code: def test_cosine_with_zeros(self) -> None:
      a = torch.cat(
          (torch.zeros((1, 3, 16, 16)), torch.rand((1, 3, 16, 16)))
      )
      b = torch.rand((2, 3, 16, 16))
      similarity = cosine_similarity(a, b)
      self.assertFalse(torch.any(torch.isnan(similarity)))
  
imports: import tempfile
  from typing import List
  import torch
  import torch.nn
  from captum.influence._core.similarity_influence import cosine_similarity, euclidean_distance, SimilarityInfluence
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 for calling the Test obj's underlying member method code with example usage: obj.test_cosine_with_zeros() without return types