code: def copy_tensor_or_indexed_slices_to_device(value, device):
      """Copies a tensor or IndexedSlices to a device."""
      with ops.device(device):
          if isinstance(value, indexed_slices.IndexedSlices):
              copied_values = array_ops.identity(value.values)
              copied_indices = array_ops.identity(value.indices)
              if value.dense_shape is not None:
                  copied_shape = array_ops.identity(value.dense_shape)
              else:
                  copied_shape = None
              result = indexed_slices.IndexedSlices(
                  copied_values, copied_indices, copied_shape
              )
          else:
              result = array_ops.identity(value)
      return result
  
imports: import copy
  import threading
  from typing import Callable, List, Optional, Union
  from tensorflow.python.distribute import collective_util
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import backprop_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import collective_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nccl_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.types import core
label_desc: Use image node_id 6 for calling a global function with example usage: copy_tensor_or_indexed_slices_to_device(value, device) and returns: result