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Issue #, if available:
#1462

Description of changes:
This change removes a lot of the "training helpers" associated with TF legacy mode, such as:

  • the option to automatically run TensorBoard locally
  • the parameters training_steps, evaluation_steps, checkpoint_path, and requirements_file, which currently are simply translated into hyperparameters

still left:

  • remove the old serving stuff
  • perhaps take a more aggressive stance on deprecating legacy mode by forcing any framework_version < 1.11 to specify the image URI directly
  • redo all the unit tests
    • related to this - there are a bunch of outdated framework version fixtures (not just for TF) with a TODO comment about getting rid of them

Testing done:
tox --parallel all tests/unit

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@ajaykarpur ajaykarpur self-requested a review May 27, 2020 17:50
"""Handle end-to-end training and deployment of user-provided TensorFlow code."""

__framework_name__ = "tensorflow"
_SCRIPT_MODE_REPO_NAME = "tensorflow-scriptmode"
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Is this repo name used by the DLC images?

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no, it's used only by the TF 1.11-1.13 images. this PR still preserves the image URI stuff for older images, though arguably it could be removed as well. definitely open to it.

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Makes sense. I think it's probably safe to remove that functionality for older images and require users to specify the image URI directly, but I'm also fine with leaving it as is.

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I'll probably do it in a separate PR then, and add some appropriate warnings. maybe once #1464 is finished, it'll be cleaner.

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