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HolyWu / vs-rife

RIFE function for VapourSynth
MIT License
103 stars 8 forks source link

How to get Torch 2.5.0.dev and TensorRT 2.5.0.ev #53

Closed Selur closed 4 months ago

Selur commented 4 months ago

I'm trying to updated to the latest version using:

F:\Hybrid\64bit\Vapoursynth>python -m pip install --pre torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124
Looking in indexes: https://download.pytorch.org/whl/nightly/cu124
Requirement already satisfied: torch_tensorrt in f:\hybrid\64bit\vapoursynth\lib\site-packages (2.4.0.dev20240518+cu121)
Requirement already satisfied: torch<2.5.0,>=2.4.0.dev in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (2.4.0.dev20240523+cu121)
Requirement already satisfied: tensorrt<10.1.0,>=10.0.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (10.0.1)
Requirement already satisfied: packaging>=23 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (24.0)
Requirement already satisfied: numpy in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (1.26.4)
Requirement already satisfied: typing-extensions>=4.7.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (4.12.0)
Requirement already satisfied: tensorrt-cu12 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from tensorrt<10.1.0,>=10.0.1->torch_tensorrt) (10.0.1)
Requirement already satisfied: filelock in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (3.14.0)
Requirement already satisfied: sympy in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (1.12)
Requirement already satisfied: networkx in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (3.3)
Requirement already satisfied: jinja2 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (3.1.4)
Requirement already satisfied: fsspec in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (2024.5.0)
Requirement already satisfied: mkl<=2021.4.0,>=2021.1.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (2021.4.0)
Requirement already satisfied: intel-openmp==2021.* in f:\hybrid\64bit\vapoursynth\lib\site-packages (from mkl<=2021.4.0,>=2021.1.1->torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (2021.4.0)
Requirement already satisfied: tbb==2021.* in f:\hybrid\64bit\vapoursynth\lib\site-packages (from mkl<=2021.4.0,>=2021.1.1->torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (2021.12.0)
Requirement already satisfied: MarkupSafe>=2.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from jinja2->torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (2.1.5)
Requirement already satisfied: mpmath>=0.19 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from sympy->torch<2.5.0,>=2.4.0.dev->torch_tensorrt) (1.3.0)

F:\Hybrid\64bit\Vapoursynth>python -m pip install tensorrt==10.0.1 tensorrt-cu12_bindings==10.0.1 tensorrt-cu12_libs==10.0.1 --extra-index-url https://pypi.nvidia.com
Looking in indexes: https://pypi.org/simple, https://pypi.nvidia.com
Requirement already satisfied: tensorrt==10.0.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (10.0.1)
Requirement already satisfied: tensorrt-cu12_bindings==10.0.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (10.0.1)
Requirement already satisfied: tensorrt-cu12_libs==10.0.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (10.0.1)
Requirement already satisfied: tensorrt-cu12 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from tensorrt==10.0.1) (10.0.1)
Requirement already satisfied: nvidia-cuda-runtime-cu12 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from tensorrt-cu12_libs==10.0.1) (12.5.39)

F:\Hybrid\64bit\Vapoursynth>python -m pip install -U vsrife==5.2.0
Collecting vsrife==5.2.0
  Using cached vsrife-5.2.0-py3-none-any.whl.metadata (1.8 kB)
Requirement already satisfied: numpy in f:\hybrid\64bit\vapoursynth\lib\site-packages (from vsrife==5.2.0) (1.26.4)
Requirement already satisfied: requests in f:\hybrid\64bit\vapoursynth\lib\site-packages (from vsrife==5.2.0) (2.32.2)
INFO: pip is looking at multiple versions of vsrife to determine which version is compatible with other requirements. This could take a while.
ERROR: Could not find a version that satisfies the requirement torch>=2.5.0.dev (from vsrife) (from versions: 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1)
ERROR: No matching distribution found for torch>=2.5.0.dev

using the calls from the README.md, but I only get Torch 2.4.0.dev and TensorRT 2.4.0.dev and thus can't install vsrife 5.2.0. Any advice how to get this working?

HolyWu commented 4 months ago

When you already have a package installed and you want to upgrade it, you have to manually append -U or --upgrade in pip.

Selur commented 4 months ago

Thanks! Hopefully this does not break other stuff. :)