code: def __init__(self, c):
      super().__init__()
      self.l1 = L1LossMasked(False)
      self.ssim = SSIMLoss()
      self.huber = Huber()
  
      self.ssim_alpha = c.ssim_alpha
      self.huber_alpha = c.huber_alpha
      self.l1_alpha = c.l1_alpha
  
imports: import math
  import numpy
  import torch
  from torch import nn
  from inspect import signature
  from torch.nn import functional
  from TTS.tts.utils.generic_utils import sequence_mask
  from TTS.tts.utils.ssim import ssim
label_desc: Use image node_id 1 to create a new SpeedySpeechLoss object from inherited base classes: nn with example: obj = SpeedySpeechLoss(c)