code: def forward(self, x):
      out = self.conv2d_list[0](x)
      for i in range(len(self.conv2d_list) - 1):
          out += self.conv2d_list[i + 1](x)
          return out
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the ClassifierModule obj's underlying member method code with example usage: obj.forward(x) and returns: out