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 itertools
  from datetime import datetime
  from functools import partial
  from typing import Any
  import torch
  from omegaconf import DictConfig, open_dict
  from pytorch_lightning import Trainer
  from nemo.collections.multimodal.data.imagen.imagen_dataset import build_train_valid_datasets
  from nemo.collections.multimodal.models.text_to_image.imagen.precond import ContinousDDPMPrecond, EDMPrecond
  from nemo.collections.multimodal.modules.imagen.diffusionmodules.nets import EfficientUNetModel, UNetModel
  from nemo.collections.multimodal.modules.imagen.encoder.t5encoder import T5Encoder
  from nemo.collections.multimodal.modules.imagen.sampler.sampler import DDPMSampler, EDMSampler
  from nemo.collections.multimodal.parts.imagen.utils import random_dropout
  from nemo.collections.nlp.models.language_modeling.megatron_base_model import MegatronBaseModel
  from nemo.collections.nlp.modules.common.megatron.module import Float16Module
  from nemo.collections.nlp.parts.utils_funcs import get_last_rank
  from nemo.core.classes.common import Serialization
  from nemo.utils import logging
label_desc: Use image node_id 18 for calling the MegatronImagen obj's underlying member method code with example usage: obj._validate_trainer() without return types