code: def convolve(img, kernel):
      conv_fn = _maybe_process_in_chunks(
          cv2.filter2D, ddepth=-1, kernel=kernel
      )
      return conv_fn(img)
  
imports: from __future__ import division
  from typing import Optional, Sequence, Union
  from warnings import warn
  import cv2
  import numpy
  import skimage
  from albumentations import random_utils
  from albumentations.augmentations.utils import MAX_VALUES_BY_DTYPE, _maybe_process_in_chunks, clip, clipped, ensure_contiguous, is_grayscale_image, is_rgb_image, non_rgb_warning, preserve_channel_dim, preserve_shape
label_desc: Use image node_id 19 for calling a global function with example usage: convolve(img, kernel) and returns: conv_fn