code: def _clamp_guard(self, feature: torch.Tensor):
      return torch.clamp(feature, min=self.guard_value)
  
imports: import json
  from abc import ABC, abstractmethod
  from pathlib import Path
  from typing import Optional
  import torch
  from nemo.utils.decorators import experimental
label_desc: Use image node_id 3 for calling the LogCompression obj's underlying member method code with example usage: obj._clamp_guard(feature) and returns: torch