Open AvlTreeQL opened 3 years ago
我没有多卡……暂时也不了解
我也有这个问题,楼主解决了吗
我没有多卡所以没法测试,但是这个问题看起来不像多卡的诶
我没有多卡所以没法测试,但是这个问题看起来不像多卡的诶
哎,谢谢大佬了,我再去研究研究
我也是这个问题,请问楼主现在解决了吗?我有两张卡。感觉是net = torch.nn.DataParallel(model)这里的问题,我换成net=model就能运行了,应该还是只能跑单卡的?
emmm我没有双卡现在,还测不了
Traceback (most recent call last): File "/home/avltree/Projects/Siamese-pytorch/train.py", line 202, in
fit_one_epoch(net,loss,epoch,epoch_size,epoch_size_val,gen,gen_val,Freeze_Epoch,Cuda)
File "/home/avltree/Projects/Siamese-pytorch/train.py", line 62, in fit_one_epoch
outputs = net(images)
File "/home/avltree/miniconda3/envs/siamese/lib/python3.6/site-packages/torch/nn/modules/module.py", line 547, in call
result = self.forward(*input, kwargs)
File "/home/avltree/miniconda3/envs/siamese/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 152, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/home/avltree/miniconda3/envs/siamese/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 162, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/avltree/miniconda3/envs/siamese/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 85, in parallel_apply
output.reraise()
File "/home/avltree/miniconda3/envs/siamese/lib/python3.6/site-packages/torch/_utils.py", line 369, in reraise
raise self.exc_type(msg)
ValueError: Caught ValueError in replica 0 on device 0.
Original Traceback (most recent call last):
File "/home/avltree/miniconda3/envs/siamese/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 60, in _worker
output = module(*input, *kwargs)
File "/home/avltree/miniconda3/envs/siamese/lib/python3.6/site-packages/torch/nn/modules/module.py", line 547, in call
result = self.forward(input, kwargs)
File "/home/avltree/Projects/Siamese-pytorch/nets/siamese.py", line 29, in forward
x1, x2 = x
ValueError: not enough values to unpack (expected 2, got 1)