Comments (2)
@a2jinhee It seems that the nms package is not successfully compiled for calling. Could you double-check its setup process, especially the corresponding cuda issues mentioned in the installation doc?
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@ilnehc Our version - Cuda : 11.6, torch : 13.1
Yes, as shown in the INSTALL.md :
Known Issues
- If you couldn't compile the
nms
operator because of error likenvcc fatal : Unsupported gpu architecture 'compute_86'
, try specifying your cuda path to some environment variable. Following is an example for cuda-11.4export LIBRARY_PATH=/usr/local/cuda-11.4/lib64/:$LIBRARY_PATH export LD_LIBRARY_PATH=/usr/local/cuda-11.4/lib64/:$LD_LIBRARY_PATH export PATH=/usr/local/cuda-11.4/bin/:$PATH export CUDA_HOME=/usr/local/cuda-11.4/
We did this in our terminal!
In short,
- We tried with CUDA 11.6 but it did not work and showed module not callable error
- We tried the method in INSTALLATION.md but showed same error.
3)We also switched to CUDA 11.4 and CUDA 11.1 with pytorch version 1.13.1 and did it again, but it did not work.
Can you elaborate on the INSTALLATION.md method a little bit more? Or is there a way to go around this problem?
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Related Issues (20)
- Could you please share more details about how the newest result in TRAIN_VAL.md is trained? HOT 3
- Will apollo dataset pretrained model release?
- ZeroDivisionError: Weights sum to zero, can't be normalized HOT 2
- Some question about the results of x_far,x_close,z_far,z_close? HOT 1
- 加载EfficientNet模型报错“unexpected EOF”
- visualization HOT 2
- JSON file Error
- Single Inference HOT 1
- Unable to replicate the performance of GenLaneNet and 3DLaneNet on the openlane dataset based on your framework.
- sheared feature mapping
- 分布训练
- 关于类别数问题 HOT 3
- 不使用分布式训练
- UnboundLocalError: local variable '_label_cam_height' referenced before assignment HOT 1
- apollo dataset pretrained model
- Some questions on code
- how to derive H_g2cam?
- 推理其他数据集发生错误
- Lane Detection Results
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