docstr: PTL hook: https://pytorch-lightning.readthedocs.io/en/latest/common/lightning_module.html#transfer-batch-to-device
  When using pipeline parallelism, we need the global batch to remain on the CPU,
  since the memory overhead will be too high when using a large number of microbatches.
  Microbatches are transferred from CPU to GPU inside the pipeline.
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code: def transfer_batch_to_device(
      self, batch: Any, device: torch.device, dataloader_idx: int
  ) -> Any:
      """PTL hook: https://pytorch-lightning.readthedocs.io/en/latest/common/lightning_module.html#transfer-batch-to-device
      When using pipeline parallelism, we need the global batch to remain on the CPU,
      since the memory overhead will be too high when using a large number of microbatches.
      Microbatches are transferred from CPU to GPU inside the pipeline.
      """
      return batch
  
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 17 for calling the MegatronImagen obj's underlying member method code with example usage: obj.transfer_batch_to_device(batch, device, dataloader_idx) and returns: batch