code: def forward(self, inp):
      self.save_for_backward(inp)
      a = torch.ones_like(inp)
      b = torch.zeros_like(inp)
      output = torch.where(inp > 0, a, b)
      return output
  
file_path: dgl/examples/pytorch/hilander/PSS/Smooth_AP/src/losses.py
imports: import warnings
  import faiss
  import numpy
  import torch
  from scipy import sparse
label_desc: Use image node_id 1 for calling the BinarizedF obj's underlying member method code with example usage: obj.forward(inp) and returns: output