Method format_pad

ppq/IR/morph.py:231–244

对于不同的模型格式, pad 算子将有两种不同的输入格式： for different models, possibly Pad op has the following input formats 1. pads 参数由第二个输入变量给出 pads parameter is given by the second input variable 2. pads 参数被放置于 operation.attribute 中

(self)

            self.__add_constant_input(slice, convert_any_to_torch_tensor(axes))

    def format_pad(self) -> None:
        """
            对于不同的模型格式, pad 算子将有两种不同的输入格式：
            for different models, possibly Pad op has the following input formats
                1. pads 参数由第二个输入变量给出
                   pads parameter is given by the second input variable
                2. pads 参数被放置于 operation.attribute 中
                   pads parameter is set in attribute
            此函数统一 pad 算子行为：所有 pad 算子的 pads 参数均由第二个输入给出
        """
        for op in self.graph.operations.values():
            if op.type == 'Pad' and 'pads' in op.attributes:
                self.graph.create_variable(value=torch.tensor(op.attributes['pads']), is_parameter=True, dest_ops=[op])
                op.attributes.clear()

    def format_resize(self) -> None:
        """