1# Copyright 2020 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"""Options for saving SavedModels.""" 16 17from __future__ import absolute_import 18from __future__ import division 19from __future__ import print_function 20 21from tensorflow.python.util.tf_export import tf_export 22 23 24@tf_export("saved_model.LoadOptions", v1=[]) 25class LoadOptions(object): 26 """Options for loading a SavedModel. 27 28 This function may be used in the `options` argument in functions that 29 load a SavedModel (`tf.saved_model.load`, `tf.keras.models.load_model`). 30 """ 31 32 # Define object attributes in __slots__ for improved memory and performance. 33 __slots__ = ("experimental_io_device",) 34 35 def __init__(self, 36 experimental_io_device=None): 37 """Creates an object that stores options for SavedModel loading. 38 39 Args: 40 experimental_io_device: string. Applies in a distributed setting. 41 Tensorflow device to use to access the filesystem. If `None` (default) 42 then for each variable the filesystem is accessed from the CPU:0 device 43 of the host where that variable is assigned. If specified, the 44 filesystem is instead accessed from that device for all variables. 45 This is for example useful if you want to load from a local directory, 46 such as "/tmp" when running in a distributed setting. In that case 47 pass a device for the host where the "/tmp" directory is accessible. 48 49 Example: 50 51 load_options = tf.saved_model.LoadOptions(experimental_io_device= 52 '/job:localhost') 53 restoredmodel = tf.keras.models.load_model(saved_model_path, 54 options=load_options) 55 56 """ 57 self.experimental_io_device = experimental_io_device 58