code: def single_scale_forward(self, x):
      x_size = paddle.shape(x)[2:]
      cls_out, aux_out, ocr_mid_feats = self.ocrnet(x)
      attn = self.scale_attn(ocr_mid_feats)
  
      cls_out = nn.functional.interpolate(
          cls_out,
          size=x_size,
          mode="bilinear",
          align_corners=self.align_corners,
      )
      aux_out = nn.functional.interpolate(
          aux_out,
          size=x_size,
          mode="bilinear",
          align_corners=self.align_corners,
      )
      attn = nn.functional.interpolate(
          attn,
          size=x_size,
          mode="bilinear",
          align_corners=self.align_corners,
      )
  
      return {
          "cls_out": cls_out,
          "aux_out": aux_out,
          "logit_attn": attn,
      }
  
file_path: PaddleSeg/contrib/CityscapesSOTA/models/mscale_ocrnet.py
imports: import math
  import paddle
  import paddle.nn
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.utils import utils
  from paddleseg.models import layers
  from .ocrnet_nv import OCRNetNV
label_desc: Use image node_id 5 for calling the MscaleOCRNet obj's underlying member method code with example usage: obj.single_scale_forward(x) and returns: dict