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#include "tensorflow/core/util/events_writer.h"
#include <stddef.h> // for NULL
#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/lib/strings/strcat.h"
#include "tensorflow/core/lib/strings/stringprintf.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/public/env.h"
#include "tensorflow/core/public/status.h"
#include "tensorflow/core/util/event.pb.h"
namespace tensorflow {
EventsWriter::EventsWriter(const string& file_prefix)
// TODO(jeff,sanjay): Pass in env and use that here instead of Env::Default
: env_(Env::Default()),
file_prefix_(file_prefix),
num_outstanding_events_(0) {}
bool EventsWriter::Init() {
if (recordio_writer_.get() != nullptr) {
CHECK(!filename_.empty());
if (FileHasDisappeared()) {
// Warn user of data loss and let .reset() below do basic cleanup.
if (num_outstanding_events_ > 0) {
LOG(WARNING) << "Re-intialization, attempting to open a new file, "
<< num_outstanding_events_ << " events will be lost.";
}
} else {
// No-op: File is present and writer is initialized.
return true;
}
}
int64 time_in_seconds = env_->NowMicros() / 1000000;
filename_ = strings::Printf(
"%s.out.tfevents.%010lld.%s", file_prefix_.c_str(),
static_cast<long long>(time_in_seconds), port::Hostname().c_str());
port::AdjustFilenameForLogging(&filename_);
WritableFile* file;
Status s = env_->NewWritableFile(filename_, &file);
if (!s.ok()) {
LOG(ERROR) << "Could not open events file: " << filename_ << ": " << s;
return false;
}
recordio_file_.reset(file);
recordio_writer_.reset(new io::RecordWriter(recordio_file_.get()));
if (recordio_writer_.get() == NULL) {
LOG(ERROR) << "Could not create record writer";
return false;
}
num_outstanding_events_ = 0;
VLOG(1) << "Successfully opened events file: " << filename_;
{
// Write the first event with the current version, and flush
// right away so the file contents will be easily determined.
Event event;
event.set_wall_time(time_in_seconds);
event.set_file_version(strings::StrCat(kVersionPrefix, kCurrentVersion));
WriteEvent(event);
Flush();
}
return true;
}
string EventsWriter::FileName() {
if (filename_.empty()) {
Init();
}
return filename_;
}
void EventsWriter::WriteSerializedEvent(const string& event_str) {
if (recordio_writer_.get() == NULL) {
if (!Init()) {
LOG(ERROR) << "Write failed because file could not be opened.";
return;
}
}
num_outstanding_events_++;
recordio_writer_->WriteRecord(event_str);
}
void EventsWriter::WriteEvent(const Event& event) {
string record;
event.AppendToString(&record);
WriteSerializedEvent(record);
}
bool EventsWriter::Flush() {
if (num_outstanding_events_ == 0) return true;
CHECK(recordio_file_.get() != NULL) << "Unexpected NULL file";
// The FileHasDisappeared() condition is necessary because
// recordio_writer_->Sync() can return true even if the underlying
// file has been deleted. EventWriter.FileDeletionBeforeWriting
// demonstrates this and will fail if the FileHasDisappeared()
// conditon is removed.
// Also, we deliberately attempt to Sync() before checking for a
// disappearing file, in case for some file system File::Exists() is
// false after File::Open() but before File::Sync().
if (!recordio_file_->Flush().ok() || !recordio_file_->Sync().ok() ||
FileHasDisappeared()) {
LOG(ERROR) << "Failed to flush " << num_outstanding_events_ << " events to "
<< filename_;
return false;
}
VLOG(1) << "Wrote " << num_outstanding_events_ << " events to disk.";
num_outstanding_events_ = 0;
return true;
}
bool EventsWriter::Close() {
bool return_value = Flush();
if (recordio_file_.get() != NULL) {
Status s = recordio_file_->Close();
if (!s.ok()) {
LOG(ERROR) << "Error when closing previous event file: " << filename_
<< ": " << s;
return_value = false;
}
recordio_writer_.reset(NULL);
recordio_file_.reset(NULL);
}
num_outstanding_events_ = 0;
return return_value;
}
bool EventsWriter::FileHasDisappeared() {
if (env_->FileExists(filename_)) {
return false;
} else {
// This can happen even with non-null recordio_writer_ if some other
// process has removed the file.
LOG(ERROR) << "The events file " << filename_ << " has disappeared.";
return true;
}
}
} // namespace tensorflow
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