code: def DeepLabV2_ResNet101_MSC(n_classes):
      return MSC(
          scale=DeepLabV2(
              num_classes=n_classes,
              n_blocks=[3, 4, 23, 3],
              pyramids=[6, 12, 18, 24],
          ),
          pyramids=[0.5, 0.75],
      )
  
file_path: pywick/pywick/models/segmentation/testnets/deeplabv2.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 1 for calling a global function with example usage: DeepLabV2_ResNet101_MSC(n_classes) and returns: MSC