class_docstr: Fake version of TensorQuantFunction
  See comments of TensorQuantFunction, arguments are the same.
class_docstr_tok: ["Fake","version","of","TensorQuantFunction","See","comments","of","TensorQuantFunction",",","arguments","are","the","same","."]
code: def backward(ctx, grad_outputs):
      inputs, amax = ctx.saved_tensors
      zero = grad_outputs.new_zeros(1)
      grad_inputs = torch.where(
          inputs.abs() <= amax, grad_outputs, zero
      )
      return grad_inputs, None, None, None, None
  
imports: import numpy
  import yaml
  import logging
  import torch
  from torch.autograd import Function
label_desc: Use image node_id 2 for calling the FakeTensorQuantFunction obj's underlying member method code with example usage: obj.backward(ctx, grad_outputs) and returns: grad_inputs,  None,  None,  None,  None