class_docstr: Context Manager to ignore tensor encodings
class_docstr_tok: ["Context","Manager","to","ignore","tensor","encodings"]
code: def __exit__(self, exc_type, exc_value, exc_traceback):
      for i, tensor in enumerate(self.list_of_tensors):
          tensor.encoder._scale = self.encodings_cache[i]
  
imports: import torch
  import fate.arch.protocol.mpc.communicator
  from fate.arch.protocol import mpc
  from fate.arch.protocol.mpc.common.util import count_wraps
  from fate.arch.protocol.mpc.config import cfg
label_desc: Use image node_id 3 for calling the IgnoreEncodings obj's underlying member method code with example usage: obj.__exit__(exc_type, exc_value, exc_traceback) without return types