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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"""`Callable` class used for checkpointing.""" 

16 

17from tensorflow.python.training.saving import saveable_object 

18 

19 

20class Callable(saveable_object.SaveSpec): 

21 """A callable that represents a Tensor that should be saved to checkpoint. 

22 

23 This can be returned from `_serialize_to_tensor` in place of a Tensor. The 

24 callable will be executed on the specified device when the checkpoint is 

25 about to be written. 

26 

27 Any class can use `Callable` for checkpointing, but for SavedModel export, 

28 only resource-type variables* are supported. 

29 

30 * `resource_variable_ops.is_resource_variable(obj)` must return True. 

31 """ 

32 

33 def __init__(self, tensor_callable, dtype, device): 

34 """Initializes a `Callable` object. 

35 

36 Args: 

37 tensor_callable: A callable that takes no arguments and returns a Tensor. 

38 dtype: Dtype of the tensor returned by the callable. 

39 device: Device of the tensor returned by the callable. 

40 """ 

41 super().__init__(tensor_callable, None, None, dtype, device)