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25 lines
925 B
Python
25 lines
925 B
Python
import modules.lora.network as network
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class ModuleTypeIa3(network.ModuleType):
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def create_module(self, net: network.Network, weights: network.NetworkWeights):
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if all(x in weights.w for x in ["weight"]):
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return NetworkModuleIa3(net, weights)
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return None
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class NetworkModuleIa3(network.NetworkModule): # pylint: disable=abstract-method
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def __init__(self, net: network.Network, weights: network.NetworkWeights):
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super().__init__(net, weights)
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self.w = weights.w["weight"]
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self.on_input = weights.w["on_input"].item()
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def calc_updown(self, target):
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w = self.w.to(target.device, dtype=target.dtype)
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output_shape = [w.size(0), target.size(1)]
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if self.on_input:
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output_shape.reverse()
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else:
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w = w.reshape(-1, 1)
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updown = target * w
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return self.finalize_updown(updown, target, output_shape)
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