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Prompt user for gpu_id if multiple gpus are detected

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This commit is contained in:
James Betker 2020-10-01 17:24:50 -06:00
parent aa4fd89018
commit c9a9e5c525
1 changed files with 7 additions and 1 deletions
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8
codes/train.py
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@ -32,7 +32,7 @@ def init_dist(backend='nccl', **kwargs):
def main():
#### options
parser = argparse.ArgumentParser()
parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_exd_imgset_spsr7_multiloss.yml')
parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_exd_imgset_ssgr.yml')
parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
parser.add_argument('--local_rank', type=int, default=0)
args = parser.parse_args()
@ -61,6 +61,12 @@ def main():
opt['dist'] = False
rank = -1
print('Disabled distributed training.')
if torch.cuda.device_count() > 1:
gpu = input('I noticed you have multiple GPUs. Starting two jobs on the same GPU sucks. Please confirm which GPU'
'you want to use. Press enter to use the specified one [%i]' % (opt['gpu_ids']))
if gpu:
opt['gpu_ids'] = [int(gpu)]
else:
opt['dist'] = True
init_dist()