X5工具链采用opset11编译F.grid_sample时报错问题

def bilinear_sampler(img, coords, mode='bilinear', mask=False):
    """ Wrapper for grid_sample, uses pixel coordinates """
    H, W = img.shape[-2:]
    xgrid, ygrid = coords.split([1,1], dim=-1)
    xgrid = 2*xgrid/(W-1) - 1
    if H > 1:
        ygrid = 2*ygrid/(H-1) - 1

    grid = torch.cat([xgrid, ygrid], dim=-1)
    img = F.grid_sample(img, grid, align_corners=True)

    if mask:
        mask = (xgrid > -1) & (ygrid > -1) & (xgrid < 1) & (ygrid < 1)
        return img, mask.float()

    return img

需要部署的原始代码如上，平台仅支持opset11，改为opset11，onnx生成失败，报错如下，如果用opset16虽然onnx转换成功，但是模型量化失败。查看论坛，官方对grid_sample算在转onnx时已做了优化，请问该如何调用