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Using AutoTabPFNClassifier with a Cuda device (RTX 3090, 24GB) works ok as long as the tuning time remains short (~<=300).
increasing it to 500-1000 Sec fails with a core dump, loading it in gdb:
Program terminated with signal SIGSEGV, Segmentation fault.
#0 0x00007fbc1c6e58d6 in c10::cuda::CUDACachingAllocator::Native::DeviceCachingAllocator::malloc(signed char, unsigned long, CUstream_st*) ()
Disabling memory optimizations of TabPFN slightly increases max possible tuning time (1000), but it issue still happens with longer tuning times (2000).
The text was updated successfully, but these errors were encountered:
Hey @shaywinter ! Thanks for the report :)
I cannot reproduce this error on my machine. Could you please try running this on CPU with the same input and see if you get a more informative error?
If you can share more about your dataset (ideally the dataset itself if public, otherwise some characteristics) I'll be happy to investigate.
Using AutoTabPFNClassifier with a Cuda device (RTX 3090, 24GB) works ok as long as the tuning time remains short (~<=300).
increasing it to 500-1000 Sec fails with a core dump, loading it in gdb:
Disabling memory optimizations of TabPFN slightly increases max possible tuning time (1000), but it issue still happens with longer tuning times (2000).
The text was updated successfully, but these errors were encountered: