code: def mish_jit_bwd(x, grad_output):
      x_sigmoid = torch.sigmoid(x)
      x_tanh_sp = F.softplus(x).tanh()
      return grad_output.mul(
          x_tanh_sp + x * x_sigmoid * (1 - x_tanh_sp * x_tanh_sp)
      )
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 5 for calling a global function with example usage: mish_jit_bwd(x, grad_output) and returns: grad_output