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pretrain_generator.py
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pretrain_generator.py
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import os
import json
import argparse
from utils import utils
from agents.AgentPretrain import AgentPretrain
if __name__ == "__main__":
print('----------------------------------------')
print('---- Pre-train flow field generator ----')
print('----------------------------------------' + '\n')
# Define an argument parser
parser = argparse.ArgumentParser('Pre-train flow field generator')
parser.add_argument('--config_path', default='./config_files/')
parser.add_argument('--config', default='config_pretrain.json')
args = parser.parse_args()
print('Arguments:\n' + '--config_path: ' + args.config_path + '\n--config: ' + args.config + '\n')
# Read config
with open(args.config_path + args.config, 'r') as config:
config = config.read()
# Parse config
config = json.loads(config)
# Create folder to save experiment-related files
os.mkdir('./archive/' + config['experiment_description'])
SAVINGS_PATH = './archive/' + config['experiment_description'] + '/'
utils.make_zip(SAVINGS_PATH + config['experiment_description'] + '.zip', './', args.config)
# Call agent and run experiment
experiment = AgentPretrain(config)
experiment.run()