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Parameterized training options for EsTrainer implementation in tensorflow #2953

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This PR parameterizes training options for EsTrainer implementation in tensorflow. This makes the implementation similar to that in pytorch and allows users to configure training setup and similar to the implementation in pytorch.

For example, users will be able to reproduce the experiment in the original ENAS paper by setting the training steps for the controller to 2000.

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ghost commented Oct 14, 2020

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All CLA requirements met.

@QuanluZhang QuanluZhang changed the base branch from master to v1.9 October 19, 2020 02:39
@QuanluZhang QuanluZhang merged commit 58873c4 into microsoft:v1.9 Oct 19, 2020
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