[NPU]fix rl update weights 'Parameter' object has no attribute 'weight_LOADER' (#31796)
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@@ -333,11 +333,6 @@ class NPUW8A8Int8MoEMethod(_NPUMoEMethodBase):
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# Process weight
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weight: torch.Tensor = getattr(layer, f"{weight_prefix}_weight")
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weight.data = npu_format_cast(weight.data.transpose(1, 2))
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setattr(
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layer,
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f"{weight_prefix}_weight",
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torch.nn.Parameter(weight, requires_grad=False),
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)
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# Set dispatcher output dtype
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if weight_prefix == "w13":
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@@ -442,11 +437,6 @@ class NPUW4A8Int8MoEMethod(_NPUMoEMethodBase):
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weight = getattr(layer, f"{weight_prefix}_weight")
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weight.data = npu_format_cast(weight.data.transpose(1, 2))
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weight.data = self._pack_to_int32(weight.data)
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setattr(
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layer,
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f"{weight_prefix}_weight",
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torch.nn.Parameter(weight, requires_grad=False),
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)
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# Set dispatcher output dtype
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if weight_prefix == "w13":
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@@ -579,11 +569,6 @@ class NPUWNA16Int4MoEMethod(_NPUMoEMethodBase):
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.int()
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)
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weight.data = self._pack_to_int32(unpacked_weight)
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setattr(
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layer,
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f"{weight_prefix}_weight",
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torch.nn.Parameter(weight, requires_grad=False),
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)
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# Set dispatcher output dtype
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if weight_prefix == "w13":
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@@ -704,11 +689,6 @@ class NPUUnquantMoEMethod(_NPUMoEMethodBase):
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weight: torch.Tensor = getattr(layer, f"{weight_prefix}_weight")
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weight.data = npu_format_cast(weight)
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setattr(
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layer,
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f"{weight_prefix}_weight",
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torch.nn.Parameter(weight, requires_grad=False),
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)
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if weight_prefix == "w13":
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self._set_dispatcher_output_dtype(layer, "bf16")
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