def getDecoders(self):
neurons = self._parent.nodes[0].neurons
decoders = MU.zero(neurons * len(self._origins), self._dimensions)
for i, o in enumerate(self._origins):
MU.copyInto(o.decoders, decoders, i * neurons, i * o.dimensions,
neurons)
return decoders
def getEncoders(self):
neurons = self.nodes[0].neurons
encoders = MU.zero(self.neurons, self.dimension)
for i, n in enumerate(self.nodes):
MU.copyInto(n.encoders, encoders, i * neurons, i * n.dimension,
neurons)
return encoders
def getDecoders(self):
neurons=self._parent.nodes[0].neurons
decoders=MU.zero(neurons*len(self._origins),self._dimensions)
for i,o in enumerate(self._origins):
MU.copyInto(o.decoders,decoders,i*neurons,i*o.dimensions,neurons)
return decoders
def getEncoders(self):
neurons=self.nodes[0].neurons
encoders=MU.zero(self.neurons,self.dimension)
for i,n in enumerate(self.nodes):
MU.copyInto(n.encoders,encoders,i*neurons,i*n.dimension,neurons)
return encoders
