code: def forward(self, x):
      x = self.forward_features(x)
      # x = self.head(x)
  
      return x
  
imports: import math
  from functools import partial
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import paddle.nn.initializer
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 9 for calling the MixVisionTransformer obj's underlying member method code with example usage: obj.forward(x) and returns: x