code: def ResNet101(**args):
      model = ResNetMulti(
          Bottleneck, num_layers=[3, 4, 23, 3], **args
      )  # add pretrain
      return model
  
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 1 for calling a global function with example usage: ResNet101() and returns: model