code: def randn_like(
      input,
      *,
      dtype=None,
      layout=None,
      device=None,
      requires_grad=False,
      memory_format=None,
  ):
      shape = input.shape
      if not dtype:
          dtype = input.dtype
  
      return ivy.random_normal(
          shape=shape,
          dtype=dtype,
          device=device,
      )
  
file_path: ivy/ivy/functional/frontends/torch/random_sampling.py
imports: import ivy
  from ivy.func_wrapper import with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 11 for calling a global function with example usage: randn_like(input) and returns: ivy