hiro/ray
1
0
Fork 0
mirror of https://github.com/vale981/ray synced 2025-03-05 10:01:43 -05:00
Code Issues Projects Releases Packages Wiki Activity Actions

Lazily create summary writer for TF2 logger. (#5631)

Browse source
This commit is contained in:
lanlin 2019-09-05 00:22:56 +08:00 • committed by Philipp Moritz
parent 4ab57044e1
commit 1823ea74e3
1 changed files with 9 additions and 5 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

14
python/ray/tune/logger.py
View file

@ -154,11 +154,13 @@ def tf2_compat_logger(config, logdir):
class TF2Logger(Logger):
def _init(self):
from tensorflow.python.eager import context
self._context = context
self._file_writer = tf.summary.create_file_writer(self.logdir)
self._file_writer = None
def on_result(self, result):
if self._file_writer is None:
from tensorflow.python.eager import context
self._context = context
self._file_writer = tf.summary.create_file_writer(self.logdir)
with tf.device("/CPU:0"), self._context.eager_mode():
with tf.summary.record_if(True), self._file_writer.as_default():
step = result.get(
@ -181,10 +183,12 @@ class TF2Logger(Logger):
self._file_writer.flush()
def flush(self):
self._file_writer.flush()
if self._file_writer is not None:
self._file_writer.flush()
def close(self):
self._file_writer.close()
if self._file_writer is not None:
self._file_writer.close()
def to_tf_values(result, path):