# 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_eval.py locally. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import os 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 " " [params...]" % sys.argv[0]) sys.exit(0) exp = sys.argv[1] context_setting = sys.argv[2] context = sys.argv[3] agent = sys.argv[4] assert sys.argv[5] in ["suite"], "args[5] must be `suite'" suite = "" binary = "python {bb}/run_eval{suite}.py ".format(bb=bb, suite=suite) h = os.environ["HOME"] ucp = CONFIGS_PATH ccp = CONTEXT_CONFIGS_PATH extra = '' command_str = ("{binary} " "--logtostderr " "--checkpoint_dir={h}/tmp/{context_setting}/{context}/{agent}/{exp}/train " "--eval_dir={h}/tmp/{context_setting}/{context}/{agent}/{exp}/eval " "--config_file={ucp}/{agent}.gin " "--config_file={ucp}/eval_{extra}uvf.gin " "--config_file={ccp}/{context_setting}.gin " "--config_file={ccp}/{context}.gin ").format( h=h, ucp=ucp, ccp=ccp, context_setting=context_setting, context=context, agent=agent, extra=extra, suite=suite, exp=exp, binary=binary) 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()