wehub-resource-sync
117 lines
4.2 KiB
Python
117 lines
4.2 KiB
Python
# Copyright 2022 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 variable_utils."""
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from tensorflow.python.eager import context
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from tensorflow.python.framework import composite_tensor
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import tensor
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import resource_variable_ops
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from tensorflow.python.ops import variables
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from tensorflow.python.platform import test
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from tensorflow.python.util import nest
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from tensorflow.python.util import variable_utils
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class CT(composite_tensor.CompositeTensor):
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"""A generic CompositeTensor, used for constructing tests."""
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@property
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def _type_spec(self):
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pass
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class CT2(composite_tensor.CompositeTensor):
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"""Another CompositeTensor, used for constructing tests."""
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def __init__(self, component):
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self.component = component
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@property
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def _type_spec(self):
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pass
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def _convert_variables_to_tensors(self):
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return CT2(ops.convert_to_tensor(self.component))
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@test_util.run_all_in_graph_and_eager_modes
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class VariableUtilsTest(test.TestCase):
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def test_convert_variables_to_tensors(self):
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ct = CT()
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data = [resource_variable_ops.ResourceVariable(1),
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resource_variable_ops.ResourceVariable(2),
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constant_op.constant(3),
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[4],
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5,
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ct]
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if not context.executing_eagerly():
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self.evaluate(variables.global_variables_initializer())
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results = variable_utils.convert_variables_to_tensors(data)
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expected_results = [1, 2, 3, [4], 5, ct]
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# Only ResourceVariables are converted to Tensors.
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self.assertIsInstance(results[0], tensor.Tensor)
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self.assertIsInstance(results[1], tensor.Tensor)
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self.assertIsInstance(results[2], tensor.Tensor)
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self.assertIsInstance(results[3], list)
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self.assertIsInstance(results[4], int)
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self.assertIs(results[5], ct)
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results[:3] = self.evaluate(results[:3])
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self.assertAllEqual(results, expected_results)
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def test_convert_variables_in_composite_tensor(self):
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ct2 = CT2(resource_variable_ops.ResourceVariable(1))
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if not context.executing_eagerly():
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self.evaluate(variables.global_variables_initializer())
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self.assertIsInstance(ct2.component,
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resource_variable_ops.ResourceVariable)
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result = variable_utils.convert_variables_to_tensors(ct2)
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self.assertIsInstance(result.component, tensor.Tensor)
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self.assertAllEqual(result.component, 1)
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def test_replace_variables_with_atoms(self):
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data = [resource_variable_ops.ResourceVariable(1),
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resource_variable_ops.ResourceVariable(2),
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constant_op.constant(3),
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[4],
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5]
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if not context.executing_eagerly():
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self.evaluate(variables.global_variables_initializer())
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results = variable_utils.replace_variables_with_atoms(data)
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expected_results = [0, 0, 3, [4], 5]
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# Only ResourceVariables are replaced with int 0s.
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self.assertIsInstance(results[0], int)
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self.assertIsInstance(results[1], int)
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self.assertIsInstance(results[2], tensor.Tensor)
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self.assertIsInstance(results[3], list)
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self.assertIsInstance(results[4], int)
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results[2] = self.evaluate(results[2])
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self.assertAllEqual(results, expected_results)
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# Make sure 0 is a tf.nest atom with expand_composites=True.
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flat_results = nest.flatten(results, expand_composites=True)
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expected_flat_results = [0, 0, 3, 4, 5]
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self.assertAllEqual(flat_results, expected_flat_results)
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if __name__ == "__main__":
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test.main()
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