TorchX SDK and Components
Project description
to install fork
pip install torchx-applovin
to update
rm dist/* && && python3.9 setup.py sdist bdist_wheel && twine upload dist/* --verbose
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.
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 Distribution
Built Distribution
Hashes for torchx-applovin-0.6.0.dev10.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b8b4892811f3bc55d8c4279b4cc19b642ff401cd0fc1410504bd5179ecee9322 |
|
MD5 | 0bf2a546ffa031f9fa38c586de8afd7a |
|
BLAKE2b-256 | 6c4b8e96ca4ea82120e70a4d190cb436d9fb97a0de4a7f629a4306368cb27262 |
Hashes for torchx_applovin-0.6.0.dev10-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ae6cf130a554ae611a68fc4f782a640a9340f04d9ceea1879bcb3c9b5372e252 |
|
MD5 | b140b2efbb267838945a214a1b98afab |
|
BLAKE2b-256 | 613dcac1a09f8ae2514cbb8b5b70567f4ebbddf58dceb9d20e20ab292a5817ce |