code: def test_no_embedding_layer():
      # Test case 3: Embedding layer is not present
      no_embedding_model = torch.nn.Sequential(
          torch.nn.Linear(10, 10), torch.nn.Linear(10, 10)
      )
      embedding_layer, path = find_embedding_layer_with_path(
          no_embedding_model
      )
      assert embedding_layer is None
      assert path is None
  
imports: import pytest
  import torch
  from transformers import AutoModelForCausalLM
  from ludwig.utils.model_utils import contains_nan_or_inf_tensors, extract_tensors, find_embedding_layer_with_path, replace_tensors
label_desc: Use image node_id 5 for calling a global function with example usage: test_no_embedding_layer() without return types