/TensorFlow 2.4


Creates a dataset that applies f to the outputs of input_dataset.

Unlike a "MapDataset", which applies f sequentially, this dataset invokes up to num_parallel_calls copies of f in parallel.

input_dataset A Tensor of type variant.
other_arguments A list of Tensor objects.
num_parallel_calls A Tensor of type int32. The number of concurrent invocations of f that process elements from input_dataset in parallel.
f A function decorated with @Defun.
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_inter_op_parallelism An optional bool. Defaults to True.
sloppy An optional bool. Defaults to False.
preserve_cardinality An optional bool. Defaults to False.
name A name for the operation (optional).
A Tensor of type variant.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.