class_docstr: Tests that belong in concat_op_test.py, but run over large tensors.
code: def testConcatLargeTensors(self):
      # CPU-only test, because it fails on GPUs with <= 4GB memory.
      with ops.device("/cpu:0"):
          a = array_ops.ones([2**31 + 6], dtype=dtypes.int8)
          b = array_ops.zeros([1024], dtype=dtypes.int8)
          onezeros = array_ops.concat([a, b], 0)
      with self.session(use_gpu=False):
          # TODO(dga):  Add more depth to this test to validate correctness,
          # not just non-crashingness, once other large tensor fixes have gone in.
          _ = self.evaluate(onezeros)
  
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the LargeConcatOpTest obj's underlying member method code with example usage: obj.testConcatLargeTensors() without return types