Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/eager/polymorphic_function/composite_tensor_utils.py: 42%

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1# Copyright 2022 The TensorFlow Authors. All Rights Reserved. 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================== 

15"""Utility to manipulate CompositeTensors in tf.function.""" 

16 

17from tensorflow.python.framework import composite_tensor 

18from tensorflow.python.util import _pywrap_utils 

19from tensorflow.python.util import nest 

20 

21 

22# TODO(b/240337581, b/240337099): Remove this function when we de-alias 

23# dt_resource tensors or tf.nest support is_leaf. 

24def flatten_with_variables(inputs): 

25 """Flattens `inputs` but don't expand `ResourceVariable`s.""" 

26 # We assume that any CompositeTensors have already converted their components 

27 # from numpy arrays to Tensors, so we don't need to expand composites here for 

28 # the numpy array conversion. Instead, we do so because the flattened inputs 

29 # are eventually passed to ConcreteFunction()._call_flat, which requires 

30 # expanded composites. 

31 flat_inputs = [] 

32 for value in nest.flatten(inputs): 

33 if (isinstance(value, composite_tensor.CompositeTensor) and 

34 not _pywrap_utils.IsResourceVariable(value)): 

35 components = value._type_spec._to_components(value) # pylint: disable=protected-access 

36 flat_inputs.extend(flatten_with_variables(components)) 

37 else: 

38 flat_inputs.append(value) 

39 return flat_inputs