Skip to main content

TorchX SDK and Components

Project description

PyPI License Tests Lint codecov

TorchX

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

TorchX currently supports:

  • Kubernetes (EKS, GKE, AKS, etc)
  • Slurm
  • AWS Batch
  • Docker
  • Local

Need a scheduler not listed? Let us know!

Quickstart

See the quickstart guide.

Documentation

Requirements

torchx:

  • python3 (3.8+)
  • PyTorch
  • optional: Docker (needed for docker based schedulers)

Certain schedulers may require scheduler specific requirements. See installation for info.

Installation

Stable

# install torchx sdk and CLI -- minimum dependencies
pip install torchx

# install with all dependencies
pip install "torchx[dev]"

# install torchx Kubernetes / Volcano support
pip install "torchx[kubernetes]"

# install torchx GCP Batch support
pip install "torchx[gcp_batch]"

Nightly

# install torchx sdk and CLI
pip install torchx-nightly[dev]

Source (Development)

# clone the repo
git clone https://github.com/meta-pytorch/torchx.git
cd torchx

# install with uv (recommended for development)
uv sync --extra dev

# or with pip
pip install -e ".[dev]"

Docker

TorchX provides a docker container for using as as part of a TorchX role.

See: https://github.com/meta-pytorch/torchx/pkgs/container/torchx

Contributing

We welcome PRs! See the CONTRIBUTING file.

License

TorchX is BSD licensed, as found in the LICENSE file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

torchx_nightly-2026.7.15-py3-none-any.whl (240.0 kB view details)

Uploaded Python 3

File details

Details for the file torchx_nightly-2026.7.15-py3-none-any.whl.

File metadata

File hashes

Hashes for torchx_nightly-2026.7.15-py3-none-any.whl
Algorithm Hash digest
SHA256 7d5ac847272d82db8aab3f2f73da51b6b5cb2f61f2821fec7d6707f18bf3d8cd
MD5 9f6ba5675528718eceb6b96e230f3b8d
BLAKE2b-256 84b1f2a2b23163239c048019b6f0c3627755d1b747ba225af0b39e23ee7af27b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page