Bienqq
/
car-detection-bayes
2
1
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Merge pull request #162 from fatihbaltaci/master 

Local tcp:ip and changed setting of rank and world-size
This commit is contained in:
Glenn Jocher 2019-03-25 13:35:05 +01:00 committed by GitHub
parent 16ad6f9739 9208a91095
commit 49ae0a55b1
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
train.py
View File

@ -212,9 +212,9 @@ if __name__ == '__main__':
parser.add_argument('--img-size', type=int, default=32 * 13, help='pixels') parser.add_argument('--img-size', type=int, default=32 * 13, help='pixels')
parser.add_argument('--resume', action='store_true', help='resume training flag') parser.add_argument('--resume', action='store_true', help='resume training flag')
parser.add_argument('--num-workers', type=int, default=4, help='number of Pytorch DataLoader workers') parser.add_argument('--num-workers', type=int, default=4, help='number of Pytorch DataLoader workers')
parser.add_argument('--dist-url', default='tcp://224.66.41.62:23456', type=str,help='url used to set up distributed training') parser.add_argument('--dist-url', default='tcp://127.0.0.1:9999', type=str,help='url used to set up distributed training')
parser.add_argument('--rank', default=-1, type=int,help='node rank for distributed training') parser.add_argument('--rank', default=0, type=int,help='node rank for distributed training')
parser.add_argument('--world-size', default=-1, type=int,help='number of nodes for distributed training') parser.add_argument('--world-size', default=1, type=int,help='number of nodes for distributed training')
parser.add_argument('--dist-backend', default='nccl', type=str,help='distributed backend') parser.add_argument('--dist-backend', default='nccl', type=str,help='distributed backend')
opt = parser.parse_args() opt = parser.parse_args()
print(opt, end='\n\n') print(opt, end='\n\n')