code: def rexnet_100(pretrained=False, **kwargs) -> RexNet:
      """ReXNet V1 1.0x"""
      return _create_rexnet("rexnet_100", pretrained, **kwargs)
  
imports: from functools import partial
  from math import ceil
  import torch
  import torch.nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import ClassifierHead, create_act_layer, ConvNormAct, DropPath, make_divisible, SEModule
  from ._builder import build_model_with_cfg
  from ._efficientnet_builder import efficientnet_init_weights
  from ._manipulate import checkpoint_seq
  from ._registry import generate_default_cfgs, register_model
label_desc: Use image node_id 5 for calling a global function with example usage: rexnet_100(pretrained) and returns: _create_rexnet