[thangngoc89]

Before CUDA 12.0 you have to specify a field in pyproject.toml like this

    [tool.poetry.dependencies]
    python = ">=3.10,<3.12.0"
    torch = {version = "^2.0.1+cu118", source = "torch118"}
    torchvision = {version = "^0.15.2+cu118", source =     "torch118"}

    [[tool.poetry.source]]
    name = "torch118"
    url = "https://download.pytorch.org/whl/cu118"
    priority = "explicit"

However, since CUDA 12.0 and Pytorch 2.1.0, just install like normal

    poetry add torch torchvision

[maleldil]

I stand corrected. I was familiar with the first option, which coupled the dependencies with the platform, whereas I wanted a CUDA version on Linux and a Metal version on macOS.

However, this works perfectly with Poetry 1.8 and Pytorch 2.2. I suppose the only problem is what PDM also does, where the lock file is platform-dependent. I'm not sure whether Poetry allows you to select a specific lock file, however.