code: def train_post_transforms(self, context: Context):
      return [
          EnsureTyped(keys="pred", device=context.device),
          Activationsd(keys="pred", softmax=True),
          AsDiscreted(
              keys=("pred", "label"),
              argmax=(True, False),
              to_onehot=len(self._labels) + 1,
          ),
      ]
  
imports: import logging
  import torch
  from lib.transforms.transforms import ConcatenateROId, GaussianSmoothedCentroidd, GetCentroidsd, SelectVertebraAndCroppingd
  from monai.handlers import TensorBoardImageHandler, from_engine
  from monai.inferers import SimpleInferer
  from monai.losses import DiceCELoss
  from monai.transforms import Activationsd, AsDiscreted, EnsureChannelFirstd, EnsureTyped, GaussianSmoothd, LoadImaged, RandScaleIntensityd, RandShiftIntensityd, Resized, ScaleIntensityd, ScaleIntensityRanged, SelectItemsd
  from monailabel.tasks.train.basic_train import BasicTrainTask, Context
  from monailabel.tasks.train.utils import region_wise_metrics
label_desc: Use image node_id 8 for calling the SegmentationVertebra obj's underlying member method code with example usage: obj.train_post_transforms(context) and returns: list