def set_use_npu_flash_attention(self, use_npu_flash_attention: bool) -> None:
        r"""
        Set whether to use npu flash attention from `torch_npu` or not.

        """
        if use_npu_flash_attention:
            processor = AttnProcessorNPU()
        else:
            # set attention processor
            # We use the AttnProcessor2_0 by default when torch 2.x is used which uses
            # torch.nn.functional.scaled_dot_product_attention for native Flash/memory_efficient_attention
            # but only if it has the default `scale` argument. TODO remove scale_qk check when we move to torch 2.1
            processor = (
                AttnProcessor2_0() if hasattr(F, "scaled_dot_product_attention") and self.scale_qk else AttnProcessor()
            )
        self.set_processor(processor)

        Set whether to use npu flash attention from `torch_npu` or not.

        
src/diffusers/models/attention_processor.py