code: def ensure_equal_in_range(
      t: torch.Tensor, start: int, end: int
  ) -> None:
      """
      Ensure values of @t are equal from @start to @end, but not after @end.
  
      The tensor can have any number of dimensions greater than 0. The first
      dimension is the dimension indexed by @start and @end.
  
      Args:
          t: The tensor to check.
          start: The start index.
          end: The end index.
      """
      prototype = t[start]
      assert torch.all((prototype - t[start:end]).abs() < 1e-3)
      assert torch.all(prototype != t[end:])
  
imports: import argparse
  import torch
  from cvnets.modules import TransformerEncoder
label_desc: Use image node_id 2 for calling a global function with example usage: ensure_equal_in_range(t, start, end) without return types