tf.data.experimental.StatsOptions
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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.
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Last updated 2020-10-01 UTC.
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