tf.data.experimental.StatsOptions
Represents options for collecting dataset stats using StatsAggregator.
tf.data.experimental.StatsOptions()
You can set the stats options of a dataset through the experimental_stats property of tf.data.Options; the property is an instance of tf.data.experimental.StatsOptions. For example, to collect latency stats on all dataset edges, use the following pattern:
aggregator = tf.data.experimental.StatsAggregator()
options = tf.data.Options()
options.experimental_stats.aggregator = aggregator
options.experimental_stats.latency_all_edges = True
dataset = dataset.with_options(options)
| Attributes | |
|---|---|
aggregator |
Associates the given statistics aggregator with the dataset pipeline. |
counter_prefix |
Prefix for the statistics recorded as counter. |
latency_all_edges |
Whether to add latency measurements on all edges. Defaults to False. |
prefix |
Prefix to prepend all statistics recorded for the input dataset with. |
Methods
__eq__
__eq__(
other
)
Return self==value.
__ne__
__ne__(
other
)
Return self!=value.
© 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/data/experimental/StatsOptions