class_docstr: Image to Patch Embedding
code: def forward(self, x):
      x = self.proj(x)
      _, _, H, W = x.shape
      x = x.flatten(2).transpose(1, 2)
      x = self.norm(x)
  
      return x, H, W
  
imports: import math
  from functools import partial
  from typing import Optional
  import torch
  import torch.nn
  from pytorch_toolbelt.modules.interfaces import AbstractEncoder, FeatureMapsSpecification
  from pytorch_toolbelt.modules.activations import instantiate_activation_block, ACT_GELU
  from pytorch_toolbelt.modules.drop_path import DropPath
label_desc: Use image node_id 4 for calling the OverlapPatchEmbed obj's underlying member method code with example usage: obj.forward(x) and returns: x,  H,  W