Due to torch being published in many different variants with local versions to signify the underlying API, it is hard to integrate into a lockfile-based workflow. This is due to the local versions - +cu111, +cpu, and so on - being considered the "same" package, so you can't resolve two at the same time.
This tool generate multiple lockfiles only for torch and allows you to use a pdm subcommand (pdm torch) to select the one you want.
These are the supported options:
[tool.pdm.plugin.torch]
dependencies = [
"torch==1.10.2"
]
lockfile = "torch.lock"
enable-cpu = true
enable-rocm = true
rocm-versions = ["4.2"]
enable-cuda = true
cuda-versions = ["cu111", "cu113"]PDM supports specifying plugin-dependencies in your pyproject.toml, which is the suggested installation method. Note that in pdm-plugin-torch versions before 23.4.0, our configuration was in tool.pdm.plugins.torch. If upgrading, you'll need to also change that to tool.pdm.plugin.torch.
[tool.pdm]
plugins = ["pdm-plugin-torch==$VERSION"]
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- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)
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