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lixiangyin666 avatar lixiangyin666 commented on May 27, 2024 1

目前,目前我们的mgeconvert是基于dump出的细粒度cpp图的,由于python层linear的实现是matmul + add,导致dump出的mge的op也是matmul + add,从而导致转到onnx也是matmul + add。
针对这个问题,我们在caffe转换器中加了pattern match以解决conv+bias, linear + bias的问题,见代码,后续我们重构一下,在解析mge层实现这种策略以支持onnx等其他框架。
另外,我们正在开发更高层表达的traced module以彻底解决这些问题

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