code: def test_token_merging_shapes(dim: int, window: int) -> None:
      # Set the batch_size B and sequence length N.
      B, N = 2, 65
      x = torch.ones(B, N, dim)
      key_padding_mask = torch.zeros([B, N])
      # Mask values at and beyond 33.
      key_padding_mask[0, 33:] = float("-inf")
      x[0, 33:] = 10e6
  
      t = token_merging.TokenMerging(dim, window)
      y, key_padding_mask = t(x, key_padding_mask)
  
      assert y.shape == (B, math.ceil(N / window), dim)
  
imports: import math
  import pytest
  import torch
  from cvnets.layers import token_merging
label_desc: Use image node_id 3 for calling a global function with example usage: test_token_merging_shapes(dim, window) without return types