code: def test_equal_activation(self) -> None:
      with tempfile.TemporaryDirectory() as tmpdir:
          num_features = 4
          low, high = 0, 16
          mymodel = BasicLinearReLULinear(num_features)
          mydata = RangeDataset(low, high, num_features)
          layers: List[str] = [
              value[0] for value in mymodel.named_modules() if value[0]
          ]
  
          # First AV generation on last 2 layers
          test_input = mydata[1].unsqueeze(0)
          model_id = "id_1"
          identifier = "test"
          num_id = "0"
          AV._compute_and_save_activations(
              tmpdir,
              mymodel,
              model_id,
              layers[2],
              test_input,
              identifier,
              num_id,
          )
          act_dataset = AV.load(
              tmpdir, model_id, identifier, layers[2], num_id
          )
          _layer_act = [
              act.squeeze(0) for act in DataLoader(act_dataset)
          ]
          act = torch.cat(_layer_act)
          out = mymodel(test_input)
          assertTensorAlmostEqual(self, out, act)
  
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 14 for calling the Test obj's underlying member method code with example usage: obj.test_equal_activation() without return types