code: def nested_for_loops(m):
      l = tf.TensorArray(
          tf.int32, size=0, dynamic_size=True, element_shape=()
      )
      for i in m:
          s = 0
          for j in i:
              s = s * 10 + j
          l = l.write(l.size(), s)
      return l.stack()
  
imports: import functools
  import itertools
  from absl.testing import parameterized
  import tensorflow
  from tensorflow.python.autograph.tests import reference_test_base
label_desc: Use image node_id 14 for calling a global function with example usage: nested_for_loops(m) and returns: l