Clarify update_freq documentation on tf.distribute issues
@@ -2354,8 +2354,9 @@ class TensorBoard(Callback, version_utils.TensorBoardVersionSelector):
same applies for `'epoch'`. If using an integer, let's say `1000`, the
callback will write the metrics and losses to TensorBoard every 1000
batches. Note that writing too frequently to TensorBoard can slow down
- your training. May not work when doing distributed training, as
- currently only a subset of `tf.distribute.Strategy`s are supported.
+ your training, especially when used with `tf.distribute.Strategy` as
+ it will incur additional synchronization overhead.
+ Use with `ParameterServerStrategy` is not supported.
profile_batch: Profile the batch(es) to sample compute characteristics.
profile_batch must be a non-negative integer or a tuple of integers.
A pair of positive integers signify a range of batches to profile.
