code: def forward(self, x, size: Size_):
      B, N, C = x.shape
      cnn_feat_token = x.transpose(1, 2).view(B, C, *size)
      x = self.proj(cnn_feat_token)
      if self.stride == 1:
          x += cnn_feat_token
      x = x.flatten(2).transpose(1, 2)
      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 2 for calling the PosConv obj's underlying member method code with example usage: obj.forward(x, size) and returns: x