Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.8/site-packages/tensorflow/python/ops/default_gradient.py: 29%

1# Copyright 2019 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"""Utilities for computing default gradients.""" 

16from tensorflow.python.framework import dtypes 

17from tensorflow.python.framework import tensor_shape 

18from tensorflow.python.ops import array_ops 

19from tensorflow.python.ops import resource_variable_ops 

20 

21 

22def get_zeros_dtype(t): 

23 """Return the dtype for the default gradient for a Tensor.""" 

24 if t.dtype == dtypes.resource: 

25 handle_data = resource_variable_ops.get_eager_safe_handle_data(t) 

26 if (handle_data is None or not handle_data.is_set or 

27 len(handle_data.shape_and_type) != 1): 

28 raise ValueError("Internal error: Tried to take gradients (or similar) " 

29 "of a variable without handle data:\n%s" % str(t)) 

30 return handle_data.shape_and_type[0].dtype 

31 return t.dtype 

32 

33 

34def shape_and_dtype(t): 

35 """Return the shape and dtype for the default gradient for a Tensor.""" 

36 if t.dtype == dtypes.resource: 

37 handle_data = resource_variable_ops.get_eager_safe_handle_data(t) 

38 if (handle_data is None or not handle_data.is_set or 

39 len(handle_data.shape_and_type) != 1): 

40 raise ValueError("Internal error: Tried to take gradients (or similar) " 

41 "of a variable without handle data:\n%s" % str(t)) 

42 shape_and_type = handle_data.shape_and_type[0] 

43 return (tensor_shape.TensorShape(shape_and_type.shape), 

44 dtypes.as_dtype(shape_and_type.dtype)) 

45 return t.shape, t.dtype 

46 

47 

48def zeros_like(t): 

49 """Like array_ops.zeros_like, but respects resource handles.""" 

50 if t.dtype == dtypes.resource: 

51 return array_ops.zeros(*shape_and_dtype(t)) 

52 else: 

53 return array_ops.zeros_like(t) 

54 

55 

56def ones_like(t): 

57 """Like array_ops.ones_like, but respects resource handles.""" 

58 if t.dtype == dtypes.resource: 

59 return array_ops.ones(*shape_and_dtype(t)) 

60 else: 

61 return array_ops.ones_like(t) 

62 

63 

64def supports_default_grad(t): 

65 """Whether tensor `t` supports creating a default gradient. 

66 

67 This function assumes that `t` is of a trainable type. 

68 

69 Args: 

70 t: Tensor 

71 

72 Returns: 

73 Bool 

74 """ 

75 if t.dtype == dtypes.resource: 

76 handle_data = resource_variable_ops.get_eager_safe_handle_data(t) 

77 if (handle_data is None or not handle_data.is_set or 

78 len(handle_data.shape_and_type) != 1): 

79 return False 

80 return True