code: def __init__(self, D, K):
      super(Encoding, self).__init__()
      # init codewords and smoothing factor
      self.D, self.K = D, K
      self.codewords = nn.Parameter(
          torch.Tensor(K, D), requires_grad=True
      )
      self.scale = nn.Parameter(torch.Tensor(K), requires_grad=True)
      self.reset_params()
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pywick.models.segmentation.da_basenets.segbase import SegBaseModel
  from pywick.models.segmentation.da_basenets.fcn import _FCNHead
label_desc: Use image node_id 1 to create a new Encoding object from inherited base classes: nn with example: obj = Encoding(D, K)