code: def hard_mish(x, inplace: bool = False):
      """Hard Mish
      Experimental, based on notes by Mish author Diganta Misra at
        https://github.com/digantamisra98/H-Mish/blob/0da20d4bc58e696b6803f2523c58d3c8a82782d0/README.md
      """
      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: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 7 for calling a global function with example usage: hard_mish(x, inplace) and returns: x, unknown