Error running with rtx3080 graphics card
See original GitHub issueRuntimeError: cuDNN error:CUDNN_STATUS_MAPPING_ERROR
Rtx3080
cuda:10.0
pytorch:1.0.0
cudnn:7.3.5
`Traceback (most recent call last):
File “./tools/train.py”, line 256, in <module>
main()
File “./tools/train.py”, line 154, in main
pred_r, pred_t, pred_c, emb = estimator(img, points, choose, idx)
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/xsy/Object-RPE-master/DenseFusion/lib/network.py”, line 96, in forward
out_img = self.cnn(img)
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/xsy/Object-RPE-master/DenseFusion/lib/network.py”, line 36, in forward
x = self.model(x)
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/parallel/data_parallel.py”, line 141, in forward
return self.module(*inputs[0], **kwargs[0])
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/xsy/Object-RPE-master/DenseFusion/lib/pspnet.py”, line 65, in forward
f, class_f = self.feats(x)
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/xsy/Object-RPE-master/DenseFusion/lib/extractors.py”, line 115, in forward
x = self.conv1(x)
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/xsy/anaconda3/envs/pytorch1.0/lib/python3.5/site-packages/torch/nn/modules/conv.py”, line 320, in forward
self.padding, self.dilation, self.groups)
Is that the reason for my graphics card? I tried to install cuda11 1,pytorch1. 8,cudnn8. 0.5, but it will appear RuntimeError: Legacy autograd function with non-static forward method is deprecated. Please use new-style autograd function with static forward method… How to solve this problem?
Issue Analytics
- State:
- Created 2 years ago
- Comments:16
Top GitHub Comments
This is a link to the method I used to make the datasets. https://github.com/F2Wang/ObjectDatasetTools @jc0725
RTX 3090 also has the same problem…