1# Copyright 2018 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"""A configure tuple for high-level APIs for running distribution strategies.""" 16 17import collections 18 19 20class DistributeConfig( 21 collections.namedtuple( 22 'DistributeConfig', 23 ['train_distribute', 'eval_distribute', 'remote_cluster'])): 24 """A config tuple for distribution strategies. 25 26 Attributes: 27 train_distribute: a `DistributionStrategy` object for training. 28 eval_distribute: an optional `DistributionStrategy` object for 29 evaluation. 30 remote_cluster: a dict, `ClusterDef` or `ClusterSpec` object specifying 31 the cluster configurations. If this is given, the `train_and_evaluate` 32 method will be running as a standalone client which connects to the 33 cluster for training. 34 """ 35 36 def __new__(cls, 37 train_distribute=None, 38 eval_distribute=None, 39 remote_cluster=None): 40 return super(DistributeConfig, cls).__new__(cls, train_distribute, 41 eval_distribute, remote_cluster) 42