class_docstr: BasicHead. No pool.
class_docstr_tok: ["BasicHead",".","No","pool","."]
code: def relprop(self, cam, **kwargs):
      if not self.training:
          cam = self.act.relprop(cam, **kwargs)
      cam = self.projection.relprop(cam, **kwargs)
      if hasattr(self, "dropout"):
          cam = self.dropout.relprop(cam, **kwargs)
      return cam
  
imports: import math
  from functools import partial
  from typing import Tuple, List
  import numpy
  import torch
  from torch import nn
  from torch.nn.init import trunc_normal_
  from einops import rearrange
  from towhee.models.layers.layers_with_relprop import GELU, Linear, Dropout, Conv2d, Conv3d, Softmax, Sigmoid, LayerNorm, Einsum, Add, Clone, MaxPool3d, IndexSelect
label_desc: Use image node_id 3 for calling the TransformerBasicHead obj's underlying member method code with example usage: obj.relprop(cam) and returns: cam