qiaoguan / Person-reid-GAN-pytorch

A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)

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hello,i met a problem when run train_baseline.py

biubug6 opened this issue · comments

trouble is printed follow:
/home/dl/.local/lib/python2.7/site-packages/torchvision/models/densenet.py:212: UserWarning: nn.init.kaiming_normal is now deprecated in favor of nn.init.kaiming_normal_.
nn.init.kaiming_normal(m.weight.data)
Traceback (most recent call last):
File "train_baseline.py", line 333, in
model=nn.DataParallel(model,device_ids=[0,1,2]) # multi-GPU
File "/home/dl/.local/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 102, in init
_check_balance(self.device_ids)
File "/home/dl/.local/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 17, in _check_balance
dev_props = [torch.cuda.get_device_properties(i) for i in device_ids]
File "/home/dl/.local/lib/python2.7/site-packages/torch/cuda/init.py", line 292, in get_device_properties
raise AssertionError("Invalid device id")
AssertionError: Invalid device id

commented

this code is for multi-GPU training, did you use multi-gpu? if not , change to single-GPU training mode