code: def update_flat_start_transition(model, transition_p):
      model.neural_hmm.output_net.parametermodel.flat_start_output_layer(
          0.0, 1.0, transition_p
      )
  
imports: from typing import List, Tuple
  import torch
  import torch.nn.functional
  from torch import nn
  from tqdm.auto import tqdm
  from TTS.tts.layers.tacotron.common_layers import Linear
  from TTS.tts.layers.tacotron.tacotron2 import ConvBNBlock
label_desc: Use image node_id 2 for calling the OverflowUtils obj's underlying member method code with example usage: obj.update_flat_start_transition(model, transition_p) without return types