code: def de_wide_resnet50_2() -> ResNet:
      """Wide ResNet-50-2 model."""
      return _resnet(
          DecoderBottleneck, [3, 4, 6, 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 9 for calling a global function with example usage: de_wide_resnet50_2() and returns: _resnet