Fix various typos with crate-ci/typos
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@@ -30,7 +30,7 @@ def factorization(dimension: int, factor:int=-1) -> tuple[int, int]:
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In LoRA with Kroneckor Product, first value is a value for weight scale.
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secon value is a value for weight.
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Becuase of non-commutative property, A⊗B ≠ B⊗A. Meaning of two matrices is slightly different.
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Because of non-commutative property, A⊗B ≠ B⊗A. Meaning of two matrices is slightly different.
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examples)
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factor
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@@ -355,7 +355,7 @@ def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn
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"""
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Applies the currently selected set of networks to the weights of torch layer self.
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If weights already have this particular set of networks applied, does nothing.
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If not, restores orginal weights from backup and alters weights according to networks.
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If not, restores original weights from backup and alters weights according to networks.
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"""
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network_layer_name = getattr(self, 'network_layer_name', None)
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