code: def testConcatNegativeAxis(self):
      with test_util.use_gpu():
          t1 = [[1, 2, 3], [4, 5, 6]]
          t2 = [[7, 8, 9], [10, 11, 12]]
  
          c = gen_array_ops.concat_v2([t1, t2], -2)
          self.assertEqual([4, 3], c.get_shape().as_list())
          output = self.evaluate(c)
          self.assertAllEqual(
              [[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]], output
          )
  
          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 35 for calling the ConcatOpTest obj's underlying member method code with example usage: obj.testConcatNegativeAxis() without return types