message: Improve use_calibration arg documentation
diff: @@ -100,8 +100,11 @@ def tensorrt_rewriter_config(rewriter_config=None,
  if set to True, a calibration graph will be created to calibrate the
  missing ranges. The calibration graph must be converted to an inference
  graph using calib_graph_to_infer_graph() after running calibration.
  - if set to False, quantization ranges will be expected for every tensor in
  - the graph. If a range is missing, an error will occur.
  + if set to False, quantization nodes will be expected for every tensor in
  + the graph (exlcuding those which will be fused). If a range is missing,
  + an error will occur. Please note that accuracy may be negatively affected
  + if there is a mismatch between which tensors TRT quantizes and which
  + tensors were trained with fake quantization.
  Returns:
  A RewriterConfig proto which sets a TensorRTOptimizer to run Grappler.
  @@ -197,8 +200,11 @@ def create_inference_graph(input_graph_def,
  if set to True, a calibration graph will be created to calibrate the
  missing ranges. The calibration graph must be converted to an inference
  graph using calib_graph_to_infer_graph() after running calibration.
  - if set to False, quantization ranges will be expected for every tensor in
  - the graph. If a range is missing, an error will occur.
  + if set to False, quantization nodes will be expected for every tensor in
  + the graph (exlcuding those which will be fused). If a range is missing,
  + an error will occur. Please note that accuracy may be negatively affected
  + if there is a mismatch between which tensors TRT quantizes and which
  + tensors were trained with fake quantization.
  input_saved_model_dir: the directory to load the SavedModel which contains
  the input graph to transforms. Used only when input_graph_def is None.
  input_saved_model_tags: list of tags to load the SavedModel.
  