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[Sample] Align preload TFX sample with TFX head #2526

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Nov 1, 2019
Merged

[Sample] Align preload TFX sample with TFX head #2526

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2 changes: 1 addition & 1 deletion samples/contrib/parameterized_tfx_oss/README.md
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Expand Up @@ -11,7 +11,7 @@ Please refer to inline comments for the purpose of each step.
In order to successfully compile this sample, you'll need to have a TFX installation at HEAD.
First, you can clone their repo and run `python setup.py install` from `tfx/`.
The image used in the pipeline is specified as `tfx_image` in the
`KubeflowDagRunnerConfig`. Currently we're using our own patched version of TFX image containing visualization support.
`KubeflowDagRunnerConfig`. Please make sure you use the latest TFX build so that visualization support is included.
List of officially released nightly build image available can be found [here](https://hub.docker.com/r/tensorflow/tfx/tags)).

After that, running
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2 changes: 1 addition & 1 deletion samples/contrib/parameterized_tfx_oss/parameterized_tfx_oss.py
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Expand Up @@ -131,7 +131,7 @@ def _create_test_pipeline(pipeline_root: Text, csv_input_location: Text,
enable_cache=enable_cache)
config = kubeflow_dag_runner.KubeflowDagRunnerConfig(
kubeflow_metadata_config=kubeflow_dag_runner.get_default_kubeflow_metadata_config(),
tfx_image='gcr.io/ml-pipeline/patched-tfx:0.1.32')
tfx_image='tensorflow/tfx:0.16.0.dev20191101')
kfp_runner = kubeflow_dag_runner.KubeflowDagRunner(config=config)
# Make sure kfp_runner recognizes those parameters.
kfp_runner._params.extend([_data_root_param, _taxi_module_file_param])
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