class_docstr: ### Fuzzy Tiling Activations (FTA)
docstr: #### Fuzzy indicator function
  
  $$I_{\eta,+}(x) = I_+(\eta - x) x + I_+ (x - \eta)$$
docstr_tok: ["#","#","#","#","Fuzzy","indicator","function","$","$","I_","{","\\eta",",","+","}","(","x",")","=","I_+","(","\\eta","-","x",")","x","+","I_+","(","x","-","\\eta",")","$","$"]
code: def fuzzy_i_plus(self, x: torch.Tensor):
      """
      #### Fuzzy indicator function
  
      $$I_{\eta,+}(x) = I_+(\eta - x) x + I_+ (x - \eta)$$
      """
      return (x <= self.eta) * x + (x > self.eta)
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/activations/fta/__init__.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 2 for calling the FTA obj's underlying member method code with example usage: obj.fuzzy_i_plus(x) and returns: unknown