code: def __init__(
      self, pred_len, nhead, dropout=0.1, output_attention=False
  ):
      super().__init__()
      self.pred_len = pred_len
      self.nhead = nhead
      self.output_attention = output_attention
      self._damping_factor = nn.Parameter(torch.randn(1, nhead))
      self.dropout = nn.Dropout(dropout)
  
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 DampingLayer object from inherited base classes: nn with example: obj = DampingLayer(pred_len, nhead, dropout, output_attention)