code: def testDynamic(self):
      with self.session() as sess:
          inp = array_ops.placeholder(ops.dtypes.float32)
          expm = linalg_impl.matrix_exponential(inp)
          matrix = np.array([[1.0, 2.0], [3.0, 4.0]])
          sess.run(expm, feed_dict={inp: matrix})
  
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 13 for calling the ExponentialOpTest obj's underlying member method code with example usage: obj.testDynamic() without return types