class_docstr: A highly optimized equivalent of labda x: Entmax15([x, 0])
class_docstr_tok: ["A","highly","optimized","equivalent","of","labda","x",":","Entmax15","(","[","x",",","0","]",")"]
code: def forward(ctx, input):
      output = Entmoid15._forward(input)
      ctx.save_for_backward(output)
      return output
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.autograd import Function
  from torch.jit import script
label_desc: Use image node_id 1 for calling the Entmoid15 obj's underlying member method code with example usage: obj.forward(ctx, input) and returns: output