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, 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 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type variant .
|