code: def forward(self, x):
      outs = self.net(x)
      outputs = []
      for out in outs:
          out = paddle.nn.functional.softmax(out, axis=1)
          outputs.append(out)
      return outputs
  
file_path: PaddleSeg/contrib/MedicalSeg/nnunet/export.py
imports: import argparse
  import os
  import pickle
  import sys
  import paddle
  import yaml
  from medicalseg.cvlibs import Config
  from medicalseg.utils import logger
  import nnunet
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: outputs