46 lines
1.8 KiB
Python
46 lines
1.8 KiB
Python
# Copyright 2018 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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"""A configure tuple for high-level APIs for running distribution strategies."""
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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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import collections
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class DistributeConfig(
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collections.namedtuple(
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'DistributeConfig',
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['train_distribute', 'eval_distribute', 'remote_cluster'])):
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"""A config tuple for distribution strategies.
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Attributes:
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train_distribute: a `DistributionStrategy` object for training.
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eval_distribute: an optional `DistributionStrategy` object for
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evaluation.
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remote_cluster: a dict, `ClusterDef` or `ClusterSpec` object specifying
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the cluster configurations. If this is given, the `train_and_evaluate`
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method will be running as a standalone client which connects to the
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cluster for training.
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"""
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def __new__(cls,
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train_distribute=None,
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eval_distribute=None,
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remote_cluster=None):
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return super(DistributeConfig, cls).__new__(cls, train_distribute,
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eval_distribute, remote_cluster)
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