wehub-resource-sync
71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for misc module."""
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from tensorflow.python.autograph.utils import misc
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import test_util
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from tensorflow.python.framework.constant_op import constant
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from tensorflow.python.ops.variables import Variable
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from tensorflow.python.platform import test
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class MiscTest(test.TestCase):
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@test_util.run_deprecated_v1
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def test_alias_single_tensor(self):
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a = constant(1)
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new_a = misc.alias_tensors(a)
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self.assertFalse(new_a is a)
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with self.cached_session() as sess:
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self.assertEqual(1, self.evaluate(new_a))
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@test_util.run_deprecated_v1
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def test_alias_tensors(self):
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a = constant(1)
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v = Variable(2)
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s = 'a'
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l = [1, 2, 3]
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new_a, new_v, new_s, new_l = misc.alias_tensors(a, v, s, l)
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self.assertFalse(new_a is a)
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self.assertTrue(new_v is v)
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self.assertTrue(new_s is s)
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self.assertTrue(new_l is l)
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with self.cached_session() as sess:
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self.assertEqual(1, self.evaluate(new_a))
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def test_get_range_len(self):
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get_range_as_graph = def_function.function(misc.get_range_len)
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test_range = [(i, constant_op.constant(i)) for i in range(-3, 3)]
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results = []
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for i, ti in test_range:
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for j, tj in test_range:
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for k, tk in test_range:
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if k == 0:
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continue
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results.append(((i, j, k), get_range_as_graph(ti, tj, tk)))
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for (i, j, k), result_tensor in results:
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self.assertEqual(
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len(list(range(i, j, k))), self.evaluate(result_tensor))
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if __name__ == '__main__':
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test.main()
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