code: def __init__(self, *, dim, dim_out, patch_size):
      super().__init__()
      self.dim = dim
      self.dim_out = dim_out
      self.patch_size = patch_size
  
      self.proj = nn.Sequential(
          LayerNorm(patch_size**2 * dim),
          nn.Conv2d(patch_size**2 * dim, dim_out, 1),
          LayerNorm(dim_out),
      )
  
imports: import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 1 to create a new PatchEmbedding object from inherited base classes: nn with example: obj = PatchEmbedding()