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 forward(self, x: torch.Tensor) -> torch.Tensor:
      out, gate = x.chunk(2, dim=1)
      x = out * self.lrelu(gate)
      return x
  
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 2 for calling the GLUActivation obj's underlying member method code with example usage: obj.forward(x) and returns: x