62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
|
# Copyright 2016 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.
|
||
|
|
# ==============================================================================
|
||
|
|
"""Basic loop for training."""
|
||
|
|
from __future__ import absolute_import
|
||
|
|
from __future__ import division
|
||
|
|
from __future__ import print_function
|
||
|
|
|
||
|
|
from tensorflow.python.framework import errors
|
||
|
|
from tensorflow.python.util.tf_export import tf_export
|
||
|
|
|
||
|
|
|
||
|
|
@tf_export("train.basic_train_loop")
|
||
|
|
def basic_train_loop(supervisor, train_step_fn, args=None,
|
||
|
|
kwargs=None, master=""):
|
||
|
|
"""Basic loop to train a model.
|
||
|
|
|
||
|
|
Calls `train_step_fn` in a loop to train a model. The function is called as:
|
||
|
|
|
||
|
|
```python
|
||
|
|
train_step_fn(session, *args, **kwargs)
|
||
|
|
```
|
||
|
|
|
||
|
|
It is passed a `tf.Session` in addition to `args` and `kwargs`. The function
|
||
|
|
typically runs one training step in the session.
|
||
|
|
|
||
|
|
Args:
|
||
|
|
supervisor: `tf.train.Supervisor` to run the training services.
|
||
|
|
train_step_fn: Callable to execute one training step. Called
|
||
|
|
repeatedly as `train_step_fn(session, *args **kwargs)`.
|
||
|
|
args: Optional positional arguments passed to `train_step_fn`.
|
||
|
|
kwargs: Optional keyword arguments passed to `train_step_fn`.
|
||
|
|
master: Master to use to create the training session. Defaults to
|
||
|
|
`""` which causes the session to be created in the local process.
|
||
|
|
"""
|
||
|
|
if args is None:
|
||
|
|
args = []
|
||
|
|
if kwargs is None:
|
||
|
|
kwargs = {}
|
||
|
|
should_retry = True
|
||
|
|
while should_retry:
|
||
|
|
try:
|
||
|
|
should_retry = False
|
||
|
|
with supervisor.managed_session(master) as sess:
|
||
|
|
while not supervisor.should_stop():
|
||
|
|
train_step_fn(sess, *args, **kwargs)
|
||
|
|
except errors.AbortedError:
|
||
|
|
# Always re-run on AbortedError as it indicates a restart of one of the
|
||
|
|
# distributed tensorflow servers.
|
||
|
|
should_retry = True
|