mirror of https://github.com/kubeflow/examples.git
e15bfffca4
* An Argo workflow to use as the E2E test for code_search example. * The workflow builds the Docker images and then runs the python test to train and export a model * Move common utilities into util.libsonnet. * Add the workflow to the set of triggered workflows. * Update the test environment used by the test ksonnet app; we've since changed the location of the app. Related to #295 * Refactor the jsonnet file defining the GCB build workflow * Use an external variable to conditionally pull and use a previous Docker image as a cache * Reduce code duplication by building a shared template for all the different workflows. * BUILD_ID needs to be defined in the default parameters otherwise we get an error when adding a new environment. * Define suitable defaults. |
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| .. | ||
| Dockerfile | ||
| Dockerfile.dataflow | ||
| README.md | ||
| build.jsonnet | ||
| run_and_wait.sh | ||
| t2t-entrypoint.sh | ||
README.md
To build the docker images use the Makefile at the root of the code_search tree.