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import network
class ModuleTypeNorm(network.ModuleType):
def create_module(self, net: network.Network, weights: network.NetworkWeights):
if all(x in weights.w for x in ["w_norm", "b_norm"]):
return NetworkModuleNorm(net, weights)
return None
class NetworkModuleNorm(network.NetworkModule):
def __init__(self, net: network.Network, weights: network.NetworkWeights):
super().__init__(net, weights)
self.w_norm = weights.w.get("w_norm")
self.b_norm = weights.w.get("b_norm")
def calc_updown(self, orig_weight):
output_shape = self.w_norm.shape
updown = self.w_norm.to(orig_weight.device, dtype=orig_weight.dtype)
if self.b_norm is not None:
ex_bias = self.b_norm.to(orig_weight.device, dtype=orig_weight.dtype)
else:
ex_bias = None
return self.finalize_updown(updown, orig_weight, output_shape, ex_bias)
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