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Hello @saikat-roy, thank you for open sourcing this work!
I am currently trying to reproduce it on my side, however, using the same conditions as in your supplementary material (i.e.: batch size= 2, patch 128x128x128 and 250 it/epochs wit the Small (S) model and k5 kernel, i get a 200 sec/ epoch runtime, different from your 117 secs.
I have eliminated the other options, so I am now left with setup differences.
Could you give us the setup you used ( GPU, pytorch version..) to train your model ?
Regards
Zach
The text was updated successfully, but these errors were encountered:
Hey @Zhack47. My first thought is that maybe I used a Tesla A100 40GB for baselining the S model without any checkpointing, and that your GPU is different. If that doesn't help, I can share my remaining setup.
Hello @saikat-roy, thank you for open sourcing this work!
I am currently trying to reproduce it on my side, however, using the same conditions as in your supplementary material (i.e.: batch size= 2, patch 128x128x128 and 250 it/epochs wit the Small (S) model and k5 kernel, i get a 200 sec/ epoch runtime, different from your 117 secs.
I have eliminated the other options, so I am now left with setup differences.
Could you give us the setup you used ( GPU, pytorch version..) to train your model ?
Regards
Zach
The text was updated successfully, but these errors were encountered: