code: def __init__(self):
      super().__init__()
      self.embedding = torch.nn.Embedding(10, 20)
      self.rnn = torch.nn.LSTM(20, 30)
  
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 1 to create a new SampleModule object from inherited base classes: torch.nn with example: obj = SampleModule()