code: def __init__(
      self, eager_encoder: TransformerSentenceEncoderModule
  ) -> None:
      super().__init__()
      assert hasattr(eager_encoder, "traceable")
      assert eager_encoder.traceable
      self.eager_encoder = eager_encoder
      log_class_usage(__class__)
  
file_path: pytext/pytext/models/representations/traced_transformer_encoder.py
imports: from typing import Tuple
  import torch
  import torch.cuda
  import torch.nn
  from fairseq.modules import TransformerSentenceEncoder
  from pytext.utils.usage import log_class_usage
label_desc: Use image node_id 1 to create a new TraceableTransformerWrapper object from inherited base classes: nn with example: obj = TraceableTransformerWrapper(eager_encoder)