tf.data.experimental.StatsAggregator

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Class StatsAggregator

A stateful resource that aggregates statistics from one or more iterators.

Aliases:

  • Class tf.compat.v2.data.experimental.StatsAggregator

To record statistics, use one of the custom transformation functions defined in this module when defining your tf.data.Dataset. All statistics will be aggregated by the StatsAggregator that is associated with a particular iterator (see below). For example, to record the latency of producing each element by iterating over a dataset:

dataset = ...
dataset = dataset.apply(tf.data.experimental.latency_stats("total_bytes"))

To associate a StatsAggregator with a tf.data.Dataset金坛期货配资 object, use the following pattern:

aggregator = tf.data.experimental.StatsAggregator()
dataset = ...

# Apply `StatsOptions` to associate `dataset` with `aggregator`.
options = tf.data.Options()
options.experimental_stats.aggregator = aggregator
dataset = dataset.with_options(options)

Note: This interface is experimental and expected to change. In particular, we expect to add other implementations of StatsAggregator金坛期货配资 that provide different ways of exporting statistics, and add more types of statistics.

__init__

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__init__()

金坛期货配资Initialize self. See help(type(self)) for accurate signature.

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