Add a top-level Dockerfile to create a custom tfx image that includes tfx-addons
cfezequiel opened this issue · comments
Carlos Ezequiel commented
The custom tfx image would include a dev version of tfx-addons for integration testing using Vertex AI Pipelines.
Example:
runner = tfx.orchestration.experimental.KubeflowV2DagRunner(
config=tfx.orchestration.experimental.KubeflowV2DagRunnerConfig(
default_image=_CUSTOM_TFX_IMAGE),
output_filename=pipeline.json)
This was suggested by @casassg in #230, where a similar Dockerfile exists to test the predictions-to-bigquery component. #230 (comment)