code: def testInt64Shape(self):
      with test_util.use_gpu():
          cdim = constant_op.constant(1, dtypes.int32)
          s0 = constant_op.constant([2, 5000000000, 5], dtypes.int64)
          s1 = constant_op.constant([2, 7, 5], dtypes.int64)
          s2 = constant_op.constant([2, 20, 5], dtypes.int64)
          off = gen_array_ops.concat_offset(cdim, [s0, s1, s2])
          ans = self.evaluate(off)
          self.assertAllEqual(
              ans, [[0, 0, 0], [0, 5000000000, 0], [0, 5000000007, 0]]
          )
          self.assertEqual(ans[0].dtype, dtypes.int64)
  
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 8 for calling the ConcatOffsetTest obj's underlying member method code with example usage: obj.testInt64Shape() without return types