Comments (4)
Hello,
Public source codes can now only be run in the CUDA environment. However, you can get it running in a CPU environment with a few simple steps:
Train the model on the cpu environment:
- Download torch for cpu.
- Remove action to convert
Tensor
orModule
intocuda.Tensor
orcuda.Module
- Use python (instead of cuda) based CD metrics. For example https://github.com/ThibaultGROUEIX/ChamferDistancePytorch/blob/master/chamfer_python.py#L31
(I don't recommend you to train the model on CPU because the training time is too long)
To evaluate the model in the cpu environment:
- Download torch for cpu.
- Remove action to convert
Tensor
orModule
intocuda.Tensor
orcuda.Module
- No installation for CD required. (comment out the code that computes the CD in the inference phase)
Best regards!
from pointr.
Many thanks! I will try the python CD metrics for offserver debugging.
from pointr.
Close it since no response. Feel free to re-open it if problems still exist
from pointr.
hi, my GPU have enough memory, but why i meet this eror:cannot allocate memory? thank you for your reply
from pointr.
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from pointr.