class_docstr: Class that implements the Gated Linear Unit (GLU) activation function.
  
  The GLU activation function is a variant of the Leaky ReLU activation function,
  where the output of the activation function is gated by an input tensor.
code: def __init__(self, slope: float):
      super().__init__()
      self.lrelu = nn.LeakyReLU(slope)
  
imports: import math
  from typing import Tuple
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from TTS.tts.layers.delightful_tts.conv_layers import ConvNorm
label_desc: Use image node_id 1 to create a new GLUActivation object from inherited base classes: nn with example: obj = GLUActivation(slope)