code: def testConcatTuple(self):
      c1 = np.random.rand(4, 4).astype(np.float32)
      c2 = np.random.rand(4, 4).astype(np.float32)
      with self.session():
          with self.test_scope():
              concat_list_t = array_ops.concat([c1, c2], 0)
              concat_tuple_t = array_ops.concat((c1, c2), 0)
          self.assertAllEqual(
              concat_list_t, self.evaluate(concat_tuple_t)
          )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python import pywrap_sanitizers
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 16 for calling the ConcatTest obj's underlying member method code with example usage: obj.testConcatTuple() without return types