Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/data/util/convert.py: 35%

1# Copyright 2017 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"""Helpers constructing Datasets.""" 

16from tensorflow.python.framework import constant_op 

17from tensorflow.python.framework import dtypes 

18from tensorflow.python.framework import ops 

19from tensorflow.python.framework import tensor_shape 

20 

21 

22def optional_param_to_tensor(argument_name, 

23 argument_value, 

24 argument_default=0, 

25 argument_dtype=dtypes.int64): 

26 if argument_value is not None: 

27 return ops.convert_to_tensor( 

28 argument_value, dtype=argument_dtype, name=argument_name) 

29 else: 

30 return constant_op.constant( 

31 argument_default, dtype=argument_dtype, name=argument_name) 

32 

33 

34def partial_shape_to_tensor(shape_like): 

35 """Returns a `tf.Tensor` that represents the given shape. 

36 

37 Args: 

38 shape_like: A value that can be converted to a `tf.TensorShape` or a 

39 `tf.Tensor`. 

40 

41 Returns: 

42 A 1-D `tf.Tensor` of `tf.int64` elements representing the given shape, where 

43 `-1` is substituted for any unknown dimensions. 

44 """ 

45 try: 

46 # First attempt to convert the input to a shape, and return the 

47 # "canonical" tensor representation, which uses `-1` in place of 

48 # `None`. 

49 shape_like = tensor_shape.as_shape(shape_like) 

50 return ops.convert_to_tensor( 

51 [dim if dim is not None else -1 for dim in shape_like.as_list()], 

52 dtype=dtypes.int64) 

53 except (TypeError, ValueError): 

54 # The argument was not trivially convertible to a 

55 # `tf.TensorShape`, so fall back on the conversion to tensor 

56 # machinery. 

57 ret = ops.convert_to_tensor(shape_like, preferred_dtype=dtypes.int64) 

58 if ret.shape.dims is not None and len(ret.shape.dims) != 1: 

59 raise ValueError("The given shape {} must be a 1-D tensor of `tf.int64` " 

60 "values, but the shape was {}.".format( 

61 shape_like, ret.shape)) 

62 if ret.dtype != dtypes.int64: 

63 raise TypeError("The given shape {} must be a 1-D tensor of `tf.int64` " 

64 "values, but the element type was {}.".format( 

65 shape_like, ret.dtype.name)) 

66 

67 return ret