code: def _makeBatch(self, matrix1, matrix2):
      matrix_batch = np.concatenate(
          [np.expand_dims(matrix1, 0), np.expand_dims(matrix2, 0)]
      )
      matrix_batch = np.tile(matrix_batch, [2, 3, 1, 1])
      return matrix_batch
  
imports: import itertools
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the ExponentialOpTest obj's underlying member method code with example usage: obj._makeBatch(matrix1, matrix2) and returns: matrix_batch