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