Comments (1)
sniklaus
commented on June 30, 2024
You need to make sure that PyTorch uses the same CUDA toolkit version as CuPy as well as your system. You can check the CUDA version installed on your system with nvcc --version, for PyTorch you can do print(torch.version.cuda) and for CuPy you can do cupy.show_config().
from pytorch-pwc.
Related Issues (20)
- Can it test in CPU device? HOT 1
- Cannot inspect the model using TensorBoard HOT 4
- Generalization to unseen data HOT 1
- how to compute optical flow for small size imgs? HOT 1
- what is the range of optical flow value in an image? HOT 1
- About the direction of estimated flow HOT 2
- About pwc-net pretrained model in pytorch version HOT 1
- Just want to confirm if my analysis of your commit 5f4d7de is correct HOT 7
- In run.py, self.netSix has out_channels = 196. Paper says 192. HOT 1
- Receiving a random error, CUDA_ERROR_ILLEGAL_ADDRESS HOT 9
- CuPy correlation layer error HOT 4
- What is the purpose of `tenMask` in `run.backwarp`? HOT 2
- the two same images HOT 4
- I already did what @fabiopk said but I am still getting this error HOT 2
- How to change the cuda version of correlation.py to the python version HOT 1
- how to import frames of river videos into PWC-Net codes HOT 7
- cupy issue HOT 1
- Normalization in `backward` function. HOT 1
- Deprecation of cupy.cuda.compile_with_cache() in cupy 13.0 HOT 3
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from pytorch-pwc.