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"]

We welcome community contributions to this project.

Please read our Contributor Guide for more information on how to get started. Please also read our Contributor Terms before you make any contributions.

Any contribution intentionally submitted for inclusion in an Embark Studios project, shall comply with the Rust standard licensing model (MIT OR Apache 2.0) and therefore be dual licensed as described below, without any additional terms or conditions:

This contribution is dual licensed under EITHER OF

• Apache License, Version 2.0, (LICENSE-APACHE or https://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or https://opensource.org/licenses/MIT)

at your option.

For clarity, "your" refers to Embark or any other licensee/user of the contribution.