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shrinath-suresh 6219a16901
chore(components/pytorch): pytorch-kfp-components setup.py update (#6360) 
Signed-off-by: Shrinath Suresh <shrinath@ideas2it.com>
 		2021-08-16 21:55:41 -07:00
..
pytorch_kfp_components chore(components/pytorch): pytorch-kfp-components version update (#6175) 2021-07-27 20:54:44 -07:00
templates chore(components/pytorch): Add sqlalchemy pacakge to ax (#6340) 2021-08-15 21:44:05 -07:00
tests chore(components/pytorch): Samples Unit tests and lint fixes (#6288) 2021-08-11 22:59:02 -07:00
.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
OWNERS chore: Add OWNERS for PyTorch KFP Components (#5827) 2021-06-09 20:54:51 -07:00
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