tf.data.experimental.StatsOptions

TensorFlow 1 version View source on GitHub

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__

View source

__eq__(
    other
)

Return self==value.

__ne__

View source

__ne__(
    other
)

Return self!=value.