code: def test_av_load_one_batch(self) -> None:
      with tempfile.TemporaryDirectory() as tmpdir:
          av_0 = torch.randn(64, 16)
          av_1 = torch.randn(36, 16)
          avs = [av_0, av_1]
  
          # add av_0 to the list of activations
          model_id = "dummy"
          with self.assertRaises(RuntimeError) as context:
              AV.load(tmpdir, model_id)
          self.assertTrue(
              (
                  f"Activation vectors for model {model_id} "
                  f"was not found at path {tmpdir}"
              )
              == str(context.exception)
          )
  
          AV.save(
              tmpdir,
              "dummy",
              DEFAULT_IDENTIFIER,
              "layer1.0.conv1",
              av_0,
              "0",
          )
          model_id = "dummy"
          dataset = AV.load(
              tmpdir, model_id, identifier=DEFAULT_IDENTIFIER
          )
  
          for i, av in enumerate(DataLoader(cast(Dataset, dataset))):
              assertTensorAlmostEqual(self, av, avs[i].unsqueeze(0))
  
          # add av_1 to the list of activations
          dataloader_2 = DataLoader(
              cast(
                  Dataset,
                  AV.load(
                      tmpdir,
                      "dummy",
                      DEFAULT_IDENTIFIER,
                      "layer1.0.conv2",
                  ),
              )
          )
          self.assertEqual(len(dataloader_2), 0)
  
          AV.save(
              tmpdir,
              "dummy",
              DEFAULT_IDENTIFIER,
              "layer1.0.conv2",
              av_1,
              "0",
          )
          dataset = AV.load(
              tmpdir, "dummy", identifier=DEFAULT_IDENTIFIER
          )
  
          dataloader = DataLoader(cast(Dataset, dataset))
          self.assertEqual(len(dataloader), 2)
          for i, av in enumerate(dataloader):
              assertTensorAlmostEqual(self, av, avs[i].unsqueeze(0))
  
imports: import glob
  import tempfile
  from datetime import datetime
  from typing import cast, List
  import torch
  from captum._utils.av import AV
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicLinearReLULinear
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 8 for calling the Test obj's underlying member method code with example usage: obj.test_av_load_one_batch() without return types