code: def _randn(rng, *shape):
      return np.asarray(rng.randn(*shape), dtype=np.float32)
  
file_path: nnabla/python/test/nbla_test_function_network.py
imports: import nnabla
  import numpy
  from scipy import optimize
  from nnabla.testing import assert_allclose
label_desc: Use image node_id 1 for calling a global function with example usage: _randn(rng) and returns: np