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42 lines
1.6 KiB
Python
42 lines
1.6 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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"""`Callable` class used for checkpointing."""
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from tensorflow.python.training.saving import saveable_object
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class Callable(saveable_object.SaveSpec):
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"""A callable that represents a Tensor that should be saved to checkpoint.
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This can be returned from `_serialize_to_tensor` in place of a Tensor. The
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callable will be executed on the specified device when the checkpoint is
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about to be written.
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Any class can use `Callable` for checkpointing, but for SavedModel export,
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only resource-type variables* are supported.
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* `resource_variable_ops.is_resource_variable(obj)` must return True.
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"""
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def __init__(self, tensor_callable, dtype, device):
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"""Initializes a `Callable` object.
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Args:
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tensor_callable: A callable that takes no arguments and returns a Tensor.
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dtype: Dtype of the tensor returned by the callable.
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device: Device of the tensor returned by the callable.
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"""
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super().__init__(tensor_callable, None, None, dtype, device)
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