tf.config.threading.set_inter_op_parallelism

TensorFlow 1 version

tf.data.Dataset API for input pipelines.

See Importing Data for an overview.

Modules

experimental module: Experimental API for building input pipelines.

Classes

class Dataset: Represents a potentially large set of elements.

class DatasetSpec: Type specification for tf.data.Dataset.

class FixedLengthRecordDataset: A Dataset of fixed-length records from one or more binary files.

class Iterator: Represents an iterator of a tf.data.Dataset.

class IteratorSpec: Type specification for tf.data.Iterator.

class Options: Represents options for tf.data.Dataset.

class TFRecordDataset: A Dataset comprising records from one or more TFRecord files.

class TextLineDataset: A Dataset comprising lines from one or more text files.

Other Members
AUTOTUNE	`-1`
INFINITE_CARDINALITY	`-1`
UNKNOWN_CARDINALITY	`-2`

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.config / threading / threading.set_inter_op_parallelism_threads

Modules

Classes

Other Members