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-2022.8.5-py3-none-any.whl (181.4 kB view details)

Uploaded Python 3

File details

Details for the file torchx_nightly-2022.8.5-py3-none-any.whl.

File metadata

File hashes

Hashes for torchx_nightly-2022.8.5-py3-none-any.whl
Algorithm Hash digest
SHA256 97bc943b4f81ebe7136a3bf2e337e7fe15fe29e3d5a39d679c2c152a5784f757
MD5 4eef9e81d378ef54b7ea2a8409f9e904
BLAKE2b-256 c90dbddbba32c07f720e278ef587d80b84266d5bbf3bd7e0a70fdd0ac2a2b1cb

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