Changes

Use tf.compat.v1.estimator.inputs instead of tf.estimator.inputs
Replace contrib references with tf.estimator.experimental.* for APIs in early_stopping.py
Determining the “correct” value of the --iterations_per_loop for TPUEstimator or DistributionStrategy continues to be a challenge for our users. We propose dynamically tuning the --iterations_per_loop variable, specifically for using TPUEstimator in training mode, based on a user target TPU execution time. Users might specify a value such as: --iterations_per_loop=300s, which will result in roughly 300 seconds being spent on the TPU between host side operations.

Thanks to our Contributors

This release contains contributions from many people at Google.