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# Copyright 2017 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 multiple_dispatch."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.contrib.autograph.utils import multiple_dispatch
from tensorflow.python.client.session import Session
from tensorflow.python.framework.constant_op import constant
from tensorflow.python.platform import test
class MultipleDispatchTest(test.TestCase):
def test_dynamic_is_python(self):
a = np.eye(3)
also_a = a
not_actually_a = np.eye(3)
should_be_true1 = multiple_dispatch.dynamic_is(a, also_a)
should_be_false1 = multiple_dispatch.dynamic_is_not(a, also_a)
should_be_true2 = multiple_dispatch.dynamic_is_not(a, not_actually_a)
should_be_false2 = multiple_dispatch.dynamic_is(a, not_actually_a)
self.assertTrue(should_be_true1)
self.assertTrue(should_be_true2)
self.assertFalse(should_be_false1)
self.assertFalse(should_be_false2)
def test_dynamic_is_tf(self):
with Session().as_default():
a = constant([2.0])
also_a = a
not_actually_a = constant([2.0])
should_be_true1 = multiple_dispatch.dynamic_is(a, also_a)
should_be_false1 = multiple_dispatch.dynamic_is_not(a, also_a)
should_be_true2 = multiple_dispatch.dynamic_is_not(a, not_actually_a)
should_be_false2 = multiple_dispatch.dynamic_is(a, not_actually_a)
self.assertTrue(should_be_true1)
self.assertTrue(should_be_true2)
self.assertFalse(should_be_false1)
self.assertFalse(should_be_false2)
def test_run_cond_python(self):
true_fn = lambda: (2,)
false_fn = lambda: (3,)
self.assertEqual(multiple_dispatch.run_cond(True, true_fn, false_fn), 2)
self.assertEqual(multiple_dispatch.run_cond(False, true_fn, false_fn), 3)
def test_run_cond_tf(self):
true_fn = lambda: (constant(2),)
false_fn = lambda: (constant(3),)
with Session() as sess:
out = multiple_dispatch.run_cond(constant(True), true_fn, false_fn)
self.assertEqual(sess.run(out), 2)
out = multiple_dispatch.run_cond(constant(False), true_fn, false_fn)
self.assertEqual(sess.run(out), 3)
if __name__ == '__main__':
test.main()
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