def shape(self):
(Wh, ) = self.limits[1]
d = Wh.shape[-1] / 4
if len(self.limits) > 3:
return (2, d)
x = self.arg
x_shape = x.shape
shape = (x_shape[-2], d)
if len(x_shape) > 2:
shape = (x[0], ) + shape
return shape
lstm = Function.lstm(real=True,
integer=None,
eval=lstm_recursive,
shape=property(shape))
def LSTM(x, *weights):
(W, ), (Wh, ), (b, ) = weights
n = x.shape[0]
t = Symbol.t(integer=True)
return Lamda[t:n](Indexed(lstm[W, Wh, b, t](x), 0))
def LSTMCell(x, *weights):
(W, ), (Wh, ), (b, ) = weights
n = x.shape[0]
t = Symbol.t(integer=True)
return Lamda[t:n](Indexed(lstm[W, Wh, b, t](x), 1))
