code: def assert_almost_equals(
      self, a: np.ndarray, b: np.ndarray, tol: float
  ):
      diff = np.abs((a - b)).max()
      self.assertLessEqual(
          diff,
          tol,
          f"Difference between torch and tf is {diff} (>= {tol}).",
      )
  
imports: import copy
  import os
  import tempfile
  import unittest
  import numpy
  from transformers import is_tf_available, is_torch_available, is_vision_available
  from transformers.testing_utils import is_pt_tf_cross_test, require_tf, require_torch, require_vision, slow, torch_device
  from transformers.utils.generic import ModelOutput
  from ...test_modeling_tf_common import floats_tensor, ids_tensor
  from ..gpt2.test_modeling_tf_gpt2 import TFGPT2ModelTester
  from ..vit.test_modeling_tf_vit import TFViTModelTester
label_desc: Use image node_id 25 for calling the TFVisionEncoderDecoderMixin obj's underlying member method code with example usage: obj.assert_almost_equals(a, b, tol) without return types