forked from onnx/onnx-tensorrt
-
Notifications
You must be signed in to change notification settings - Fork 0
/
common.hpp
143 lines (131 loc) · 5.46 KB
/
common.hpp
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
/*
* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
*
* 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.
*/
#pragma once
#include <onnx/onnx_pb.h>
#include <memory>
#include <fstream>
#include <iostream>
#include <ctime>
#include <fcntl.h> // For ::open
#include <limits>
#include <google/protobuf/io/coded_stream.h>
#include <google/protobuf/io/zero_copy_stream_impl.h>
#include <google/protobuf/text_format.h>
// Namespace for common functions used throughout onnx-trt
namespace common
{
struct InferDeleter {
template<typename T>
void operator()(T* obj) const {
if( obj ) {
obj->destroy();
}
}
};
template<typename T>
inline std::shared_ptr<T> infer_object(T* obj) {
if( !obj ) {
throw std::runtime_error("Failed to create object");
}
return std::shared_ptr<T>(obj, InferDeleter());
}
// Logger for TensorRT info/warning/errors
class TRT_Logger : public nvinfer1::ILogger {
nvinfer1::ILogger::Severity _verbosity;
std::ostream* _ostream;
public:
TRT_Logger(Severity verbosity=Severity::kWARNING,
std::ostream& ostream=std::cout)
: _verbosity(verbosity), _ostream(&ostream) {}
void log(Severity severity, const char* msg) noexcept override {
if( severity <= _verbosity ) {
time_t rawtime = std::time(0);
char buf[256];
strftime(&buf[0], 256,
"%Y-%m-%d %H:%M:%S",
std::gmtime(&rawtime));
const char* sevstr = (severity == Severity::kINTERNAL_ERROR ? " BUG" :
severity == Severity::kERROR ? " ERROR" :
severity == Severity::kWARNING ? "WARNING" :
severity == Severity::kINFO ? " INFO" :
"UNKNOWN");
(*_ostream) << "[" << buf << " " << sevstr << "] "
<< msg
<< std::endl;
}
}
};
inline bool ParseFromFile_WAR(google::protobuf::Message* msg,
const char* filename) {
int fd = ::open(filename, O_RDONLY);
google::protobuf::io::FileInputStream raw_input(fd);
raw_input.SetCloseOnDelete(true);
google::protobuf::io::CodedInputStream coded_input(&raw_input);
// Note: This WARs the very low default size limit (64MB)
coded_input.SetTotalBytesLimit(std::numeric_limits<int>::max(),
std::numeric_limits<int>::max()/4);
return msg->ParseFromCodedStream(&coded_input);
}
inline bool MessageToFile(const google::protobuf::Message* msg,
const char* filename) {
int fd = ::open(filename, O_WRONLY | O_CREAT | O_TRUNC, 0644);
google::protobuf::io::FileOutputStream raw_output(fd);
raw_output.SetCloseOnDelete(true);
google::protobuf::io::CodedOutputStream output(&raw_output);
// Write the size.
const int size = msg->ByteSize();
uint8_t* buffer = output.GetDirectBufferForNBytesAndAdvance(size);
if (buffer != NULL) {
// Optimization: The msg fits in one buffer, so use the faster
// direct-to-array serialization path.
msg->SerializeWithCachedSizesToArray(buffer);
} else {
// Slightly-slower path when the msg is multiple buffers.
msg->SerializeWithCachedSizes(&output);
if (output.HadError()) return false;
}
return true;
}
inline bool ParseFromTextFile(google::protobuf::Message* msg,
const char* filename) {
int fd = ::open(filename, O_RDONLY);
google::protobuf::io::FileInputStream raw_input(fd);
raw_input.SetCloseOnDelete(true);
return google::protobuf::TextFormat::Parse(&raw_input, msg);
}
inline std::string onnx_ir_version_string(int64_t ir_version=::ONNX_NAMESPACE::IR_VERSION) {
int onnx_ir_major = ir_version / 1000000;
int onnx_ir_minor = ir_version % 1000000 / 10000;
int onnx_ir_patch = ir_version % 10000;
return (std::to_string(onnx_ir_major) + "." +
std::to_string(onnx_ir_minor) + "." +
std::to_string(onnx_ir_patch));
}
inline void print_version() {
std::cout << "Parser built against:" << std::endl;
std::cout << " ONNX IR version: " << onnx_ir_version_string(::ONNX_NAMESPACE::IR_VERSION) << std::endl;
std::cout << " TensorRT version: "
<< NV_TENSORRT_MAJOR << "."
<< NV_TENSORRT_MINOR << "."
<< NV_TENSORRT_PATCH << std::endl;
}
} // namespace common