code: def astype(
      x: paddle.Tensor,
      dtype: paddle.dtype,
      /,
      *,
      copy: bool = True,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      dtype = ivy.as_native_dtype(dtype)
      if x.dtype == dtype:
          return x.clone() if copy else x
      return x.clone().cast(dtype) if copy else x.cast(dtype)
  
imports: from typing import Optional, Union, Sequence, List
  import paddle
  import ivy.functional.backends.paddle
  import numpy
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.data_type import _handle_nestable_dtype_info
  from .None import backend_version
label_desc: Use image node_id 1 for calling a global function with example usage: astype() and returns: unknown, unknown