tf.compat.v1.nn.rnn_cell.MultiRNNCell

RNNCell wrapper that ensures cell inputs are added to the outputs.

Inherits From: RNNCell, Layer, Layer, Module

tf.compat.v1.nn.rnn_cell.ResidualWrapper(
    *args, **kwargs
)

Args
`cell`	An instance of `RNNCell`.
`residual_fn`	(Optional) The function to map raw cell inputs and raw cell outputs to the actual cell outputs of the residual network. Defaults to calling nest.map_structure on (lambda i, o: i + o), inputs and outputs.
`**kwargs`	dict of keyword arguments for base layer.

Attributes
`graph`
`output_size`
`scope_name`
`state_size`

Methods

`get_initial_state`

View source

get_initial_state(
    inputs=None, batch_size=None, dtype=None
)

`zero_state`

View source

zero_state(
    batch_size, dtype
)

TensorFlow

tf.compat / v1 / v1.nn.rnn_cell.MultiRNNCell

Args

Attributes

Methods

`get_initial_state`

`zero_state`

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.compat / v1 / v1.nn.rnn_cell.MultiRNNCell

Args

Attributes

Methods

get_initial_state

zero_state

`get_initial_state`

`zero_state`