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
|
/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2017 The TensorFlow Authors. 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 "Support.hpp"
#include <stdex/Memory.h>
#include <tensorflow/core/framework/graph.pb.h>
#include <cassert>
#include <fstream>
#include <stdexcept>
namespace
{
template <typename T>
std::unique_ptr<T> open_fstream(const std::string &path, std::ios_base::openmode mode)
{
if (path == "-")
{
return nullptr;
}
auto stream = stdex::make_unique<T>(path.c_str(), mode);
if (!stream->is_open())
{
throw std::runtime_error{"ERROR: Failed to open " + path};
}
return stream;
}
} // namespace
namespace tfkit
{
namespace tf
{
bool HasAttr(const tensorflow::NodeDef &node, const std::string &attr_name)
{
return node.attr().count(attr_name) > 0;
}
tensorflow::DataType GetDataTypeAttr(const tensorflow::NodeDef &node, const std::string &attr_name)
{
assert(HasAttr(node, attr_name));
const auto &attr = node.attr().at(attr_name);
assert(attr.value_case() == tensorflow::AttrValue::kType);
return attr.type();
}
tensorflow::TensorProto *GetTensorAttr(tensorflow::NodeDef &node, const std::string &attr_name)
{
assert(HasAttr(node, attr_name));
tensorflow::AttrValue &attr = node.mutable_attr()->at(attr_name);
assert(attr.value_case() == tensorflow::AttrValue::kTensor);
return attr.mutable_tensor();
}
int GetElementCount(const tensorflow::TensorShapeProto &shape)
{
int count = -1;
for (auto &d : shape.dim())
{
if (d.size() == 0)
{
count = 0;
break;
}
if (count == -1)
count = 1;
count *= d.size();
}
return count;
}
} // namespace tf
std::string CmdArguments::get(unsigned int index) const
{
if (index >= _argc)
throw std::runtime_error("Argument index out of bound");
return std::string(_argv[index]);
}
std::string CmdArguments::get_or(unsigned int index, const std::string &s) const
{
if (index >= _argc)
return s;
return std::string(_argv[index]);
}
std::unique_ptr<IOConfiguration> make_ioconfig(const CmdArguments &cmdargs)
{
auto iocfg = stdex::make_unique<IOConfiguration>();
auto in = open_fstream<std::ifstream>(cmdargs.get_or(0, "-"), std::ios::in | std::ios::binary);
iocfg->in(std::move(in));
auto out = open_fstream<std::ofstream>(cmdargs.get_or(1, "-"), std::ios::out | std::ios::binary);
iocfg->out(std::move(out));
return iocfg;
}
} // namespace tfkit
|
