code: def choice(x, a):
      """Generate a random sample from an array of given size."""
      if _torch.is_tensor(x):
          return x[_torch.randint(len(x), (a,))]
  
      return x
  
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 1 for calling a global function with example usage: choice(x, a) and returns: x, x