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5032722 | 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 | import os
from datetime import datetime
def setup_training_dir(args):
if 'assert_no_overwrite' not in dir(args):
args.assert_no_overwrite = True
### create folder/file names
tboard_dir = f'{os.getcwd()}/{args.training_wkdir}/tboard/{args.training_wkdir}'
model_ckpts_dir = f'{os.getcwd()}/{args.training_wkdir}/model_ckpts'
logfile_dir = f'{os.getcwd()}/{args.training_wkdir}/logfiles'
out_arrs_dir = f'{os.getcwd()}/{args.training_wkdir}/out_arrs'
# create logfile in the logfile_dir
logfile_filename = f'PROGRESS.log'
### what to do if training directory exists
# OPTION 1: IF TRAINING WKDIR ALREAD EXISTS, RAISE RUN TIME ERROR
if os.path.exists(f'{os.getcwd()}/{args.training_wkdir}') and args.assert_no_overwrite:
raise RuntimeError(f'{args.training_wkdir} ALREADY EXISTS; DOES IT HAVE DATA?')
# # OPTION 2: IF TRAINING WKDIR ALREADY EXISTS, DELETE IT
# elif os.path.exists(f'{os.getcwd()}/{args.training_wkdir}') and not args.assert_no_overwrite:
# shutil.rmtree(f'{os.getcwd()}/{args.training_wkdir}')
### make training wkdir and subdirectories
if not os.path.exists(f'{os.getcwd()}/{args.training_wkdir}'):
os.mkdir(f'{os.getcwd()}/{args.training_wkdir}')
os.mkdir(model_ckpts_dir)
os.mkdir(logfile_dir)
os.mkdir(out_arrs_dir)
# tensorboard directory takes care of itself
### add these filenames to the args dictionary, to be passed to training
### script
args.tboard_dir = tboard_dir
args.model_ckpts_dir = model_ckpts_dir
args.logfile_dir = logfile_dir
args.logfile_name = f'{logfile_dir}/{logfile_filename}'
args.out_arrs_dir = out_arrs_dir
### timestamp
with open(args.logfile_name, "w") as g:
g.write(f"Start run on: {datetime.now()}\n\n")
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