code: def std(
      x: paddle.Tensor,
      /,
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      correction: Union[int, float] = 0,
      keepdims: bool = False,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      return _std(x, axis, correction, keepdims).cast(x.dtype)
  
file_path: ivy/ivy/functional/backends/paddle/statistical.py
imports: from typing import Union, Optional, Sequence
  import paddle
  import ivy
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes, with_supported_device_and_dtypes
  import ivy.functional.backends.paddle
  from ivy.utils.einsum_parser import legalise_einsum_expr
  from .None import backend_version
label_desc: Use image node_id 6 for calling a global function with example usage: std() and returns: _std