code: def backward(ctx, grad):
      return grad * ctx.scale, None
  
imports: import logging
  from typing import List, Optional, Tuple
  import torch
  from torch import nn, Tensor
  from torch.nn import Module, Parameter
  from .wavlm_attention import WavLMSelfAttention
label_desc: Use image node_id 2 for calling the GradMultiply obj's underlying member method code with example usage: obj.backward(ctx, grad) and returns: unknown,  None