code: def forward(self, in_feat_list):
      x = in_feat_list[-1]
  
      x = self.conv_v(x) * self.interp(
          self.conv_w(x), paddle.shape(x)[2:]
      )
      y = self.conv_t(x)
  
      for idx, conv, conv_up in zip(
          self.indices, self.convs, self.conv_ups
      ):
          feat = in_feat_list[idx]
          y = self.interp(y, paddle.shape(feat)[2:])
          y = paddle.concat([y, conv(feat)], axis=1)
          y = conv_up(y)
  
      y = self.conv_out(y)
      return y
  
file_path: PaddleSeg/paddleseg/models/lraspp.py
imports: from functools import partial
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
label_desc: Use image node_id 2 for calling the LRASPPHead obj's underlying member method code with example usage: obj.forward(in_feat_list) and returns: y