class_docstr: Image to Patch Embedding
      
code: def forward(self, x):
      x = self.proj(x)
      x = x.permute(0, 2, 3, 1)
      x = self.norm(x)
      return x
  
imports: import math
  from typing import Tuple, List, Callable, Union
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import DropPath, to_2tuple, to_ntuple, trunc_normal_, LayerNorm, use_fused_attn
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 2 for calling the OverlapPatchEmbed obj's underlying member method code with example usage: obj.forward(x) and returns: x