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Add S3 logging to TensorFlow's logging system (tensorflow#15493)
* Add S3 logging to TensorFlow's logging system This fix is an attempt to help the issue raised in 15159 where there is no logging in S3 file system and it is not easy to debug to diagnose. This fix adds S3 logging to TensFlow's logging with ``` LogLevel::Info -> INFO LogLevel::Warn -> WARNING LogLevel::Error -> ERROR LogLevel::Fatal -> FATAL ``` This fix is related to 15159 (not a complete fix). Signed-off-by: Yong Tang <[email protected]> * Sanitize with clang-format Signed-off-by: Yong Tang <[email protected]> * Enable S3 logging to TensorFlow logging Signed-off-by: Yong Tang <[email protected]> * Sanitize with clang-format Signed-off-by: Yong Tang <[email protected]> * Update Bazel BUILD file Signed-off-by: Yong Tang <[email protected]> * Address review feedbacks. Signed-off-by: Yong Tang <[email protected]> * const local variable * Make local variable const and avoid std::string * Add punctuation & remove redundant comment * Expose InitializeAWSLogging and ShutdownAWSLogging in S3Logging Signed-off-by: Yong Tang <[email protected]> * Fix style. * move static functions first * move member functions before members fields * see if DISALLOW_COPY_AND_ASSIGN will work. * Update `S3Log` => `AWSLog` for review feedback Signed-off-by: Yong Tang <[email protected]> * Set TF_CPP_MIN_LOG_LEVEL=1 to filter out LOG(INFO) Signed-off-by: Yong Tang <[email protected]>
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/* 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/s3/aws_logging.h" | ||
#include "tensorflow/core/lib/strings/stringprintf.h" | ||
#include "tensorflow/core/platform/logging.h" | ||
#include "tensorflow/core/platform/mutex.h" | ||
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#include <aws/core/Aws.h> | ||
#include <aws/core/utils/logging/AWSLogging.h> | ||
#include <aws/core/utils/logging/LogSystemInterface.h> | ||
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#include <cstdarg> | ||
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namespace tensorflow { | ||
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AWSLogSystem::AWSLogSystem(Aws::Utils::Logging::LogLevel log_level) | ||
: log_level_(log_level) {} | ||
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void AWSLogSystem::Log(Aws::Utils::Logging::LogLevel log_level, const char* tag, | ||
const char* format, ...) { | ||
std::va_list args; | ||
va_start(args, format); | ||
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const string s = strings::Printf(format, args); | ||
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va_end(args); | ||
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LogMessage(log_level, s); | ||
} | ||
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void AWSLogSystem::LogStream(Aws::Utils::Logging::LogLevel log_level, | ||
const char* tag, | ||
const Aws::OStringStream& message_stream) { | ||
LogMessage(log_level, message_stream.rdbuf()->str().c_str()); | ||
} | ||
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void AWSLogSystem::LogMessage(Aws::Utils::Logging::LogLevel log_level, | ||
const std::string& message) { | ||
switch (log_level) { | ||
case Aws::Utils::Logging::LogLevel::Info: | ||
LOG(INFO) << message; | ||
break; | ||
case Aws::Utils::Logging::LogLevel::Warn: | ||
LOG(WARNING) << message; | ||
break; | ||
case Aws::Utils::Logging::LogLevel::Error: | ||
LOG(ERROR) << message; | ||
break; | ||
case Aws::Utils::Logging::LogLevel::Fatal: | ||
LOG(FATAL) << message; | ||
break; | ||
default: | ||
LOG(ERROR) << message; | ||
break; | ||
} | ||
} | ||
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namespace { | ||
static const char* kAWSLoggingTag = "AWSLogging"; | ||
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Aws::Utils::Logging::LogLevel ParseLogLevelFromEnv() { | ||
Aws::Utils::Logging::LogLevel log_level = Aws::Utils::Logging::LogLevel::Info; | ||
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const int64_t level = tensorflow::internal::MinLogLevelFromEnv(); | ||
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switch (level) { | ||
case INFO: | ||
log_level = Aws::Utils::Logging::LogLevel::Info; | ||
break; | ||
case WARNING: | ||
log_level = Aws::Utils::Logging::LogLevel::Warn; | ||
break; | ||
case ERROR: | ||
log_level = Aws::Utils::Logging::LogLevel::Error; | ||
break; | ||
case FATAL: | ||
log_level = Aws::Utils::Logging::LogLevel::Fatal; | ||
break; | ||
default: | ||
log_level = Aws::Utils::Logging::LogLevel::Info; | ||
break; | ||
} | ||
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return log_level; | ||
} | ||
} | ||
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static bool initialized = false; | ||
static mutex s3_logging_mutex(LINKER_INITIALIZED); | ||
void AWSLogSystem::InitializeAWSLogging() { | ||
std::lock_guard<mutex> s3_logging_lock(s3_logging_mutex); | ||
if (!initialized) { | ||
Aws::Utils::Logging::InitializeAWSLogging( | ||
Aws::MakeShared<AWSLogSystem>(kAWSLoggingTag, ParseLogLevelFromEnv())); | ||
initialized = true; | ||
return; | ||
} | ||
} | ||
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void AWSLogSystem::ShutdownAWSLogging() { | ||
std::lock_guard<mutex> s3_logging_lock(s3_logging_mutex); | ||
if (initialized) { | ||
Aws::Utils::Logging::ShutdownAWSLogging(); | ||
initialized = false; | ||
return; | ||
} | ||
} | ||
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} // namespace tensorflow |
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/* 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. | ||
==============================================================================*/ | ||
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#ifndef TENSORFLOW_CONTRIB_S3_S3_LOGGING_H_ | ||
#define TENSORFLOW_CONTRIB_S3_S3_LOGGING_H_ | ||
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#include <atomic> | ||
#include <string> | ||
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#include <aws/core/utils/logging/LogLevel.h> | ||
#include <aws/core/utils/logging/LogSystemInterface.h> | ||
#include "tensorflow/core/platform/default/logging.h" | ||
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namespace tensorflow { | ||
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class AWSLogSystem : public Aws::Utils::Logging::LogSystemInterface { | ||
public: | ||
static void InitializeAWSLogging(); | ||
static void ShutdownAWSLogging(); | ||
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explicit AWSLogSystem(Aws::Utils::Logging::LogLevel log_level); | ||
virtual ~AWSLogSystem() = default; | ||
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// Gets the currently configured log level. | ||
virtual Aws::Utils::Logging::LogLevel GetLogLevel(void) const override { | ||
return log_level_; | ||
} | ||
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// Set a new log level. This has the immediate effect of changing the log. | ||
void SetLogLevel(Aws::Utils::Logging::LogLevel log_level) { | ||
log_level_.store(log_level); | ||
} | ||
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// Does a printf style output to ProcessFormattedStatement. Don't use this, | ||
// it's unsafe. See LogStream. | ||
// Since non-static C++ methods have an implicit this argument, | ||
// TF_PRINTF_ATTRIBUTE should be counted from two (vs. one). | ||
virtual void Log(Aws::Utils::Logging::LogLevel log_level, const char* tag, | ||
const char* format, ...) override TF_PRINTF_ATTRIBUTE(4, 5); | ||
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// Writes the stream to ProcessFormattedStatement. | ||
virtual void LogStream(Aws::Utils::Logging::LogLevel log_level, | ||
const char* tag, | ||
const Aws::OStringStream& messageStream) override; | ||
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private: | ||
void LogMessage(Aws::Utils::Logging::LogLevel log_level, | ||
const string& message); | ||
std::atomic<Aws::Utils::Logging::LogLevel> log_level_; | ||
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TF_DISALLOW_COPY_AND_ASSIGN(AWSLogSystem); | ||
}; | ||
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} // namespace tensorflow | ||
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#endif // TENSORFLOW_CONTRIB_S3_S3_LOGGING_H_ |
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