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PipelineStepRunner prioritization, configuration and default priority #433

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AlexDBlack opened this issue Jul 2, 2020 · 0 comments

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AlexDBlack commented Jul 2, 2020

Consider the case where we have a single pipeline step that can be executed by multiple runners.

For example, running Keras models via DL4J Keras import or via the official Tensorflow library.
Some questions:

When we launch our pipeline with a Keras step, which should be used by default?
How do we (as library implementers) define which is the default, and what the order should be?
How can I (as a user) configure my pipeline to run using the non-default implementation?
How can we implement 'fall-back" to the non-default implementation if the default one can't be run (due to, for example, no native binary for the target platform)?

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