code: def test_correctness(self) -> None:
      D = 4
      B = 3
      keys = [
          "f1",
          "f2",
          "f3",
          "f4",
      ]
      F = len(keys)
      inter_arch = InteractionArch(num_sparse_features=F)
      torch.manual_seed(0)
  
      dense_features = torch.rand((B, D))
      sparse_features = torch.rand((B, F, D))
  
      concat_dense = inter_arch(dense_features, sparse_features)
      #  B X (D + F + F choose 2)
      self.assertEqual(concat_dense.size(), (B, D + F + choose(F, 2)))
  
      expected = torch.tensor(
          [
              [
                  0.4963,
                  0.7682,
                  0.0885,
                  0.1320,
                  0.2353,
                  1.0123,
                  1.1919,
                  0.7220,
                  0.3444,
                  0.7397,
                  0.4015,
                  1.5184,
                  0.8986,
                  1.2018,
              ],
              [
                  0.3074,
                  0.6341,
                  0.4901,
                  0.8964,
                  1.2787,
                  0.3275,
                  1.6734,
                  0.6325,
                  0.2089,
                  1.2982,
                  0.3977,
                  0.4200,
                  0.2475,
                  0.7834,
              ],
              [
                  0.4556,
                  0.6323,
                  0.3489,
                  0.4017,
                  0.8195,
                  1.1181,
                  1.0511,
                  0.4919,
                  1.6147,
                  1.0786,
                  0.4264,
                  1.3576,
                  0.5860,
                  0.6559,
              ],
          ]
      )
  
      self.assertTrue(
          torch.allclose(
              concat_dense,
              expected,
              rtol=1e-4,
              atol=1e-4,
          )
      )
  
imports: import unittest
  import torch
  from torch import nn
  from torch.testing import FileCheck
  from torchrec.datasets.utils import Batch
  from torchrec.fx import symbolic_trace
  from torchrec.models.dlrm import choose, DenseArch, DLRM, DLRM_DCN, DLRM_Projection, DLRMTrain, InteractionArch, InteractionDCNArch, InteractionProjectionArch, SparseArch
  from torchrec.modules.crossnet import LowRankCrossNet
  from torchrec.modules.embedding_configs import EmbeddingBagConfig
  from torchrec.modules.embedding_modules import EmbeddingBagCollection
  from torchrec.sparse.jagged_tensor import KeyedJaggedTensor
label_desc: Use image node_id 5 for calling the InteractionArchTest obj's underlying member method code with example usage: obj.test_correctness() without return types