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 backward(ctx, grad_output):
      return Entmoid15._backward(ctx.saved_tensors[0], grad_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 3 for calling the Entmoid15 obj's underlying member method code with example usage: obj.backward(ctx, grad_output) and returns: Entmoid15