67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
# Copyright 2019 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 VariableSpec."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import tensor_shape
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from tensorflow.python.ops import resource_variable_ops
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from tensorflow.python.platform import test
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VariableSpec = resource_variable_ops.VariableSpec
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class VariableSpecTest(test.TestCase):
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def test_properties(self):
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spec = VariableSpec(shape=(1, 2, 3), dtype=dtypes.float64, name='vs')
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self.assertEqual('vs', spec.name)
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self.assertEqual(tensor_shape.TensorShape((1, 2, 3)), spec.shape)
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self.assertEqual(dtypes.float64, spec.dtype)
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def test_compatibility(self):
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spec = VariableSpec(shape=None)
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spec2 = VariableSpec(shape=[None, 15])
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spec3 = VariableSpec(shape=[None])
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self.assertTrue(spec.is_compatible_with(spec2))
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self.assertFalse(spec2.is_compatible_with(spec3))
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var = resource_variable_ops.UninitializedVariable(
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shape=[3, 15], dtype=dtypes.float32)
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var2 = resource_variable_ops.UninitializedVariable(
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shape=[3], dtype=dtypes.int32)
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self.assertTrue(spec2.is_compatible_with(var))
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self.assertFalse(spec3.is_compatible_with(var2))
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spec4 = VariableSpec(shape=None, dtype=dtypes.int32)
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spec5 = VariableSpec(shape=[None], dtype=dtypes.int32)
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self.assertFalse(spec.is_compatible_with(spec4))
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self.assertTrue(spec4.is_compatible_with(spec5))
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self.assertTrue(spec4.is_compatible_with(var2))
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tensor = constant_op.constant([1, 2, 3])
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self.assertFalse(spec4.is_compatible_with(tensor))
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if __name__ == '__main__':
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test.main()
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