code: def random_normal(
      *,
      mean: Union[float, np.ndarray] = 0.0,
      std: Union[float, np.ndarray] = 1.0,
      shape: Optional[Union[ivy.NativeShape, Sequence[int]]] = None,
      device: Optional[str] = None,
      dtype: np.dtype,
      seed: Optional[int] = None,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      _check_valid_scale(std)
      shape = _check_bounds_and_get_shape(mean, std, shape).shape
      if seed:
          np.random.seed(seed)
      return np.asarray(np.random.normal(mean, std, shape), dtype=dtype)
  
file_path: ivy/ivy/functional/backends/numpy/random.py
imports: import numpy
  from typing import Optional, Union, Sequence
  import ivy
  from ivy.functional.ivy.random import _check_bounds_and_get_shape, _randint_check_dtype_and_bound, _check_valid_scale
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 2 for calling a global function with example usage: random_normal() and returns: np