code: def make_K_batch(N: int, M: int) -> TensorType:
      K_np = rng.randn(N, M, M)
      beye: AnyNDArray = np.array([np.eye(M) for _ in range(N)])
      return 0.1 * (K_np + np.transpose(K_np, (0, 2, 1))) + beye
  
imports: from unittest.mock import patch
  import numpy
  import pytest
  import tensorflow
  from check_shapes import ShapeChecker, check_shapes
  from numpy.testing import assert_allclose, assert_almost_equal
  import gpflow
  from gpflow import Parameter, default_float, default_jitter
  from gpflow.base import AnyNDArray, TensorType
  from gpflow.inducing_variables import InducingPoints
  from gpflow.kernels import Kernel
  from gpflow.kullback_leiblers import gauss_kl, prior_kl
  from gpflow.utilities.bijectors import triangular
label_desc: Use image node_id 5 for calling a global function with example usage: make_K_batch(N, M) and returns: unknown