code: def _test():
      """
      #### Code to test the FTA module
      """
      from labml.logger import inspect
  
      # Initialize
      a = FTA(-10, 10, 2.0, 0.5)
      # Print $\mathbf{c}$
      inspect(a.c)
      # Print number of bins $\frac{u - l}{\delta}$
      inspect(a.expansion_factor)
  
      # Input $z$
      z = torch.tensor(
          [1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.0, 10.0, 11.0]
      )
      # Print $z$
      inspect(z)
      # Print $\phi_\eta(z)$
      inspect(a(z))
  
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 1 for calling a global function with example usage: _test() without return types