def METHOD_NAME(input,
           weight,
           bias=None,
           stride=1,
           padding=0,
           dilation=1,
           groups=1):
    if could_use_op(input):
        return conv2d_gradfix(
            transpose=False,
            weight_shape=weight.shape,
            stride=stride,
            padding=padding,
            output_padding=0,
            dilation=dilation,
            groups=groups,
        ).apply(input, weight, bias)
    return F.METHOD_NAME(
        input=input,
        weight=weight,
        bias=bias,
        stride=stride,
        padding=padding,
        dilation=dilation,
        groups=groups,
    )