code: def __init__(self):
      super().__init__()
      self.conv = torch.nn.Conv2d(
          3, 64, kernel_size=3, stride=1, padding=1
      )
      self.relu = torch.nn.ReLU()
  
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 SampleModel object from inherited base classes: torch.nn with example: obj = SampleModel()