code: def DeepLabV3_ResNet101_MSC(n_classes, output_stride):
      if output_stride == 16:
          pyramids = [6, 12, 18]
      elif output_stride == 8:
          pyramids = [12, 24, 36]
      else:
          pass
  
      return MSC(
          scale=DeepLabV3(
              n_classes=n_classes,
              n_blocks=[3, 4, 23, 3],
              pyramids=pyramids,
              grids=[1, 2, 4],
              output_stride=output_stride,
          ),
          pyramids=[0.5, 0.75],
      )
  
file_path: pywick/pywick/models/segmentation/testnets/deeplabv3.py
imports: from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from .resnet import _ConvBatchNormReLU, _ResBlock
  from .msc import MSC
label_desc: Use image node_id 2 for calling a global function with example usage: DeepLabV3_ResNet101_MSC(n_classes, output_stride) and returns: MSC