class_docstr: Based on https://github.com/jorge-pessoa/pytorch-gdn (MIT License).
class_docstr_tok: ["Based","on","https",":","\/\/github.com\/jorge-pessoa\/pytorch-gdn","(","MIT","License",")","."]
code: def backward(ctx, grad):
      data, min = ctx.saved_tensors
  
      return grad * ((data >= min) | (grad < 0.0))
  
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 2 for calling the _ClampMin obj's underlying member method code with example usage: obj.backward(ctx, grad) and returns: unknown