tf.train.SequenceExample

TensorFlow 1 version

Public API for tf.train.experimental namespace.

Classes

class DynamicLossScale: Loss scale that dynamically adjusts itself.

class FixedLossScale: Loss scale with a fixed value.

class LossScale: Base class for all TF1 loss scales.

class PythonState: A mixin for putting Python state in an object-based checkpoint.

Functions

disable_mixed_precision_graph_rewrite(...): Disables the mixed precision graph rewrite. (deprecated)

enable_mixed_precision_graph_rewrite(...): Enable mixed precision via a graph rewrite. (deprecated)

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.train / SequenceExample

Classes

Functions