tf.raw_ops.RebatchDatasetV2

Creates a dataset that changes the batch size.

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tf.compat.v1.raw_ops.RebatchDatasetV2

tf.raw_ops.RebatchDatasetV2(
    input_dataset, batch_sizes, drop_remainder, output_types, output_shapes,
    name=None
)

Creates a dataset that rebatches elements from input_dataset into new batch sizes.

Args
input_dataset	A Tensor of type variant. A variant tensor representing the input dataset.
batch_sizes	A Tensor of type int64. A vector of integers representing the size of batches to produce. These values are cycled through in order.
drop_remainder	A Tensor of type bool.
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.
name	A name for the operation (optional).

Returns
A Tensor of type variant.