code: def copy_array(
      x: paddle.Tensor,
      *,
      to_ivy_array: Optional[bool] = True,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      if 0 in x.shape:
          new_arr = paddle.empty(x.shape, dtype=x.dtype)
      else:
          new_arr = x.clone()
      if to_ivy_array:
          return ivy.to_ivy(new_arr)
      return new_arr
  
imports: import struct
  from numbers import Number
  from typing import Union, List, Optional, Sequence, Tuple
  import numpy
  import paddle
  import ivy.functional.backends.paddle
  import ivy
  from ivy.func_wrapper import with_unsupported_device_and_dtypes
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_handle_nestable, _asarray_infer_dtype, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes, _remove_np_bfloat16
  from .None import backend_version
  from paddle.device import core
label_desc: Use image node_id 21 for calling a global function with example usage: copy_array(x) and returns: new_arr, ivy