in cpp/lltm.py [0:0]
def __init__(self, input_features, state_size):
super(LLTM, self).__init__()
self.input_features = input_features
self.state_size = state_size
self.weights = nn.Parameter(
torch.Tensor(3 * state_size, input_features + state_size))
self.bias = nn.Parameter(torch.Tensor(1, 3 * state_size))
self.reset_parameters()