code: def __init__(self, dim_in, dim_out, stride=2):
      super().__init__()
      kernel_size = stride * 2 - 1
      padding = kernel_size // 2
      self.conv = nn.Conv2d(
          dim_in, dim_out, kernel_size, stride=stride, padding=padding
      )
  
imports: from functools import partial
  import torch
  from torch import nn, einsum
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange, Reduce
label_desc: Use image node_id 1 to create a new OverlappingPatchEmbed object from inherited base classes: nn with example: obj = OverlappingPatchEmbed(dim_in, dim_out, stride)