mirror of https://github.com/open-mmlab/mmcv.git
43 lines
2.3 KiB
Markdown
43 lines
2.3 KiB
Markdown
|
## Frequently Asked Questions
|
||
|
|
||
|
|
We list some common troubles faced by many users and their corresponding solutions here.
|
||
|
|
Feel free to enrich the list if you find any frequent issues and have ways to help others to solve them.
|
||
|
|
|
||
|
|
- Compatibility issue between MMCV and MMDetection; "ConvWS is already registered in conv layer"
|
||
|
|
|
||
|
|
Please install the correct version of MMCV for the version of your MMDetection following the instruction above.
|
||
|
|
|
||
|
|
- "No module named 'mmcv.ops'"; "No module named 'mmcv._ext'".
|
||
|
|
|
||
|
|
1. Uninstall existing mmcv in the environment using `pip uninstall mmcv`.
|
||
|
|
2. Install mmcv-full following the instruction above.
|
||
|
|
|
||
|
|
- "invalid device function" or "no kernel image is available for execution".
|
||
|
|
|
||
|
|
1. Check the CUDA compute capability of you GPU.
|
||
|
|
2. Run `python mmdet/utils/collect_env.py` to check whether PyTorch, torchvision,
|
||
|
|
and MMCV are built for the correct GPU architecture.
|
||
|
|
You may need to set `TORCH_CUDA_ARCH_LIST` to reinstall MMCV.
|
||
|
|
The compatibility issue could happen when using old GPUS, e.g., Tesla K80 (3.7) on colab.
|
||
|
|
3. Check whether the running environment is the same as that when mmcv/mmdet is compiled.
|
||
|
|
For example, you may compile mmcv using CUDA 10.0 bug run it on CUDA9.0 environments.
|
||
|
|
|
||
|
|
- "undefined symbol" or "cannot open xxx.so".
|
||
|
|
|
||
|
|
1. If those symbols are CUDA/C++ symbols (e.g., libcudart.so or GLIBCXX), check
|
||
|
|
whether the CUDA/GCC runtimes are the same as those used for compiling mmcv.
|
||
|
|
2. If those symbols are Pytorch symbols (e.g., symbols containing caffe, aten, and TH), check whether
|
||
|
|
the Pytorch version is the same as that used for compiling mmcv.
|
||
|
|
3. Run `python mmdet/utils/collect_env.py` to check whether PyTorch, torchvision,
|
||
|
|
and MMCV are built by and running on the same environment.
|
||
|
|
|
||
|
|
- "RuntimeError: CUDA error: invalid configuration argument".
|
||
|
|
|
||
|
|
This error may be due to your poor GPU. Try to decrease the value of [THREADS_PER_BLOCK](https://github.com/open-mmlab/mmcv/blob/cac22f8cf5a904477e3b5461b1cc36856c2793da/mmcv/ops/csrc/common_cuda_helper.hpp#L10)
|
||
|
|
and recompile mmcv.
|
||
|
|
||
|
|
- "RuntimeError: nms is not compiled with GPU support".
|
||
|
|
|
||
|
|
This error is because your CUDA environment is not installed correctly.
|
||
|
|
You may try to re-install your CUDA environment and then delete the build/ folder before re-compile mmcv.
|