class_docstr: module to replace FloatFunctional module before FX graph mode quantization,
  since activation_post_process will be inserted in top level module directly
  
  Valid operation names:
      - add
      - cat
      - mul
      - add_relu
      - add_scalar
      - mul_scalar
code: def add(self, x: Tensor, y: Tensor) -> Tensor:
      r = torch.add(x, y)
      return r
  
imports: from typing import List
  import torch
  from torch import Tensor
  from torch._ops import ops
label_desc: Use image node_id 2 for calling the FXFloatFunctional obj's underlying member method code with example usage: obj.add(x, y) and returns: r