Creates a dataset that applies f to the outputs of input_dataset.
tf.raw_ops.ParallelMapDatasetV2(
input_dataset, other_arguments, num_parallel_calls, f, output_types,
output_shapes, use_inter_op_parallelism=True, deterministic='default',
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 int64.
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.
|
deterministic
|
An optional string. Defaults to "default".
|
preserve_cardinality
|
An optional bool. Defaults to False.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type variant.
|