View source on GitHub |
RNNCell wrapper that adds highway connection on cell input and output.
Inherits From: RNNCell
tf.contrib.rnn.HighwayWrapper(
cell, couple_carry_transform_gates=True, carry_bias_init=1.0
)
Based on:
R. K. Srivastava, K. Greff, and J. Schmidhuber, "Highway networks", arXiv preprint arXiv:1505.00387, 2015. https://arxiv.org/abs/1505.00387
Args | |
---|---|
cell
|
An instance of RNNCell .
|
couple_carry_transform_gates
|
boolean, should the Carry and Transform gate be coupled. |
carry_bias_init
|
float, carry gates bias initialization. |
Attributes | |
---|---|
graph
|
DEPRECATED FUNCTION |
output_size
|
Integer or TensorShape: size of outputs produced by this cell. |
scope_name
|
|
state_size
|
size(s) of state(s) used by this cell.
It can be represented by an Integer, a TensorShape or a tuple of Integers or TensorShapes. |
Methods
get_initial_state
get_initial_state(
inputs=None, batch_size=None, dtype=None
)
zero_state
zero_state(
batch_size, dtype
)
Return zero-filled state tensor(s).
Args | |
---|---|
batch_size
|
int, float, or unit Tensor representing the batch size. |
dtype
|
the data type to use for the state. |
Returns | |
---|---|
If state_size is an int or TensorShape, then the return value is a
N-D tensor of shape [batch_size, state_size] filled with zeros.
If |