TensorFlow Extended: Machine Learning Pipelines and Model Understanding (Google I/O’19)

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1) Does anyone know of where someone might find an example repo showing functioning code of all TFX components? Maybe along the lines of a github repo or smth? E.g using example_gen, statistics_gen, etc.

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2) In terms of deployment, is there anything to specifically look out for (esp with Tf2.0)? E.g eager mode doesn’t work like graph mode in production or keras estimators might be faster or slower than a low-level op estimator? Would really appreciate some guidance. Didn’t exactly find a central place