tf.raw_ops.ExperimentalPrivateThreadPoolDataset
Creates a dataset that uses a custom thread pool to compute input_dataset.
tf.raw_ops.ExperimentalPrivateThreadPoolDataset(
input_dataset, num_threads, output_types, output_shapes, name=None
)
| Args | |
|---|---|
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. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/ExperimentalPrivateThreadPoolDataset