code: def _clamp_min(image: Tensor, min: float) -> Tensor:
      """Min clamping but preserving gradients."""
      return _ClampMin.apply(image, min)
  
file_path: NeuralCompression/neuralcompression/layers/_simplified_gdn.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
label_desc: Use image node_id 1 for calling a global function with example usage: _clamp_min(image, min) and returns: _ClampMin