code: def val_inferer(self, context: Context):
      return SlidingWindowInferer(
          roi_size=self.roi_size,
          sw_batch_size=2,
          overlap=0.4,
          padding_mode="replicate",
          mode="gaussian",
      )
  
imports: import logging
  import torch
  from lib.transforms.transforms import NormalizeLabelsInDatasetd
  from monai.handlers import TensorBoardImageHandler, from_engine
  from monai.inferers import SlidingWindowInferer
  from monai.losses import DiceCELoss
  from monai.transforms import Activationsd, AsDiscreted, CropForegroundd, EnsureChannelFirstd, EnsureTyped, GaussianSmoothd, LoadImaged, NormalizeIntensityd, Orientationd, RandSpatialCropd, ScaleIntensityd, SelectItemsd, Spacingd
  from monailabel.tasks.train.basic_train import BasicTrainTask, Context
  from monailabel.tasks.train.utils import region_wise_metrics
label_desc: Use image node_id 10 for calling the Segmentation obj's underlying member method code with example usage: obj.val_inferer(context) and returns: SlidingWindowInferer