Changes
- Use
tf.compat.v1.estimator.inputs
instead oftf.estimator.inputs
- Replace
contrib
references withtf.estimator.experimental.*
for APIs inearly_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.