code: def inplace_increment(
      x: Union[ivy.Array, tf.Tensor], val: Union[ivy.Array, tf.Tensor]
  ) -> ivy.Array:
      (x_native, val_native), _ = ivy.args_to_native(x, val)
      if _is_variable(x_native):
          x_native.assign(x_native + val_native)
          if ivy.is_ivy_array(x):
              x.data = x_native
          else:
              x = ivy.Array(x_native)
      else:
          x_native += val_native
          if ivy.is_ivy_array(x):
              x._data = x_native
          else:
              x = ivy.Array(x_native)
      return x
  
imports: from typing import Optional, Union, Sequence, Callable, Tuple
  import numpy
  import multiprocessing
  from numbers import Number
  import tensorflow
  import ivy
  from ivy.functional.ivy.gradients import _is_variable
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.utils.exceptions import _check_inplace_update_support
  from .None import backend_version
  from ...ivy.general import _broadcast_to
label_desc: Use image node_id 16 for calling a global function with example usage: inplace_increment(x, val) and returns: x