code: def de_wide_resnet101_2() -> ResNet:
      """Wide ResNet-101-2 model."""
      return _resnet(
          DecoderBottleneck, [3, 4, 23, 3], width_per_group=128
      )
  
imports: from __future__ import annotations
  from typing import Any, Callable
  from torch import Tensor, nn
  from torchvision.models.resnet import conv1x1, conv3x3
label_desc: Use image node_id 10 for calling a global function with example usage: de_wide_resnet101_2() and returns: _resnet