class_docstr: Loss carried out lazily to avoid unnecessary communication
code: def __init__(self, ctx, group, rank_a, rank_b, phe_cipher, dz, z):
      self.ctx = ctx
      self.group = group
      self.rank_a = rank_a
      self.rank_b = rank_b
      self.phe_cipher = phe_cipher
      self.dz = dz
      self.z = z
  
imports: import typing
  import torch
  from fate.arch.context import Context
  from fate.arch.protocol.mpc.common.encoding import IgnoreEncodings
  from fate.arch.protocol.mpc.mpc import FixedPointEncoder
  from fate.arch.trace import auto_trace
label_desc: Use image node_id 1 to create a new SSHESSHELinearRegressionLossLayerLazyLoss object  with example: obj = SSHESSHELinearRegressionLossLayerLazyLoss(ctx, group, rank_a, rank_b, phe_cipher, dz, z)