code: def pytorch_simple_model_default_cpu_eagerpy_tensor(
      request: Any,
  ) -> ModelAndData:
      mean = 0.05 * ep.torch.arange(3).float32()
      std = ep.torch.ones(3) * 2
      return pytorch_simple_model(
          "cpu", preprocessing=dict(mean=mean, std=std, axis=-3)
      )
  
imports: from typing import Optional, Callable, Tuple, Dict, Any, List, NamedTuple
  import functools
  import pytest
  import eagerpy
  import foolbox
  import foolbox
label_desc: Use image node_id 8 for calling a global function with example usage: pytorch_simple_model_default_cpu_eagerpy_tensor(request) and returns: pytorch_simple_model