class_docstr: A memory efficient, jit-scripted HardSwish activation
code: def backward(ctx, grad_output):
      x = ctx.saved_tensors[0]
      return hard_swish_jit_bwd(x, grad_output)
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the HardSwishJitAutoFn obj's underlying member method code with example usage: obj.backward(ctx, grad_output) and returns: hard_swish_jit_bwd