class_docstr: Test suite for the 'has_nan_or_inf_tensors' function, which checks for NaN or infinity (inf) values in
  PyTorch tensors.
code: def setup(self):
      self.model_with_nan_or_inf = self.SampleModel()
      self.model_without_nan_or_inf = self.SampleModel()
      self.transformer_model = AutoModelForCausalLM.from_pretrained(
          "HuggingFaceM4/tiny-random-LlamaForCausalLM"
      )
  
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 for calling the TestHasNanOrInfTensors obj's underlying member method code with example usage: obj.setup() without return types