Janis Robens

I am doing some tests with the new ML volume upres node in H21 and weirdly choosing Direct ML as the execution provider is a lot faster than CUDA. I verified that Houdini actually uses CUDA Toolkit 12.8 using:

import os
print(os.environ.get("CUDA_PATH"))
print(os.environ.get("PATH"))


My cuDNN version is 9.13 and it's also on my PATH environment variable. My understanding is that CUDA should be the fastest option but it's in fact 3-5x slower than Direct ML.

Any ideas what could be going wrong here?

H21 is built around QT6, which uses Pyside6. You can either specifically instal a QT5 version of Houdini or try to replace all includes of Pyside2 with Pyside6. That's not guarantee to work as quite a few other things have also changed in QT6.

Worked like a charm with Houdini 20.5 Thanks!