tensorflow::TensorProto repr = tfl::ConvertTfliteConstTensor(tensor, buffer);
  repr.clear_tensor_shape();
  if (tfl::IsQuantized(tensor)) {
    repr.mutable_tensor_shape()->add_dim()->set_size(buffer.size());
    repr.set_dtype(tensorflow::DT_INT8);
  } else {
    repr.mutable_tensor_shape()->add_dim()->set_size(
        buffer.size() / (shaped_type.getElementTypeBitWidth() / CHAR_BIT));
  }

                         const TensorShapeProto& shape, Graph* graph_out) {
  DataType data_type = src_node->output_type(src_port);
  TensorProto dummy_proto;
  dummy_proto.set_dtype(data_type);
  *dummy_proto.mutable_tensor_shape() = shape;
  // Don't set any value field in the proto, since it is only going to be used
  // for shape inference.

  GraphDefBuilder::Options options(graph_out, /*status=*/nullptr);