code: def hard_mish(x, inplace: bool = False):
      if inplace:
          return x.mul_(0.5 * (x + 2).clamp(min=0, max=2))
      else:
          return 0.5 * x * (x + 2).clamp(min=0, max=2)
  
imports: from torch import nn
label_desc: Use image node_id 1 for calling a global function with example usage: hard_mish(x, inplace) and returns: x, unknown