[BUG]cvcuda.resize not support cvcuda.Interp.LANCZOS

[Dribblelife]

Describe the bug
we use cvcuda to resize imgs, but found resize param not support cvcuda.Interp.LANCZOS

Steps/Code to reproduce bug
def clip_img2_tensor(self, imgs):
center_croped_tensor_hwc_list = []
for frame in imgs:
h = frame.height
w = frame.width
ratio = float(256.0) / min(w, h)
w_resize, h_resize = int(w * ratio), int(h * ratio)
frame_tensor_hwc = cvcuda.as_tensor(frame,"HWC")
resized_frame_tensor_hwc = cvcuda.resize(frame_tensor_hwc,(h_resize, w_resize, 3), cvcuda.Interp.LANCZOS)
# center_croped_tensor_hwc = cvcuda.center_crop(resized_frame_tensor_hwc, (224, 224))
center_croped_tensor_hwc_list.append(resized_frame_tensor_hwc)
stack_center_croped_tensor_hwc = cvcuda.stack(center_croped_tensor_hwc_list)
nvcvConvertTensor = cvcuda.convertto(stack_center_croped_tensor_hwc, np.float32, scale=1 / 255)

    mean_tensor = nvcv.as_tensor(self.scaleTensor, "NHWC")
    std_tensor = nvcv.as_tensor(self.stdTensor, "NHWC")
    nvcvNormTensor = cvcuda.normalize(nvcvConvertTensor, mean_tensor, std_tensor, cvcuda.NormalizeFlags.SCALE_IS_STDDEV)
    nvcvPreprocessedTensor = cvcuda.reformat(nvcvNormTensor, "NCHW")
    torch_preprocessed_tensor = torch.as_tensor(nvcvPreprocessedTensor.cuda(), device="cuda")
    return torch_preprocessed_tensor

Err is:
message: RuntimeError: NVCV_ERROR_INVALID_ARGUMENT: Invalid interpolation

Expected behavior
how can i use LANCZOS to resize img?

[Dribblelife]

I would like to move the existing OpenCV operations to the GPU, so I want to rewrite the original image = cv2.resize(image, (w_resize, h_resize), interpolation=cv2.INTER_LANCZOS4) to use cvcuda.resize. According to the official documentation, cvcuda implements this method.