code: def __init__(self, dim, num_tokens_out):
      super().__init__()
      self.scale = dim**-0.5
      self.norm = nn.LayerNorm(dim)
      self.queries = nn.Parameter(torch.randn(num_tokens_out, dim))
  
imports: import torch
  from torch import nn
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange, Reduce
label_desc: Use image node_id 1 to create a new PatchMerger object from inherited base classes: nn with example: obj = PatchMerger(dim, num_tokens_out)