Warning This plugin is unmaintained, and broken due to breaking in upstream APIs. It will not be updated here.
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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- Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
- MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)
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