class_docstr: A memory efficient, jit-scripted HardSwish activation
class_docstr_tok: ["A","memory","efficient",",","jit-scripted","HardSwish","activation"]
code: def forward(ctx, x):
      ctx.save_for_backward(x)
      return hard_swish_jit_fwd(x)
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 for calling the HardSwishJitAutoFn obj's underlying member method code with example usage: obj.forward(ctx, x) and returns: hard_swish_jit_fwd