code: def _generateMatrix(self, m, n):
      matrix = (
          np.random.normal(-5, 5, m * n)
          .astype(np.complex128)
          .reshape([m, n])
      )
      matrix.imag = (
          np.random.normal(-5, 5, m * n)
          .astype(np.complex128)
          .reshape([m, n])
      )
      return matrix
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import dtypes
  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 linalg_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the MatrixSolveOpTest obj's underlying member method code with example usage: obj._generateMatrix(m, n) and returns: matrix