Creates a dataset that changes the batch size.
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.
 |