mirror of https://github.com/kubeflow/examples.git
1 Commits
Author | SHA1 | Message | Date |
---|---|---|---|
|
a402db1ccc |
E2E Pytorch mnist example (#274)
* Add Pytorch MNIST example * Fix link to Pytorch NMIST example * Fix indentation in README * Fix lint errors * Fix lint errors Add prediction proto files * Add build_image.sh script to build image and push to gcr.io * Add pytorch-mnist-webui-release release through automatic ksonnet package * Fix lint errors * Add pytorch-mnist-webui-release release through automatic ksonnet package * Add PB2 autogenerated files to ignore with Pylint * Fix lint errors * Add official Pytorch DDP examples to ignore with Pylint * Fix lint errors * Update component to web-ui release * Update mount point to kubeflow-gcfs as the example is GCP specific * 01_setup_a_kubeflow_cluster document complete * Test release job while PR is WIP * Reduce workflow name to avoid Argo error: "must be no more than 63 characters" * Fix extra_repos to pull worker image * Fix testing_image using kubeflow-ci rather than kubeflow-releasing * Fix extra_repo, only needs kubeflow/testing * Set build_image.sh executable * Update build_image.sh from CentralDashboard component * Remove old reference to centraldashboard in echo message * Build Pytorch serving image using Python Docker Seldon wrapper rather than s2i: https://github.com/SeldonIO/seldon-core/blob/master/docs/wrappers/python-docker.md * Build Pytorch serving image using Python Docker Seldon wrapper rather than s2i: https://github.com/SeldonIO/seldon-core/blob/master/docs/wrappers/python-docker.md * Add releases for the training and serving images * Add releases for the training and serving images * Fix testing_image using kubeflow-ci rather than kubeflow-releasing * Fix path to Seldon-wrapper build_image.sh * Fix image name in ksonnet parameter * Add 02 distributed training documentation * Add 03 serving the model documentation Update shared persistent reference in 02 distributed training documentation * Add 05 teardown documentation * Add section to test the model is deployed correctly in 03 serving the model * Add 04 querying the model documentation * Fix ks-app to ks_app * Set prow jobs back to postsubmit * Set prow jobs to trigger presubmit to kubeflow-ci and postsubmit to kubeflow-images-public * Change to kubeflow-ci project * Increase timeout limit during image build to compile Pytorch * Increase timeout limit during image build to compile Pytorch * Change build machine type to compile Pytorch for training image * Change build machine type to compile Pytorch for training image * Add OWNERS file to Pytorch example * Fix typo in documentation * Remove checking docker daemon as we are using gcloud build instead * Use logging module rather print() * Remove empty file, replace with .gitignore to keep tmp folder * Add ksonnet application to deploy model server and web-ui Delete model server JSON manifest * Refactor ks-app to ks_app * Parametrise serving_model ksonnet component Default web-ui to use ambassador route to seldon Remove form section in web-ui * Remove default environment from ksonnet application * Update documentation to use ksonnet application * Fix component name in documentation * Consolidate Pytorch train module and build_image.sh script * Consolidate Pytorch train module * Consolidate Pytorch train module * Consolidate Pytorch train module and build_image.sh script * Revert back build_image.sh scripts * Remove duplicates * Consolidate train Dockerflies and build_image.sh script using docker build rather than gcloud * Fix docker build command * Fix docker build command * Fix image name for cpu and gpu train * Consolidate Pytorch train module * Consolidate train Dockerflies and build_image.sh script using docker build rather than gcloud |