tf.raw_ops.ParallelBatchDataset 

tf.raw_ops.ParallelBatchDataset(
    input_dataset,
    batch_size,
    num_parallel_calls,
    drop_remainder,
    output_types,
    output_shapes,
    parallel_copy=False,
    deterministic='default',
    metadata='',
    name=None
)

input_dataset A Tensor of type variant.
batch_size A Tensor of type int64.
num_parallel_calls A Tensor of type int64.
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.
parallel_copy An optional bool. Defaults to False.
deterministic An optional string. Defaults to "default".
metadata An optional string. Defaults to "".
name A name for the operation (optional).

A Tensor of type variant.