tf.raw_ops.ExperimentalRebatchDataset

Creates a dataset that changes the batch size.

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tf.compat.v1.raw_ops.ExperimentalRebatchDataset

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.

Args
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).

Returns
A Tensor of type variant.