code: def forward(self, x, q_global: Optional[torch.Tensor] = None):
      x = x + self.drop_path1(
          self.ls1(self._window_attn(self.norm1(x), q_global))
      )
      x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x))))
      return x
  
imports: import math
  from functools import partial
  from typing import Callable, List, Optional, Tuple, Union
  import torch
  import torch.nn
  import torch.utils.checkpoint
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import DropPath, to_2tuple, to_ntuple, Mlp, ClassifierHead, LayerNorm2d, get_attn, get_act_layer, get_norm_layer, RelPosBias, _assert
  from ._builder import build_model_with_cfg
  from ._features_fx import register_notrace_function
  from ._manipulate import named_apply
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 3 for calling the GlobalContextVitBlock obj's underlying member method code with example usage: obj.forward(x, q_global) and returns: x