message: [TFLite] Don't always treat inputs and outputs as encoded floats.
diff: @@ -202,11 +202,12 @@ def toco_convert(input_data,
  input_array.name = _tensor_name(input_tensor)
  input_array.shape.dims.extend(map(int, input_tensor.get_shape()))
  - toco.inference_input_type = tflite_input_type
  for output_tensor in output_tensors:
  model.output_arrays.append(_tensor_name(output_tensor))
  + # TODO(aselle): Consider handling the case of allowing quantized
  + # inputs to be converted to float (via the toco.inference_input_type field).
  data = toco_convert_protos(model.SerializeToString(),
  toco.SerializeToString(),
  input_data.SerializeToString())
  