TorchX SDK and Components
Project description
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)
- GCP Batch (prototype)
Need a scheduler not listed? Let us know!
Quickstart
See the quickstart guide.
Documentation
Requirements
torchx:
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]"
# install torchx GCP Batch support
pip install "torchx[gcp_batch]"
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.
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
Built Distribution
File details
Details for the file torchx_nightly-2023.5.23-py3-none-any.whl.
File metadata
- Download URL: torchx_nightly-2023.5.23-py3-none-any.whl
- Upload date:
- Size: 243.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 342eecccf7fefe05b4cdfffaf92c616a18294280862a8f34b64cf4f737012c3c |
|
| MD5 | 0fa3905d4ad0c4a6f2efdbdb8d8c7e96 |
|
| BLAKE2b-256 | a7f2887c681926296f72563d729e2eff850eab09809e9f13ad666e7aedd63345 |
