tf.data.experimental.ThreadingOptions
Represents options for dataset threading.
tf.data.experimental.ThreadingOptions()
You can set the threading options of a dataset through the experimental_threading property of tf.data.Options; the property is an instance of tf.data.experimental.ThreadingOptions.
options = tf.data.Options()
options.experimental_threading.private_threadpool_size = 10
dataset = dataset.with_options(options)
| Attributes | |
|---|---|
max_intra_op_parallelism |
If set, it overrides the maximum degree of intra-op parallelism. |
private_threadpool_size |
If set, the dataset will use a private threadpool of the given size. |
Methods
__eq__
__eq__(
other
)
Return self==value.
__ne__
__ne__(
other
)
Return self!=value.
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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/data/experimental/ThreadingOptions