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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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