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
|
/* Copyright 2015 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 "tensorflow/core/platform/default/logging.h"
#include "tensorflow/core/platform/env_time.h"
#include "tensorflow/core/platform/macros.h"
#if defined(PLATFORM_POSIX_ANDROID)
#include <android/log.h>
#include <iostream>
#include <sstream>
#endif
#include <stdlib.h>
#include <time.h>
namespace tensorflow {
namespace internal {
LogMessage::LogMessage(const char* fname, int line, int severity)
: fname_(fname), line_(line), severity_(severity) {}
#if defined(PLATFORM_POSIX_ANDROID)
void LogMessage::GenerateLogMessage() {
int android_log_level;
switch (severity_) {
case INFO:
android_log_level = ANDROID_LOG_INFO;
break;
case WARNING:
android_log_level = ANDROID_LOG_WARN;
break;
case ERROR:
android_log_level = ANDROID_LOG_ERROR;
break;
case FATAL:
android_log_level = ANDROID_LOG_FATAL;
break;
default:
if (severity_ < INFO) {
android_log_level = ANDROID_LOG_VERBOSE;
} else {
android_log_level = ANDROID_LOG_ERROR;
}
break;
}
std::stringstream ss;
const char* const partial_name = strrchr(fname_, '/');
ss << (partial_name != nullptr ? partial_name + 1 : fname_) << ":" << line_
<< " " << str();
__android_log_write(android_log_level, "native", ss.str().c_str());
// Also log to stderr (for standalone Android apps).
std::cerr << "native : " << ss.str() << std::endl;
// Android logging at level FATAL does not terminate execution, so abort()
// is still required to stop the program.
if (severity_ == FATAL) {
abort();
}
}
#else
void LogMessage::GenerateLogMessage() {
static EnvTime* env_time = tensorflow::EnvTime::Default();
uint64 now_micros = env_time->NowMicros();
time_t now_seconds = static_cast<time_t>(now_micros / 1000000);
int32 micros_remainder = static_cast<int32>(now_micros % 1000000);
const size_t time_buffer_size = 30;
char time_buffer[time_buffer_size];
strftime(time_buffer, time_buffer_size, "%Y-%m-%d %H:%M:%S",
localtime(&now_seconds));
// TODO(jeff,sanjay): Replace this with something that logs through the env.
fprintf(stderr, "%s.%06d: %c %s:%d] %s\n", time_buffer, micros_remainder,
"IWEF"[severity_], fname_, line_, str().c_str());
}
#endif
namespace {
// Parse log level (int64) from environment variable (char*)
int64 LogLevelStrToInt(const char* tf_env_var_val) {
if (tf_env_var_val == nullptr) {
return 0;
}
// Ideally we would use env_var / safe_strto64, but it is
// hard to use here without pulling in a lot of dependencies,
// so we use std:istringstream instead
string min_log_level(tf_env_var_val);
std::istringstream ss(min_log_level);
int64 level;
if (!(ss >> level)) {
// Invalid vlog level setting, set level to default (0)
level = 0;
}
return level;
}
} // namespace
int64 MinLogLevelFromEnv() {
const char* tf_env_var_val = getenv("TF_CPP_MIN_LOG_LEVEL");
return LogLevelStrToInt(tf_env_var_val);
}
int64 MinVLogLevelFromEnv() {
const char* tf_env_var_val = getenv("TF_CPP_MIN_VLOG_LEVEL");
return LogLevelStrToInt(tf_env_var_val);
}
LogMessage::~LogMessage() {
// Read the min log level once during the first call to logging.
static int64 min_log_level = MinLogLevelFromEnv();
if (TF_PREDICT_TRUE(severity_ >= min_log_level)) GenerateLogMessage();
}
int64 LogMessage::MinVLogLevel() {
static int64 min_vlog_level = MinVLogLevelFromEnv();
return min_vlog_level;
}
LogMessageFatal::LogMessageFatal(const char* file, int line)
: LogMessage(file, line, FATAL) {}
LogMessageFatal::~LogMessageFatal() {
// abort() ensures we don't return (we promised we would not via
// ATTRIBUTE_NORETURN).
GenerateLogMessage();
abort();
}
void LogString(const char* fname, int line, int severity,
const string& message) {
LogMessage(fname, line, severity) << message;
}
template <>
void MakeCheckOpValueString(std::ostream* os, const char& v) {
if (v >= 32 && v <= 126) {
(*os) << "'" << v << "'";
} else {
(*os) << "char value " << static_cast<short>(v);
}
}
template <>
void MakeCheckOpValueString(std::ostream* os, const signed char& v) {
if (v >= 32 && v <= 126) {
(*os) << "'" << v << "'";
} else {
(*os) << "signed char value " << static_cast<short>(v);
}
}
template <>
void MakeCheckOpValueString(std::ostream* os, const unsigned char& v) {
if (v >= 32 && v <= 126) {
(*os) << "'" << v << "'";
} else {
(*os) << "unsigned char value " << static_cast<unsigned short>(v);
}
}
#if LANG_CXX11
template <>
void MakeCheckOpValueString(std::ostream* os, const std::nullptr_t& p) {
(*os) << "nullptr";
}
#endif
CheckOpMessageBuilder::CheckOpMessageBuilder(const char* exprtext)
: stream_(new std::ostringstream) {
*stream_ << "Check failed: " << exprtext << " (";
}
CheckOpMessageBuilder::~CheckOpMessageBuilder() { delete stream_; }
std::ostream* CheckOpMessageBuilder::ForVar2() {
*stream_ << " vs. ";
return stream_;
}
string* CheckOpMessageBuilder::NewString() {
*stream_ << ")";
return new string(stream_->str());
}
} // namespace internal
} // namespace tensorflow
|
