netket.experimental.nn.rnn.RNNCell#
- class netket.experimental.nn.rnn.RNNCell[source]#
Bases:
Module
Recurrent neural network cell that updates the hidden memory at each site.
- Methods
- abstract __call__(inputs, cell_mem, hidden)[source]#
Applies the RNN cell to a batch of input sites at a given index.
- Parameters:
inputs – input data with dimensions (batch, in_features).
cell_mem – cell memory from the previous site with dimensions (batch, features).
hidden – hidden memories from the previous neighbors with dimensions (batch, n_neighbors, features).
- Returns:
cell_mem
the updated cell memory with dimensions
(batch, self.features)
.
outputs
the updated hidden memory with dimensions
(batch, self.features)
, also serves as the output data at the current site for thenetket.experimental.nn.rnn.RNNLayer
layer.