在ubuntu14.04系统上，我使用带有cudnn的pytorch时遇到了问题。具体问题如下：
Traceback (most recent call last):
File "main.py", line 58, in <module>
test_detect(test_loader, nod_net, get_pbb, bbox_result_path,config1,n_gpu=config_submit['n_gpu'])
File "/home/ubuntu/nndl/DSB2017/test_detect.py", line 52, in test_detect
output = net(input,inputcoord)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 252, in __call__
result = self.forward(*input, **kwargs)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/parallel/data_parallel.py", line 58, in forward
return self.module(*inputs[0], **kwargs[0])
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 252, in __call__
result = self.forward(*input, **kwargs)
File "/home/ubuntu/nndl/DSB2017/net_detector.py", line 102, in forward
out = self.preBlock(x)#16
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 252, in __call__
result = self.forward(*input, **kwargs)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/modules/container.py", line 67, in forward
input = module(input)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/modules/module.py", line 252, in __call__
result = self.forward(*input, **kwargs)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/modules/conv.py", line 351, in forward
self.padding, self.dilation, self.groups)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/torch/nn/functional.py", line 119, in conv3d
return f(input, weight, bias)
RuntimeError: CUDNN_STATUS_INTERNAL_ERROR
我已经谷歌搜索了几个小时，但仍然感到非常困惑。是什么导致了这种情况？