code: def _bytes_to_int32(byte_array: io.BytesIO) -> torch.Tensor:
      """
      Convert a byte array to int32 values.
  
      Args:
          byte_array: The input byte array.
      Returns:
          The int32 tensor.
      """
      buf = np.frombuffer(byte_array.getvalue(), dtype=np.uint8)
      # The copy operation is required to avoid a warning about non-writable
      # tensors.
      buf = torch.from_numpy(buf.copy()).to(dtype=torch.int32)
      return buf
  
imports: import argparse
  import io
  from typing import Dict, Union
  import numpy
  import torch
  from PIL import Image
  from data.transforms import TRANSFORMATIONS_REGISTRY, BaseTransformation
label_desc: Use image node_id 2 for calling a global function with example usage: _bytes_to_int32(byte_array) and returns: buf