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remove outdated comment
Signed-off-by: bk-201 <joy25810@foxmail.com>
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@ -63,10 +63,6 @@ class RowParallelLinearWithLoRA(BaseLinearLayerWithLoRA):
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input_parallel = splitted_input[self.tp_rank].contiguous()
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# Matrix multiply.
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# Only fuse bias add into GEMM for rank 0 (matches base
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# RowParallelLinear behavior). This ensures bias will not get
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# added more than once in TP>1 case and matches the numerical
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# behavior of the unwrapped layer
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bias_ = (
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None
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if (self.tp_rank > 0 or self.base_layer.skip_bias_add)
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