RNN cell composed sequentially of multiple simple cells.
tf.compat.v1.nn.rnn_cell.MultiRNNCell( cells, state_is_tuple=True )
num_units = [128, 64] cells = [BasicLSTMCell(num_units=n) for n in num_units] stacked_rnn_cell = MultiRNNCell(cells)
| ||list of RNNCells that will be composed in this order.|
| || If True, accepted and returned states are n-tuples, where |
| || if cells is empty (not allowed), or at least one of the cells returns a state tuple but the flag |
| ||DEPRECATED FUNCTION|
| ||Integer or TensorShape: size of outputs produced by this cell.|
| || 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.
get_initial_state( inputs=None, batch_size=None, dtype=None )
zero_state( batch_size, dtype )
Return zero-filled state tensor(s).
| ||int, float, or unit Tensor representing the batch size.|
| ||the data type to use for the state.|
| If |
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