class_docstr: Megatron encoder-decoder base class
class_docstr_tok: ["Megatron","encoder-decoder","base","class"]
docstr: Certain trainer configurations can break training.
  Here we try to catch them and raise an error.
docstr_tok: ["Certain","trainer","configurations","can","break","training",".","Here","we","try","to","catch","them","and","raise","an","error","."]
code: def _validate_trainer(self):
      """Certain trainer configurations can break training.
      Here we try to catch them and raise an error.
      """
      if self.trainer.accumulate_grad_batches > 1:
          raise ValueError(
              f"Gradient accumulation is done within training_step. trainer.accumulate_grad_batches must equal 1"
          )
  
imports: import copy
  import functools
  import inspect
  from typing import Any, Dict, List, Optional
  import torch
  from omegaconf import OmegaConf, open_dict
  from omegaconf.dictconfig import DictConfig
  from pytorch_lightning.accelerators import CPUAccelerator
  from pytorch_lightning.trainer.trainer import Trainer
  from nemo.collections.nlp.data.language_modeling.megatron.data_samplers import MegatronPretrainingRandomSampler, MegatronPretrainingSampler
  from nemo.collections.nlp.models.language_modeling.megatron_base_model import MegatronBaseModel
  from nemo.collections.nlp.modules.common.megatron.build_model import build_model
  from nemo.collections.nlp.modules.common.megatron.module import Float16Module
  from nemo.collections.nlp.modules.common.megatron.token_level_encoder_decoder import MegatronTokenLevelEncoderDecoderModule
  from nemo.collections.nlp.modules.common.megatron.utils import ApexGuardDefaults, average_losses_across_data_parallel_group, get_params_for_weight_decay_optimization
  from nemo.collections.nlp.modules.common.text_generation_utils import compute_beam_search_len_penalty, get_sampling_token_fn
  from nemo.collections.nlp.parts.utils_funcs import get_last_rank
  from nemo.utils import AppState, logging
label_desc: Use image node_id 42 for calling the MegatronLMEncoderDecoderModel obj's underlying member method code with example usage: obj._validate_trainer() without return types