code: def forward(self, x):
      outs = self.net(x)
  
      new_outs = []
      for out in outs:
          if self.output_op == "argmax":
              out = paddle.argmax(out, axis=1, dtype="int32")
          elif self.output_op == "softmax":
              out = paddle.nn.functional.softmax(out, axis=1)
          new_outs.append(out)
      return new_outs
  
file_path: PaddleSeg/contrib/CityscapesSOTA/export.py
imports: import argparse
  import os
  import paddle
  import yaml
  from paddleseg.cvlibs import Config, SegBuilder
  from paddleseg.utils import logger
  import datasets, models
label_desc: Use image node_id 2 for calling the SavedSegmentationNet obj's underlying member method code with example usage: obj.forward(x) and returns: new_outs