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util.py
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util.py
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# Copyright 2019 Uber Technologies, Inc. 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.
# ==============================================================================
from distutils.version import LooseVersion
import tensorflow as tf
if LooseVersion(tf.__version__) >= LooseVersion('1.7.0'): # Eager Mode has been introduced in TF 1.7.0
from tensorflow.python.eager import context
_has_eager = True
else:
_has_eager = False
def _executing_eagerly():
"""Returns true if eager execution is supported and enabled."""
return _has_eager and context.executing_eagerly()
def _make_subgraph(f):
if hasattr(tf, 'function'):
# TensorFlow 1.14.0+
return tf.function(f)
else:
return tf.contrib.eager.defun(f)
def _cache(f):
cache = dict()
def wrapper(*args):
key = (args, _executing_eagerly())
if key in cache:
return cache[key]
else:
retval = f(*args)
cache[key] = retval
return retval
return wrapper