code: def fused_add_tanh_sigmoid_multiply(
      self, 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
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 4 for calling the WN obj's underlying member method code with example usage: obj.fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels) and returns: acts