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Error running with rtx3080 graphics card

See original GitHub issue

RuntimeError: 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:open
  • Created 2 years ago
  • Comments:16

github_iconTop GitHub Comments

1reaction
Xushuangyincommented, Apr 15, 2022

This is a link to the method I used to make the datasets. https://github.com/F2Wang/ObjectDatasetTools @jc0725

0reactions
wangqingyu985commented, Sep 20, 2022

RTX 3090 also has the same problem…

Read more comments on GitHub >

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