forked from tensorflow/minigo
-
Notifications
You must be signed in to change notification settings - Fork 0
/
rl_runner.py
48 lines (40 loc) · 1.5 KB
/
rl_runner.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
# Copyright 2018 Google LLC
#
# 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.
""" Run gather and train in a loop, as subprocesses.
We run as subprocesses because it gives us some isolation.
If the gather job dies more than three times, we quit entirely.
"""
import subprocess
import sys
import argh
from utils import timer
def loop(logdir=None):
gather_errors = 0
while True:
print("==================================")
with timer("Gather"):
gather = subprocess.call("python rl_loop.py gather".split())
if gather != 0:
print("Error in gather, retrying")
gather_errors += 1
if gather_errors == 3:
print("Gathering died too many times!")
sys.exit(1)
continue
gather_errors = 0
with timer("Train"):
subprocess.call(
("python rl_loop.py train --logdir=%s" % logdir).split())
if __name__ == '__main__':
argh.dispatch_command(loop)