class_docstr: Vision Transformer
  A PyTorch impl of : `An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale`  -
      https://arxiv.org/abs/2010.11929
code: def load_pretrained(self, checkpoint_path, prefix=""):
      _load_weights(self, checkpoint_path, prefix)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from functools import partial
  from timm.models.vision_transformer import _cfg, PatchEmbed
  from timm.models.registry import register_model
  from timm.models.layers import trunc_normal_, DropPath
  from timm.models.helpers import named_apply, adapt_input_conv
  from fairscale.nn.checkpoint.checkpoint_activations import checkpoint_wrapper
  from lavis.models.base_model import BaseEncoder
label_desc: Use image node_id 5 for calling the VisionTransformer obj's underlying member method code with example usage: obj.load_pretrained(checkpoint_path, prefix) without return types