tf.raw_ops.ExperimentalRebatchDataset

Creates a dataset that changes the batch size.

tf.raw_ops.ExperimentalRebatchDataset(
    input_dataset,
    num_replicas,
    output_types,
    output_shapes,
    use_fallback=True,
    name=None
)

Creates a dataset that changes the batch size of the dataset to current batch size // num_replicas.

input_dataset A Tensor of type variant. A variant tensor representing the input dataset.
num_replicas A Tensor of type int64. A scalar representing the number of replicas to distribute this batch across. As a result of this transformation the current batch size would end up being divided by this parameter.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
use_fallback An optional bool. Defaults to True.
name A name for the operation (optional).

A Tensor of type variant.