code: def forward(self, x):
      outputs = {}
      y = super(
          SwinTransformer_base_patch4_window7_384_maskformer, self
      ).forward(x)
      for i, k in enumerate(self._out_features):
          outputs[k] = y[i]
      return outputs
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 2 for calling the SwinTransformer_base_patch4_window7_384_maskformer obj's underlying member method code with example usage: obj.forward(x) and returns: outputs