code: def test_custom_glu_calculation(self):
      activation = CustomGLU(nn.Identity())
  
      initial_shape = (4, 8, 8)
  
      part_a = torch.ones(initial_shape) * 2
      part_b = torch.ones(initial_shape) * -1
      input = torch.cat((part_a, part_b), dim=-1)
  
      output = activation(input)
  
      # ensure all dimensions match initial shape
      assert output.shape == initial_shape
      # ensure the gating was calculated correctly a * f(b)
      assert torch.all(output == -2).item()
  
imports: import torch
  from torch import nn
  from audiocraft.modules.activations import CustomGLU
label_desc: Use image node_id 1 for calling the TestActivations obj's underlying member method code with example usage: obj.test_custom_glu_calculation() without return types