STT-tensorflow/tensorflow/python/framework/tf2_test.py
Igor Saprykin 42b8511f63 Move combinations.py closer to TF's test_util.py.
Customizations are split into tf.distribute.*-specific and general TF.

PiperOrigin-RevId: 257903643
2019-07-12 18:19:51 -07:00

87 lines
2.7 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.
# ==============================================================================
"""Tests for enabling and disabling TF2 behavior."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from absl.testing import parameterized
from tensorflow.python import tf2
from tensorflow.python.framework import combinations
from tensorflow.python.platform import test
def set_environ():
os.environ['TF2_BEHAVIOR'] = '1'
def unset_environ():
os.environ['TF2_BEHAVIOR'] = '0'
class EnablingTF2Behavior(test.TestCase, parameterized.TestCase):
def setUp(self):
super(EnablingTF2Behavior, self).setUp()
tf2._force_enable = None
if 'TF2_BEHAVIOR' in os.environ:
del os.environ['TF2_BEHAVIOR']
actions = [tf2.enable, tf2.disable, set_environ, unset_environ]
@combinations.generate(
combinations.combine(
action_0=actions, action_1=actions,
action_2=actions, action_3=actions))
def test_scenarios(self, action_0, action_1, action_2, action_3):
def state(action, enabled, disabled):
"""Returns bool tuple (tf2_enabled, force_enabled, force_disabled)."""
if action is tf2.enable:
return True, True, False
elif action is tf2.disable:
return False, False, True
elif action is set_environ:
return not disabled, enabled, disabled
elif action is unset_environ:
return enabled, enabled, disabled
else:
raise ValueError('Unexpected action {}. {} are supported'.format(
action, EnablingTF2Behavior.actions))
action_0()
expected, enabled, disabled = state(action_0, False, False)
self.assertEqual(tf2.enabled(), expected)
action_1()
expected, enabled, disabled = state(action_1, enabled, disabled)
self.assertEqual(tf2.enabled(), expected)
action_2()
expected, enabled, disabled = state(action_2, enabled, disabled)
self.assertEqual(tf2.enabled(), expected)
action_3()
expected, enabled, disabled = state(action_3, enabled, disabled)
self.assertEqual(tf2.enabled(), expected)
if __name__ == '__main__':
test.main()