code: def __init__(self, in_chans, embed_dim=768, stride=1):
      super(PosConv, self).__init__()
      self.proj = nn.Sequential(
          nn.Conv2d(
              in_chans,
              embed_dim,
              3,
              stride,
              1,
              bias=True,
              groups=embed_dim,
          ),
      )
      self.stride = stride
  
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 1 to create a new PosConv object from inherited base classes: nn with example: obj = PosConv(in_chans, embed_dim, stride)