STT-tensorflow/tensorflow/python/tf2.py
Francois Chollet 1f60c85014 Make tf2.enabled() available in the __internal__ namespace.
PiperOrigin-RevId: 338765979
Change-Id: Ifa8bbd78f468e0443de38fb4391e831e235e31f3
2020-10-23 16:40:18 -07:00

51 lines
1.5 KiB
Python

# Copyright 2018 The TensorFlow Authors. 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.
# ==============================================================================
"""Tools to help with the TensorFlow 2.0 transition.
This module is meant for TensorFlow internal implementation, not for users of
the TensorFlow library. For that see tf.compat instead.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from tensorflow.python.util.tf_export import tf_export
_force_enable = None
def enable():
# Enables v2 behaviors.
global _force_enable
_force_enable = True
def disable():
# Disables v2 behaviors.
global _force_enable
_force_enable = False
@tf_export("__internal__.tf2.enabled", v1=[])
def enabled():
# Returns True iff TensorFlow 2.0 behavior should be enabled.
if _force_enable is None:
return os.getenv("TF2_BEHAVIOR", "0") != "0"
return _force_enable