message: Remove debugging codes
diff: @@ -119,8 +119,7 @@ def GetMultiEngineGraphDef(dtype=dtypes.float32):
  return g.as_graph_def()
  -TestGraph = namedtuple(
  - "TestGraph",
  +TestGraph = namedtuple("TestGraph",
  ["gdef", "num_expected_engines", "expected_output_dims"])
  TEST_GRAPHS = {
  @@ -237,18 +236,10 @@ class TfTrtIntegrationTest(test_util.TensorFlowTestCase):
  self.assertEquals(num_engines,
  TEST_GRAPHS[graph_key].num_expected_engines)
  - def laigdwritegraph(self, gdef, suffix, g, u=None, p=None, i=None, c=None):
  - graph_io.write_graph(
  - gdef, "/usr/local/google/home/laigd/ShareWithMac/tmp/",
  - "graph=%s-use_optimizer=%s-precision_mode=%s-dynamic_infer_engine=%s-dynamic_calib_engine=%s.pbtxt"
  - % (g, u, p, i, c)
  - if suffix != "original" else "graph=%s-%s.pbtxt" % (g, suffix))
  -
  def _RunTest(self, graph_key, use_optimizer, precision_mode,
  dynamic_infer_engine, dynamic_calib_engine):
  assert precision_mode in [MODE_FP32, MODE_FP16, MODE_INT8]
  input_gdef = TEST_GRAPHS[graph_key].gdef
  - self.laigdwritegraph(input_gdef, "original", graph_key)
  self._VerifyGraphDef(graph_key, input_gdef)
  # Get reference result without running trt.
  @@ -272,9 +263,6 @@ class TfTrtIntegrationTest(test_util.TensorFlowTestCase):
  else:
  calib_gdef = self._GetTrtGraph(input_gdef, precision_mode,
  dynamic_calib_engine)
  - self.laigdwritegraph(calib_gdef, "calibration", graph_key,
  - use_optimizer, precision_mode,
  - dynamic_infer_engine, dynamic_calib_engine)
  self._VerifyGraphDef(graph_key, calib_gdef, precision_mode, False,
  dynamic_calib_engine)
  result = self._RunCalibration(graph_key, calib_gdef, self._input,
  @@ -295,9 +283,6 @@ class TfTrtIntegrationTest(test_util.TensorFlowTestCase):
  else:
  trt_infer_gdef = self._GetTrtGraph(infer_gdef, precision_mode,
  dynamic_infer_engine)
  - self.laigdwritegraph(trt_infer_gdef, "inference", graph_key,
  - use_optimizer, precision_mode, dynamic_infer_engine,
  - dynamic_calib_engine)
  self._VerifyGraphDef(graph_key, trt_infer_gdef, precision_mode, True,
  dynamic_infer_engine)
  result = self._RunGraph(graph_key, trt_infer_gdef, self._input,
  