class_docstr: Vision Transformere
class_docstr_tok: ["Vision","Transformere"]
code: def forward(self, x):
      x = self.forward_features(x)
      x = self.head(x)
      return x
  
imports: import logging
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils
  import torch.utils.checkpoint
  from einops import rearrange
  from fairscale.nn.checkpoint.checkpoint_activations import checkpoint_wrapper
  from .helpers import load_pretrained, load_pretrained_imagenet, load_pretrained_kinetics
  from .vit_utils import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, DropPath, to_2tuple, trunc_normal_
label_desc: Use image node_id 8 for calling the VisionTransformer obj's underlying member method code with example usage: obj.forward(x) and returns: x