class_docstr: Implementation of Pre-activation (v2) ResNet mode.
      
class_docstr_tok: ["Implementation","of","Pre-activation","(","v2",")","ResNet","mode","."]
code: def get_classifier(self):
      return self.head.fc
  
imports: from collections import OrderedDict
  from functools import partial
  import torch
  import torch.nn
  from timm.data import IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
  from timm.layers import GroupNormAct, BatchNormAct2d, EvoNorm2dS0, FilterResponseNormTlu2d, ClassifierHead, DropPath, AvgPool2dSame, create_pool2d, StdConv2d, create_conv2d, get_act_layer, get_norm_act_layer, make_divisible
  from ._builder import build_model_with_cfg
  from ._manipulate import checkpoint_seq, named_apply, adapt_input_conv
  from ._registry import generate_default_cfgs, register_model, register_model_deprecations
label_desc: Use image node_id 6 for calling the ResNetV2 obj's underlying member method code with example usage: obj.get_classifier() and returns: self