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main.py
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main.py
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import sys
import argparse
import traceback
import time
import shutil
import logging
import torch.cuda
import yaml
import sys
import os
import numpy as np
import jax
from runners import *
def parse_args_and_config():
parser = argparse.ArgumentParser(description=globals()['__doc__'])
# parser.add_argument('--runner', type=str, default='PixelCNNPPSamplerRunner', help='The runner to execute')
# parser.add_argument('--config', type=str, default='pixelcnnpp_sampler.yml', help='Path to the config file')
# parser.add_argument('--runner', type=str, default='CachedPixelCNNPPSamplerRunner', help='The runner to execute')
# parser.add_argument('--config', type=str, default='cached_pixelcnnpp_sampler.yml', help='Path to the config file')
# parser.add_argument('--runner', type=str, default='GSJacobiPixelCNNPPSamplerRunner', help='The runner to execute')
# parser.add_argument('--config', type=str, default='gs_jacobi_pixelcnnpp_sampler.yml', help='Path to the config file')
# parser.add_argument('--runner', type=str, default='JacobiGSPixelCNNPPSamplerRunner', help='The runner to execute')
# parser.add_argument('--config', type=str, default='jacobi_gs_pixelcnnpp_sampler.yml', help='Path to the config file')
# parser.add_argument('--runner', type=str, default='MADESamplerRunner', help='The runner to execute')
# parser.add_argument('--config', type=str, default='made_sampler.yml', help='Path to the config file')
# parser.add_argument('--runner', type=str, default='DenseNetRunner', help='The runner to execute')
# parser.add_argument('--config', type=str, default='densenet.yml', help='Path to the config file')
parser.add_argument('--runner', type=str, default='BackpropRunner', help='The runner to execute')
parser.add_argument('--config', type=str, default='backprop.yml', help='Path to the config file')
parser.add_argument('--seed', type=int, default=1234, help='Random seed')
parser.add_argument('--run', type=str, default='runs', help='Path for saving running related data.')
parser.add_argument('--doc', type=str, default='0', help='A string for documentation purpose')
parser.add_argument('--comment', type=str, default='', help='A string for experiment comment')
parser.add_argument('--verbose', type=str, default='info', help='Verbose level: info | debug | warning | critical')
parser.add_argument('--test', action='store_true', help='Whether to test the model')
parser.add_argument('--resume_training', action='store_true', help='Whether to resume training')
parser.add_argument('-i', '--image_folder', type=str, default='images', help="The directory of image outputs")
parser.add_argument('--ni', action='store_true', help="No interaction mode. Suitable for Slurm.")
args = parser.parse_args()
args.log = os.path.join(args.run, 'logs', args.doc)
if args.config not in ['densenet.yml', 'made_sampler.yml', 'backprop.yml']:
# Hack: only use jax when needed to prevent GPU memory preallocation
args.rng = jax.random.PRNGKey(args.seed)
# parse config file
with open(os.path.join('configs', args.config), 'r') as f:
config = yaml.load(f, Loader=yaml.FullLoader)
new_config = dict2namespace(config)
if torch.cuda.is_available():
new_config.device = torch.device('cuda')
else:
new_config.device = torch.device('cpu')
if not args.test:
if not args.resume_training:
if os.path.exists(args.log):
if not args.ni:
answer = input("Log folder already exists. Overwrite? (Y/n)\n")
if not args.ni and answer.lower() == 'n':
sys.exit(0)
else:
shutil.rmtree(args.log)
os.makedirs(args.log)
with open(os.path.join(args.log, 'config.yml'), 'w') as f:
yaml.dump(vars(new_config), f, default_flow_style=False)
# setup logger
level = getattr(logging, args.verbose.upper(), None)
if not isinstance(level, int):
raise ValueError('level {} not supported'.format(args.verbose))
handler1 = logging.StreamHandler()
handler2 = logging.FileHandler(os.path.join(args.log, 'stdout.txt'))
formatter = logging.Formatter('%(levelname)s - %(filename)s - %(asctime)s - %(message)s')
handler1.setFormatter(formatter)
handler2.setFormatter(formatter)
logger = logging.getLogger()
logger.addHandler(handler1)
logger.addHandler(handler2)
logger.setLevel(level)
else:
level = getattr(logging, args.verbose.upper(), None)
if not isinstance(level, int):
raise ValueError('level {} not supported'.format(args.verbose))
handler1 = logging.StreamHandler()
formatter = logging.Formatter('%(levelname)s - %(filename)s - %(asctime)s - %(message)s')
handler1.setFormatter(formatter)
logger = logging.getLogger()
logger.addHandler(handler1)
logger.setLevel(level)
return args, new_config
def dict2namespace(config):
namespace = argparse.Namespace()
for key, value in config.items():
if isinstance(value, dict):
new_value = dict2namespace(value)
else:
new_value = value
setattr(namespace, key, new_value)
return namespace
def main():
args, config = parse_args_and_config()
logging.info("Writing log file to {}".format(args.log))
logging.info("Exp instance id = {}".format(os.getpid()))
logging.info("Exp comment = {}".format(args.comment))
logging.info("Config =")
print(">" * 80)
print(yaml.dump(vars(config), default_flow_style=False))
print("<" * 80)
try:
runner = eval(args.runner)(args, config)
if not args.test:
runner.train()
else:
runner.test()
except:
logging.error(traceback.format_exc())
return 0
if __name__ == '__main__':
sys.exit(main())