code: def Xnew() -> tf.Tensor:
      return tf.convert_to_tensor(rng.randn(Mn, 1))
  
imports: import numpy
  import pytest
  import tensorflow
  from numpy.testing import assert_allclose
  import gpflow
  from gpflow import Parameter
  from gpflow.base import AnyNDArray, MeanAndVariance
  from gpflow.conditionals import conditional
  from gpflow.config import default_float
  from gpflow.kernels import Kernel
  from gpflow.utilities.bijectors import triangular
label_desc: Use image node_id 3 for calling a global function with example usage: Xnew() and returns: tf