kubeflow
/
pipelines
mirror of https://github.com/kubeflow/pipelines.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
pipelines/components/PyTorch/pytorch-kfp-components
History
Humair Khan 24782d178d
chore: update all owners files (#11886) 
Various owners' files reviewers/approvers are no longer involved with
the community. Additionaly, we have various other folks that are
involved and have shown an active interest in reviewing various portions
of the code base. This change updates all owners files to reflect this
current state of the community.

Signed-off-by: Humair Khan <HumairAK@users.noreply.github.com>
 		2025-05-02 14:47:04 +00:00
..
pytorch_kfp_components chore(components/pytorch):kserve migration (#7615) 2022-07-08 08:55:52 +00:00
templates chore(components/pytorch):kserve migration (#7615) 2022-07-08 08:55:52 +00:00
tests chore(components/pytorch):kserve migration (#7615) 2022-07-08 08:55:52 +00:00
.gitignore feat(components): Adding Trainer component for PyTorch - KFP (#5767) 2021-06-08 12:12:56 +08:00
.pylintrc feat(components): Adding Trainer component for PyTorch - KFP (#5767) 2021-06-08 12:12:56 +08:00
LICENSE feat(components): Adding Trainer component for PyTorch - KFP (#5767) 2021-06-08 12:12:56 +08:00
README.md chore(components/pytorch): pytorch-kfp-components unit test fixes (#6064) 2021-07-16 01:38:38 -07:00
pyproject.toml feat(components): Adding Trainer component for PyTorch - KFP (#5767) 2021-06-08 12:12:56 +08:00
setup.cfg chore(components/pytorch): pytorch-kfp-components version update (#6175) 2021-07-27 20:54:44 -07:00
setup.py chore(components/pytorch): pytorch-kfp-components setup.py update (#6360) 2021-08-16 21:55:41 -07:00
tox.ini chore(components/pytorch): pytorch samples build fixes (#6338) 2021-08-15 22:06:05 -07:00

README.md

PyTorch Kubeflow Pipeline Components

PyTorch Kubeflow Pipeline Components provides an SDK and a set of components that lets you build kubeflow pipelines using PyTorch. You can use the predefined components in this repository to build your pipeline using the Kubeflow Pipelines SDK.

Installation

Requirements

Python >= 3.6 Kubeflow cluster setuo (on-prem or in any of the Clouds)

Install latest release

Use the following command to install PyTorch Pipeline Components from PyPI.

pip install -U pytorch-kfp-components

Install from source

Use the following commands to install PyTorch Kubeflow Pipeline Components from GitHub.

git clone https://github.com/kubeflow/pipelines.git
pip install pipelines/components/PyTorch/pytorch_kfp_components/.

Running the tests

Run the following command

pip install tox
cd ./components/PyTorch/pytorch-kfp-components/
tox -rvve py38

Samples

For running the samples follow the instruction mentioned as below

Samples README.md