K8s Custom Resource and Operator For TensorFlow jobs

Quick Links

TFJob provides a Kubernetes custom resource that makes it easy to run distributed or non-distributed TensorFlow jobs on Kubernetes.

Please refer to the user guide for more information.

Please refer to the developer_guide

Please refer to CHANGELOG

Please refer to adopters list.

This is a part of Kubeflow, so please see readme in kubeflow/kubeflow to get in touch with the community.

Name		Name	Last commit message	Last commit date
Latest commit History 628 Commits
.github		.github
build/images/tf_operator		build/images/tf_operator
cmd/tf-operator.v1		cmd/tf-operator.v1
docs		docs
examples		examples
hack		hack
pkg		pkg
py/kubeflow		py/kubeflow
sdk/python		sdk/python
test		test
third_party/library		third_party/library
third_party_licenses		third_party_licenses
vendor		vendor
.gcloudignore		.gcloudignore
.gitignore		.gitignore
.pylintrc		.pylintrc
.style.yapf		.style.yapf
.travis.yml		.travis.yml
CHANGELOG.md		CHANGELOG.md
LICENSE		LICENSE
OWNERS		OWNERS
README.md		README.md
developer_guide.md		developer_guide.md
e2e_testing.md		e2e_testing.md
go.mod		go.mod
go.sum		go.sum
prow_config.yaml		prow_config.yaml
releasing.md		releasing.md
submit_release_job.sh		submit_release_job.sh
tf_job_design_doc.md		tf_job_design_doc.md
vendor.go		vendor.go