tf.raw_ops.ParallelMapDatasetV2
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ParallelMapDatasetV2