[BUG] Only support subm mode?
matri123 opened this issue · comments
Is there an existing issue for this?
- I have searched the existing issues
Current Behavior
In rule_book generation process, only has subm mode's rule_book. so, it doesn't have normal mode?
And in spconv process, only subm rule_book can be used? or, normal rule_book also works?
Expected Behavior
No response
Environment
- GCC:
- NVCC:
- PyTorch:
- PyTorch CUDA:
- TorchSparse:Anything else?
No response
@ys-2020, could you please take a look at this issue when you have time? Thanks!
Hi @matri123 , a normal convolution mode is supported in our framework. Could you further clarify which part makes you confused? Maybe with a link to the doc or a sample code. Thanks
https://github.com/mit-han-lab/torchsparse/blob/master/torchsparse/nn/functional/build_kmap.py#L32
https://github.com/mit-han-lab/torchsparse/blob/master/torchsparse/nn/functional/build_kmap.py#L54
Only has subm and downsample, and doesn't has normal mode.
Hi. In subm mode, the input feature map will not be downsampled. (The output resolution and point coordinates will be kept the same as input.) I guess this might be the normal mode you want?
Close this issue as complete. If you have further questions, feel free to reopen it.