code: def __init__(self, decoder_sess):
      super().__init__()
      self.decoder = decoder_sess
  
imports: from .huggingface_utils import get_auth_token
  from .ort_settings import get_onnx_runtime_sessions
  from .onnx_exporter import generate_onnx_representation, quantize, get_model_paths, saved_models_path
  from pathlib import Path
  from transformers import AutoConfig, MT5Config, T5ForConditionalGeneration
  from transformers.modeling_outputs import Seq2SeqLMOutput, BaseModelOutput
  import torch
  import functools
  import operator
label_desc: Use image node_id 1 to create a new T5Decoder object from inherited base classes: torch.nn with example: obj = T5Decoder(decoder_sess)