70 lines
2.5 KiB
Python
70 lines
2.5 KiB
Python
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# Copyright 2015 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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"""Loader functionality for SavedModel with hermetic, language-neutral exports.
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Load and restore capability for a SavedModel, which may include multiple meta
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graph defs. Each SavedModel is associated with a single checkpoint. Each meta
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graph def is saved with one or more tags, which are used to identify the exact
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meta graph def to load.
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The `load` operation requires the session in which to restore the graph
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definition and variables, the tags used to identify the meta graph def to
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load and the location of the SavedModel.
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Upon a load, the subset of variables and assets supplied as part of the specific
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meta graph def, will be restored into the supplied session. The values of the
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variables though will correspond to the saved values from the first meta graph
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added to the SavedModel using `add_meta_graph_and_variables(...)` in
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`builder.py`.
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Typical usage:
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```python
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...
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builder = tf.saved_model.builder.SavedModelBuilder(export_dir)
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with tf.Session(graph=tf.Graph()) as sess:
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...
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builder.add_meta_graph_and_variables(sess,
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["foo-tag"],
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signature_def_map=foo_signatures,
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assets_collection=foo_assets)
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...
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with tf.Session(graph=tf.Graph()) as sess:
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...
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builder.add_meta_graph(["bar-tag", "baz-tag"],
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assets_collection=bar_baz_assets)
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...
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builder.save()
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...
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with tf.Session(graph=tf.Graph()) as sess:
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tf.saved_model.loader.load(sess, ["foo-tag"], export_dir)
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...
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```
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"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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# pylint: disable=unused-import
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from tensorflow.python.saved_model.loader_impl import load
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from tensorflow.python.saved_model.loader_impl import maybe_saved_model_directory
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# pylint: enable=unused-import
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