code: def __init__(self, d_model, c_out, dropout=0.1):
      super().__init__()
      self.d_model = d_model
      self.c_out = c_out
  
      self.es = ExponentialSmoothing(
          1, self.c_out, dropout=dropout, aux=True
      )
      self.growth_pred = nn.Linear(self.d_model, self.c_out)
      self.season_pred = nn.Linear(self.d_model, self.c_out)
  
imports: import numpy
  import math
  from math import sqrt
  import os
  from scipy.fftpack import next_fast_len
  from merlion.models.utils.nn_modules.blocks import ExponentialSmoothing, conv1d_fft
label_desc: Use image node_id 1 to create a new LevelLayer object from inherited base classes: nn with example: obj = LevelLayer(d_model, c_out, dropout)