code: def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):
      n_channels_int = n_channels[0]
      in_act = input_a + input_b
      t_act = torch.tanh(in_act[:, :n_channels_int, :])
      s_act = torch.sigmoid(in_act[:, n_channels_int:, :])
      acts = t_act * s_act
      return acts
  
file_path: TTS/TTS/tts/layers/generic/wavenet.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 1 for calling a global function with example usage: fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels) and returns: acts