code: def read_image_as_png(
      bytes_obj: bytes, mode: ImageReadMode = ImageReadMode.UNCHANGED
  ) -> Optional[torch.Tensor]:
      """Reads image from bytes object from a PNG file."""
      try:
          with BytesIO(bytes_obj) as buffer:
              buffer_view = buffer.getbuffer()
              if len(buffer_view) == 0:
                  del buffer_view
                  raise Exception(
                      "Bytes object is empty. This could be due to a failed load from storage."
                  )
              image = decode_image(
                  torch.frombuffer(buffer_view, dtype=torch.uint8),
                  mode=mode,
              )
              del buffer_view
              return image
      except Exception as e:
          warnings.warn(
              f"Failed to read image from PNG file. Original exception: {e}"
          )
          return None
  
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 9 for calling a global function with example usage: read_image_as_png(bytes_obj, mode) and returns: image, None