code: def ResNeXt29_8x64d():
      return ResNeXt(
          num_blocks=[3, 3, 3], cardinality=8, bottleneck_width=64
      )
  
file_path: nni/examples/trials/cifar10_pytorch/models/resnext.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 3 for calling a global function with example usage: ResNeXt29_8x64d() and returns: ResNeXt