Creates a dataset that applies f to the outputs of input_dataset.
tf.raw_ops.ParallelMapDataset( input_dataset, other_arguments, num_parallel_calls, f, output_types, output_shapes, use_inter_op_parallelism=True, sloppy=False, preserve_cardinality=False, metadata='', name=None ) Unlike a "MapDataset", which applies f sequentially, this dataset invokes up to num_parallel_calls copies of f in parallel.
Args | |
|---|---|
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. |
metadata | An optional string. Defaults to "". |
name | A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type variant. |