code: def testBasic(self):
      with self.session():
          with self.test_scope():
              cdim = constant_op.constant(1, dtypes.int32)
              s0 = constant_op.constant([2, 3, 5], dtypes.int32)
              s1 = constant_op.constant([2, 7, 5], dtypes.int32)
              s2 = constant_op.constant([2, 20, 5], dtypes.int32)
              off = gen_array_ops.concat_offset(cdim, [s0, s1, s2])
              ans = self.evaluate(off)
              self.assertAllEqual(
                  ans, [[0, 0, 0], [0, 3, 0], [0, 10, 0]]
              )
  
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 1 for calling the ConcatOffsetTest obj's underlying member method code with example usage: obj.testBasic() without return types