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"""Functionality for loading events from a record file."""
from tensorflow.core.util import event_pb2
from tensorflow.python import pywrap_tensorflow
from tensorflow.python.platform import app
from tensorflow.python.platform import logging
class EventFileLoader(object):
"""An EventLoader is an iterator that yields Event protos."""
def __init__(self, file_path):
if file_path is None:
raise ValueError('A file path is required')
logging.debug('Opening a record reader pointing at %s', file_path)
self._reader = pywrap_tensorflow.PyRecordReader_New(file_path, 0)
# Store it for logging purposes.
self._file_path = file_path
if not self._reader:
raise IOError('Failed to open a record reader pointing to %s' % file_path)
def Load(self):
"""Loads all new values from disk.
Calling Load multiple times in a row will not 'drop' events as long as the
return value is not iterated over.
Yields:
All values that were written to disk that have not been yielded yet.
"""
while self._reader.GetNext():
logging.debug('Got an event from %s', self._file_path)
event = event_pb2.Event()
event.ParseFromString(self._reader.record())
yield event
logging.debug('No more events in %s', self._file_path)
def main(argv):
if len(argv) != 2:
print 'Usage: event_file_loader <path-to-the-recordio-file>'
return 1
loader = EventFileLoader(argv[1])
for event in loader.Load():
print event
if __name__ == '__main__':
app.run()
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