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
  • Ray (prototype)

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 torchx sdk and CLI -- all dependencies
pip install "torchx[dev]"

# install torchx kubeflow pipelines (kfp) support
pip install "torchx[kfp]"

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

# install torchx Ray support
pip install "torchx[ray]"

Nightly

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

Source

# install torchx sdk and CLI from source
$ pip install -e git+https://github.com/pytorch/torchx.git#egg=torchx

# install extra dependencies
$ pip install -e git+https://github.com/pytorch/torchx.git#egg=torchx[dev]

Docker

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

See: https://github.com/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

torchx_nightly-2022.12.25-py3-none-any.whl (210.0 kB view details)

Uploaded Python 3

File details

Details for the file torchx_nightly-2022.12.25-py3-none-any.whl.

File metadata

File hashes

Hashes for torchx_nightly-2022.12.25-py3-none-any.whl
Algorithm Hash digest
SHA256 579818d5f305b2e20e79ec49f44385005e84bf73d3bfa388b6424dd016db5abe
MD5 0f31c8c4d13fcf79b53a78ceb53d7110
BLAKE2b-256 6c2035ed67df263773c8cf97f9e51894bd61ab8f4b5fd99a4a6079efe71d88c1

See more details on using hashes here.

Provenance

Supported by

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