code: def testConcatDtype(self):
      for dtype in [
          dtypes.int32,
          dtypes.int64,
          dtypes.uint32,
          dtypes.uint64,
      ]:
          with test_util.use_gpu():
              t1 = constant_op.constant(
                  [[1, 2, 3], [4, 5, 6]], dtype=dtype
              )
              t2 = constant_op.constant(
                  [[7, 8, 9], [10, 11, 12]], dtype=dtype
              )
  
              c = gen_array_ops.concat_v2([t1, t2], 1)
              self.assertEqual([2, 6], c.get_shape().as_list())
              output = self.evaluate(c)
              self.assertAllEqual(
                  [[1, 2, 3, 7, 8, 9], [4, 5, 6, 10, 11, 12]], output
              )
  
imports: import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  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 gen_array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 39 for calling the ConcatOpTest obj's underlying member method code with example usage: obj.testConcatDtype() without return types