code: def hard_mish_jit_bwd(x, grad_output):
      m = torch.ones_like(x) * (x >= -2.0)
      m = torch.where((x >= -2.0) & (x <= 0.0), x + 1.0, m)
      return grad_output * m
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 14 for calling a global function with example usage: hard_mish_jit_bwd(x, grad_output) and returns: unknown