Comments (4)
Dear Minorway,
Thank you for reporting the issue that you encountered. New versions of PyTorch do sometimes cause problems. I have just updated to the most recent version (1.10.1) and Deepwave still worked on the test that I ran. Do you have an example code that causes this error?
from deepwave.
Dear Minorway,
Thank you for reporting the issue that you encountered. New versions of PyTorch do sometimes cause problems. I have just updated to the most recent version (1.10.1) and Deepwave still worked on the test that I ran. Do you have an example code that causes this error?
Woo, so happy! I have solved this issue. I found that there were no deepwave packages available under pytorch with cuda. The only one can be installed was without wavelets.py etc . When I created a new environment(pytorch-cpu), it works.
from deepwave.
That's great news, and I'm happy that you are happy. But does this mean that you have a CUDA-capable GPU but are not able to use Deepwave on it? It is much faster on a GPU, so it is worth the effort of trying to get it to work. I only tested with the new PyTorch version on a CPU so far. I will test it now on a GPU to see if I encounter a problem.
from deepwave.
I installed and tested Deepwave on a Colaboratory GPU instance (with PyTorch 1.10) and it also ran without errors, so hopefully what you experienced is not a widespread problem. Do you wish to continue trying to diagnose the problem, or are you happy with your current Deepwave installation?
from deepwave.
Related Issues (20)
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- looked at the source code HOT 7
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- Elastic FWI parameterization (Impedance) HOT 1
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from deepwave.