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tf.data.experimental.StatsOptions

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Class StatsOptions

Represents options for collecting dataset stats using StatsAggregator.

Aliases:

  • Class tf.compat.v1.data.experimental.StatsOptions
  • Class tf.compat.v2.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)

__init__

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__init__()

Initialize self. See help(type(self)) for accurate signature.

Properties

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__

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__eq__(other)

Return self==value.

__ne__

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__ne__(other)

Return self!=value.