View source on GitHub |
Temporary GRUBlockCell impl with a different variable naming scheme.
Inherits From: GRUBlockCell
tf.contrib.rnn.GRUBlockCellV2(
num_units=None, cell_size=None, reuse=None, name='gru_cell'
)
Only differs from GRUBlockCell by variable names.
Args | |
---|---|
num_units
|
int, The number of units in the GRU cell. |
cell_size
|
int, The old (deprecated) name for num_units .
|
reuse
|
(optional) boolean describing whether to reuse variables in an
existing scope. If not True , and the existing scope already has the
given variables, an error is raised.
|
name
|
String, the name of the layer. Layers with the same name will
share weights, but to avoid mistakes we require reuse=True in such
cases. By default this is "lstm_cell", for variable-name compatibility
with tf.compat.v1.nn.rnn_cell.GRUCell .
|
Raises | |
---|---|
ValueError
|
if both cell_size and num_units are not None; or both are None. |
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 |