class_docstr: Twins Vision Transfomer (Revisiting Spatial Attention)
  
  Adapted from PVT (PyramidVisionTransformer) class at https://github.com/whai362/PVT.git
code: def forward(self, x):
      x = self.forward_features(x)
      x = self.forward_head(x)
      return x
  
imports: import math
  from functools import partial
  from typing import Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import Mlp, DropPath, to_2tuple, trunc_normal_, use_fused_attn
  from ._builder import build_model_with_cfg
  from ._features_fx import register_notrace_module
  from ._registry import register_model, generate_default_cfgs
  from .vision_transformer import Attention
label_desc: Use image node_id 10 for calling the Twins obj's underlying member method code with example usage: obj.forward(x) and returns: x