code: def _parse_device_input(device_name):
      if isinstance(device_name, str):
          # We support string value like "cpu:0", "gpu:1", and need to convert
          # "gpu" to "cuda"
          device_name = device_name.lower()
          if "gpu" in device_name:
              device_name = device_name.replace("gpu", "cuda")
      else:
          raise ValueError(
              "Invalid value for argument `device_name`. "
              "Expected a string like 'gpu:0' or 'cpu'. "
              f"Received: device_name='{device_name}'"
          )
      # The torch.Device instance can be used directly.
      return device_name
  
imports: import contextlib
  import os
  import numpy
  import torch
  import tree
  from keras.backend.common import KerasVariable
  from keras.backend.common import global_state
  from keras.backend.common import standardize_dtype
  from keras.backend.common.dtypes import result_type
  from keras.backend.common.keras_tensor import KerasTensor
  from keras.backend.common.stateless_scope import StatelessScope
  from keras.backend.config import floatx
  from keras.utils.nest import pack_sequence_as
label_desc: Use image node_id 3 for calling a global function with example usage: _parse_device_input(device_name) and returns: device_name