tf.contrib.rnn.Conv3DLSTMCell
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3D Convolutional LSTM recurrent network cell.
Inherits From: ConvLSTMCell
tf.contrib.rnn.Conv3DLSTMCell(
name='conv_3d_lstm_cell', **kwargs
)
https://arxiv.org/pdf/1506.04214v1.pdf
Attributes
graph
DEPRECATED FUNCTION
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version.
Instructions for updating:
Stop using this property because tf.layers layers no longer track their graph.
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
View source
get_initial_state(
inputs=None, batch_size=None, dtype=None
)
zero_state
View source
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 state_size
is a nested list or tuple, then the return value is
a nested list or tuple (of the same structure) of 2-D
tensors with
the shapes [batch_size, s]
for each s in state_size
.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
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