File size: 2,882 Bytes
97b6013 |
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 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
# Copyright 2018 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.
# ==============================================================================
"""Script to run run_train.py locally.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import random
from subprocess import call
import sys
CONFIGS_PATH = './configs'
CONTEXT_CONFIGS_PATH = './context/configs'
def main():
bb = '.'
base_num_args = 6
if len(sys.argv) < base_num_args:
print(
"usage: python %s <exp_name> <context_setting_gin> <env_context_gin> "
"<agent_gin> <suite> [params...]"
% sys.argv[0])
sys.exit(0)
exp = sys.argv[1] # Name for experiment, e.g. 'test001'
context_setting = sys.argv[2] # Context setting, e.g. 'hiro_orig'
context = sys.argv[3] # Environment-specific context, e.g. 'ant_maze'
agent = sys.argv[4] # Agent settings, e.g. 'base_uvf'
assert sys.argv[5] in ["suite"], "args[5] must be `suite'"
suite = ""
binary = "python {bb}/run_train{suite}.py ".format(bb=bb, suite=suite)
h = os.environ["HOME"]
ucp = CONFIGS_PATH
ccp = CONTEXT_CONFIGS_PATH
extra = ''
port = random.randint(2000, 8000)
command_str = ("{binary} "
"--train_dir={h}/tmp/{context_setting}/{context}/{agent}/{exp}/train "
"--config_file={ucp}/{agent}.gin "
"--config_file={ucp}/train_{extra}uvf.gin "
"--config_file={ccp}/{context_setting}.gin "
"--config_file={ccp}/{context}.gin "
"--summarize_gradients=False "
"--save_interval_secs=60 "
"--save_summaries_secs=1 "
"--master=local "
"--alsologtostderr ").format(h=h, ucp=ucp,
context_setting=context_setting,
context=context, ccp=ccp,
suite=suite, agent=agent, extra=extra,
exp=exp, binary=binary,
port=port)
for extra_arg in sys.argv[base_num_args:]:
command_str += "--params='%s' " % extra_arg
print(command_str)
call(command_str, shell=True)
if __name__ == "__main__":
main()
|