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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Environment configuration object for Estimators."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
class TaskType(object):
MASTER = 'master'
PS = 'ps'
WORKER = 'worker'
class RunConfig(object):
"""This class specifies the configurations for an `Estimator` run."""
@property
def cluster_spec(self):
return None
@property
def evaluation_master(self):
return ''
@property
def is_chief(self):
return True
@property
def master(self):
return ''
@property
def num_ps_replicas(self):
return 0
@property
def num_worker_replicas(self):
return 1
@property
def task_id(self):
return 0
@property
def task_type(self):
return TaskType.WORKER
@property
def tf_random_seed(self):
return 1
@property
def save_summary_steps(self):
return 100
@property
def save_checkpoints_secs(self):
return 600
@property
def save_checkpoints_steps(self):
return None
@property
def keep_checkpoint_max(self):
return 5
@property
def keep_checkpoint_every_n_hours(self):
return 10000
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