs);
auto outputs = _builder.CreateVector(gd._outputs);
auto operators = _builder.CreateVector(gd._operators);
auto df = gd._data_format;
auto subgraph = CreateSubGraph(_builder, tensors, inputs, outputs, operators, df);
return subgraph;
}
void CircleExporter::Impl::exportGraph(loco::Graph *graph)
{
LOGGER(l);
// IR-level conversion and optimization
{
convert_to_TFLNodes(graph);
set(Dialect::CIRCLE);
optimize(graph);
}
_builder.Clear();
SerializedModelData gd;
// This version is taken from comment in fbs
constexpr uint32_t version = 0;
registerGraphIOName(graph, gd);
// parse graph into SerializedModelData structure
exportOpDefinedTensors(graph, _builder, gd);
// NOTE Invoke these register functions only after each node is annotated with its tensor_index
registerGraphInputTensors(graph, gd);
registerGraphOutputTensors(graph, gd);
exportNodes(graph, _builder, gd);
// encode operator codes
auto operator_codes =
encodeOperatorCodes(_builder, gd._operator_codes, gd._custom_operator_codes);
// Subgraphs
Offset<SubGraph> subgraph = exportSubgraph(gd);
auto subgraphs = _builder.CreateVector(std::vector<Offset<SubGraph>>{subgraph});
// Description
std::string description_str = "nnpackage";
auto description = _builder.CreateString(description_str);
// create array of buffers
auto buffers = _builder.CreateVector(gd._buffers);
// empty metadata
std::vector<int> metadata_buffer_vec;
auto metadata_buffer = _builder.CreateVector(metadata_buffer_vec);
// Model
auto model_offset = CreateModel(_builder, version, operator_codes, subgraphs, description,
buffers, metadata_buffer);
FinishModelBuffer(_builder, model_offset);
}
const char *CircleExporter::Impl::getBufferPointer() const
{
return reinterpret_cast<const char *>(_builder.GetBufferPointer());
}
size_t CircleExporter::Impl::getBufferSize() const { return _builder.GetSize(); }
} // namespace exo
|
