=== RIFE / PyTorch+TensorRT installation ===
DO NOT DO THIS!
You DON'T NEED IT!
I'm SERIOUS! 
============
!!! Advanced users only, if you don't know what this is all about - you don't need it !!!
0. Update SVP via online updater (this will update Python to ver. 3.10.9)
1. Dependencies installation:
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Download TensorRT libs: https://github.com/HolyWu/vs-rife/relea … 2_win64.7z
unpack CUDA-blah-blah.7z to SVP 4\mpv64
run cmd as Administrator
cd SVP 4\mpv64
python get-pip.py
python -m pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu117
python -m pip install tensorrt-8.5.2.2-cp310-none-win_amd64.whl
python -m pip install torch-tensorrt-fx-only tqdm
python -m pip install -U --no-deps vsrife
python -m vsrife
A quick fix for vsrife's "slowmo" bug: replace __init__.py in SVP 4\mpv64\Lib\site-packages\vsrife\
2. SVP modification
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Replace SVP 4\script\generate.js and base.py with the attached ones
menu -> Applications settings -> Additional options -> All settings, go to 'User defined options'
Title: TensortRT; Script name: rife_trt; Other values by default - "FRC profile", "ON or OFF"
Click 'Add option'
Go to the RIFE video profile, see the added TensortRT on/off swtich.
Make a copy of the RIFE video profile, one with TensorRT ON and another with OFF.
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For a given video resolution the first-time start is super-slow (while it generates TRT net in a cache folder --> %APPDATA%\SVP4\cache\trt), so better do it in a "transcoding" mode.
