🔦 pdm-plugin-torch

A utility tool for selecting torch backend and version through PDM.

Development

Install PDM following the instructions on the PDM site. Then install the package using

pdm install -d

Motivation

Pytorch supports multiple variants of hardware and compute backends. Due to how Python versioning works and how Pytorch publishes their packages; it is impossible to use all of these as dependencies, optional or not. We still wanted to make it easy and quick to install this package, and develop it.

This package plugins in to PDM to add support for managing multiple torch versions as separate lockfiles. These are currently resolved independently of your main dependencies, so we suggest keeping a torch version in an optional dependency to ensure shared transitive dependencies are locked.

Usage

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"]

It is also suggested to use a post_lock hook to update the lockfile when a regular lock is made:

[tool.pdm.scripts]
post_lock = "pdm torch lock"

Configuration

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"]

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