class_docstr: Transformer classifier, an fc layer.
class_docstr_tok: ["Transformer","classifier",",","an","fc","layer","."]
code: def __init__(self, w_in, num_classes):
      super().__init__()
      self.head_fc = linear(w_in, num_classes, bias=True)
  
imports: import math
  import numpy
  import torch
  from pycls.core.config import cfg
  from pycls.models.blocks import activation, conv2d, conv2d_cx, layernorm, layernorm_cx, linear, linear_cx, MultiheadAttention, norm2d, norm2d_cx, patchify2d, patchify2d_cx
  from torch.nn import init, Module, Parameter
label_desc: Use image node_id 1 to create a new ViTHead object from inherited base classes: Module with example: obj = ViTHead(w_in, num_classes)