class_docstr: Megatron T5 pretraining
class_docstr_tok: ["Megatron","T5","pretraining"]
code: def __init__(self, cfg: DictConfig, trainer: Trainer):
      super().__init__(cfg, trainer=trainer)
  
      # validate cfg
      self._validate_cfg()
  
imports: import enum
  import math
  from omegaconf.dictconfig import DictConfig
  from pytorch_lightning.trainer.trainer import Trainer
  from nemo.collections.nlp.data.language_modeling.megatron.dataset_utils import build_train_valid_test_datasets
  from nemo.collections.nlp.models.language_modeling.megatron_lm_encoder_decoder_model import MegatronLMEncoderDecoderModel
  from nemo.utils import logging
label_desc: Use image node_id 1 to create a new MegatronT5Model object from inherited base classes: MegatronLMEncoderDecoderModel with example: obj = MegatronT5Model(cfg, trainer)