8000 Consolidate model / Half precision support by rafaelperez · Pull Request #9 · rafaelperez/RIFE-for-Nuke · GitHub
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Consolidate model / Half precision support #9

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Merged
merged 12 commits into from
Mar 1, 2024
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We have consolidated all the .cat models that were previously split for Nuke 13/14/15 versions into a single .cat model, now created from PyTorch 1.06.

The Gizmo has also been updated to ensure it works properly in Nuke 13, with additional support for half precision to reduce memory requirements.

This module is only required for training the model,
and is not used in the inference pipeline.
We are consolidating all the .pt and .cat files into one file each,
compatible with Nuke 13, 14 and 15 simultaneously.
In Nuke 14.0, GPU processing of STMaps is causing a memory leak,
exhausting GPU memory after a few frames.

Switching STMap processing to the CPU has a minor performance impact
but allows much longer sequences to be processed.
@rafaelperez rafaelperez self-assigned this Mar 1, 2024
@rafaelperez rafaelperez merged commit 85146db into main Mar 1, 2024
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