code: def read_image_from_bytes_obj(
      bytes_obj: Optional[bytes] = None,
      num_channels: Optional[int] = None,
  ) -> Optional[torch.Tensor]:
      """Tries to read image as a tensor from the path.
  
      If the path is not decodable as a PNG, attempts to read as a numpy file. If neither of these work, returns None.
      """
      if bytes_obj is None:
          return None
      mode = get_image_read_mode_from_num_channels(num_channels)
  
      image = read_image_as_png(bytes_obj, mode)
      if image is None:
          image = read_image_as_numpy(bytes_obj)
      if image is None:
          image = read_image_as_tif(bytes_obj)
      if image is None:
          warnings.warn("Unable to read image from bytes object.")
      return image
  
imports: import logging
  import warnings
  from collections.abc import Iterable
  from dataclasses import dataclass
  from io import BytesIO
  from typing import Callable, List, Optional, Tuple, Union
  import numpy
  import tifffile
  import torch
  import torchvision.transforms.functional
  from torchvision.io import decode_image, ImageReadMode
  from torchvision.models._api import WeightsEnum
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import CROP_OR_PAD, INTERPOLATE
  from ludwig.encoders.base import Encoder
  from ludwig.utils.fs_utils import get_bytes_obj_from_path
  from ludwig.utils.registry import Registry
label_desc: Use image node_id 8 for calling a global function with example usage: read_image_from_bytes_obj(bytes_obj, num_channels) and returns: image, None