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Log tensorboard directly into experiments directory

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This commit is contained in:
James Betker 2020-06-18 11:33:02 -06:00
parent 778e7b6931
commit 2e3b6bad77
1 changed files with 1 additions and 7 deletions
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8
codes/train.py
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@ -92,13 +92,7 @@ def main():
logger.info(option.dict2str(opt))
# tensorboard logger
if opt['use_tb_logger'] and 'debug' not in opt['name']:
tb_logger_path = '../tb_logger/' + opt['name']
# If not resuming, delete the existing logs. Tensorboard doesn't do too great with these.
if opt['path'].get('resume_state', None) is None:
if os.path.exists(tb_logger_path) and os.path.isdir(tb_logger_path):
shutil.rmtree(tb_logger_path)
tb_logger_path = os.path.join(opt['path']['experiments_root'], 'tb_logger')
version = float(torch.__version__[0:3])
if version >= 1.1: # PyTorch 1.1
from torch.utils.tensorboard import SummaryWriter