code: def xse_resnext50_deeper(n_out=1000, pretrained=False, **kwargs):
      return XResNet(
          SEResNeXtBlock,
          4,
          [3, 4, 4, 2, 2, 1, 1, 1],
          n_out=n_out,
          **se_kwargs2,
          **kwargs,
      )
  
imports: from __future__ import annotations
  from ...torch_basics import *
label_desc: Use image node_id 33 for calling a global function with example usage: xse_resnext50_deeper(n_out, pretrained) and returns: XResNet