docstr: Unpack input data from the dataloader and perform necessary pre-processing steps.
  Parameters:
      input: a dictionary that contains the data itself and its metadata information.
code: def set_input(self, data, device):
      """Unpack input data from the dataloader and perform necessary pre-processing steps.
      Parameters:
          input: a dictionary that contains the data itself and its metadata information.
      """
      data = data.to(device)
      self.input = data
      self.labels = data.y
      self.batch_idx = data.batch
  
file_path: torch-points3d/torch_points3d/models/segmentation/base.py
imports: import logging
  import torch
  import torch.nn.functional
  from typing import Any
  from torch_points3d.models.base_architectures import UnetBasedModel
  from torch_points3d.datasets.segmentation import IGNORE_LABEL
label_desc: Use image node_id 2 for calling the Segmentation_MP obj's underlying member method code with example usage: obj.set_input(data, device) without return types