def __init__(self, stride, pad, dilate=1, group=1) -> None:
        """Conv2d_bias_hardswish constructor.

        Parameters
        ----------
        stride : int
            Stride of the convolution
        pad : int
            Size of padding to add to the input
        dilate : int, optional
            Size of spacing between kernel elements, by default 1
        group : int, optional
            Number of input channels to process to compute one output channel, by default 1
        """
        super().__init__("hardswish", stride, pad, dilate=dilate, group=group)
        self._attrs["epilogue"] = "LinearCombinationHardSwish"
Conv2d_bias_hardswish constructor.

        Parameters
        ----------
        stride : int
            Stride of the convolution
        pad : int
            Size of padding to add to the input
        dilate : int, optional
            Size of spacing between kernel elements, by default 1
        group : int, optional
            Number of input channels to process to compute one output channel, by default 1
        
python/aitemplate/compiler/ops/conv/conv2d_bias_hardswish.py