tf.raw_ops.PrivateThreadPoolDataset
Stay organized with collections
Save and categorize content based on your preferences.
Creates a dataset that uses a custom thread pool to compute input_dataset.
tf.raw_ops.PrivateThreadPoolDataset(
input_dataset, num_threads, output_types, output_shapes, name=None
)
input_dataset
|
A Tensor of type variant.
|
num_threads
|
A Tensor of type int64.
Identifies the number of threads to use for the private threadpool.
|
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.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[]]
