def _try_patch_tensorflow(self):
try:
import tensorflow as _
except ImportError:
pass
else:
util.try_apply([
self._try_listen_tf_v2,
self._try_listen_tf_v1,
self._try_listen_tf_legacy,
self._listen_tf_failed,
])
def __iter__(self):
"""Yields (tag, val, step) for scalars."""
events = self._tf_events()
if not events:
log.warning(
"TF events API not supported - cannot read events "
"from %r", self.dir)
return
try:
for event in events:
if not event.HasField("summary"):
continue
for val in event.summary.value:
try:
yield util.try_apply(
[self._try_tfevent_v2, self._try_tfevent_v1],
event, val)
except util.TryFailed:
log.debug("could not read event summary %s", val)
except RuntimeError as e:
# PEP 479 landed in Python 3.7 and TB triggers this
# runtime error when there are no events to read.
if e.args[0] != "generator raised StopIteration":
raise
def __iter__(self):
"""Yields (tag, val, step) for all scalars in dir."""
for event in EventReader(self.dir):
for val in event.summary.value:
try:
yield util.try_apply(
[self._try_tfevent_v2, self._try_tfevent_v1], event,
val)
except util.TryFailed:
log.debug("could not read event summary %s", val)
def _try_patch_tensorflow(self):
util.try_apply([
self._try_listen_tf_v2, self._try_listen_tf_v1,
self._try_listen_tf_legacy, self._log_listen_failed
])
def _print_run_attr(run, attr_name):
util.try_apply([
lambda: _try_print_formatted_run_attr(run, attr_name),
lambda: _try_print_raw_run_attr(run, attr_name),
lambda: _no_such_run_attr_error(attr_name),
])
