code: def normal(loc=0.0, scale=1.0, size=(1,)):
      if not hasattr(size, "__iter__"):
          size = (size,)
      return _torch.normal(mean=loc, std=scale, size=size)
  
file_path: geomstats/geomstats/_backend/pytorch/random.py
imports: import torch
  from torch import rand, randint
  from torch.distributions.multivariate_normal import MultivariateNormal
  from ._dtype import _allow_complex_dtype, _modify_func_default_dtype
label_desc: Use image node_id 3 for calling a global function with example usage: normal(loc, scale, size) and returns: _torch