LostTech.TensorFlow : API Documentation

Type Options

Namespace tensorflow.data

Parent OptionsBase

Interfaces IOptions

Represents options for tf.data.Dataset.

An `Options` object can be, for instance, used to control which static optimizations to apply or whether to use performance modeling to dynamically tune the parallelism of operations such as tf.data.Dataset.map or tf.data.Dataset.interleave.

Methods

Properties

Public instance methods

object merge(Options options)

Merges itself with the given tf.data.Options.

The given tf.data.Options can be merged as long as there does not exist an attribute that is set to different values in `self` and `options`.
Parameters
Options options
a tf.data.Options to merge with
Returns
object
New `tf.data.Options()` object which is the result of merging self with the input tf.data.Options.

object merge_dyn(object options)

Merges itself with the given tf.data.Options.

The given tf.data.Options can be merged as long as there does not exist an attribute that is set to different values in `self` and `options`.
Parameters
object options
a tf.data.Options to merge with
Returns
object
New `tf.data.Options()` object which is the result of merging self with the input tf.data.Options.

Public properties

PropertyInfo experimental_deterministic get; set;

Whether the outputs need to be produced in deterministic order. If None, defaults to True.

object experimental_deterministic_dyn get; set;

Whether the outputs need to be produced in deterministic order. If None, defaults to True.

PropertyInfo experimental_distribute get; set;

The distribution strategy options associated with the dataset. See tf.data.experimental.DistributeOptions for more details.

object experimental_distribute_dyn get; set;

The distribution strategy options associated with the dataset. See tf.data.experimental.DistributeOptions for more details.

PropertyInfo experimental_optimization get; set;

The optimization options associated with the dataset. See tf.data.experimental.OptimizationOptions for more details.

object experimental_optimization_dyn get; set;

The optimization options associated with the dataset. See tf.data.experimental.OptimizationOptions for more details.

PropertyInfo experimental_slack get; set;

Whether to introduce 'slack' in the last `prefetch` of the input pipeline, if it exists. This may reduce CPU contention with accelerator host-side activity at the start of a step. The slack frequency is determined by the number of devices attached to this input pipeline. If None, defaults to False.

object experimental_slack_dyn get; set;

Whether to introduce 'slack' in the last `prefetch` of the input pipeline, if it exists. This may reduce CPU contention with accelerator host-side activity at the start of a step. The slack frequency is determined by the number of devices attached to this input pipeline. If None, defaults to False.

PropertyInfo experimental_stateful_whitelist get; set;

By default, tf.data will refuse to serialize a dataset or checkpoint its iterator if the dataset contains a stateful op as the serialization / checkpointing won't be able to capture its state. Users can -- at their own risk -- override this restriction by explicitly whitelisting stateful ops by specifying them in this list.

object experimental_stateful_whitelist_dyn get; set;

By default, tf.data will refuse to serialize a dataset or checkpoint its iterator if the dataset contains a stateful op as the serialization / checkpointing won't be able to capture its state. Users can -- at their own risk -- override this restriction by explicitly whitelisting stateful ops by specifying them in this list.

PropertyInfo experimental_stats get; set;

The statistics options associated with the dataset. See tf.data.experimental.StatsOptions for more details.

object experimental_stats_dyn get; set;

The statistics options associated with the dataset. See tf.data.experimental.StatsOptions for more details.

PropertyInfo experimental_threading get; set;

The threading options associated with the dataset. See tf.data.experimental.ThreadingOptions for more details.

object experimental_threading_dyn get; set;

The threading options associated with the dataset. See tf.data.experimental.ThreadingOptions for more details.

object PythonObject get;