class_docstr: wrapper for torchscriptable Stem
class_docstr_tok: ["wrapper","for","torchscriptable","Stem"]
code: def __init__(self, *mod):
      super().__init__()
      self.mod = torch.nn.Sequential(*mod)
  
imports: from __future__ import annotations
  import datetime
  import warnings
  from typing import Optional
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from monai.networks.blocks.dints_block import ActiConvNormBlock, FactorizedIncreaseBlock, FactorizedReduceBlock, P3DActiConvNormBlock
  from monai.networks.layers.factories import Conv
  from monai.networks.layers.utils import get_act_layer, get_norm_layer
  from monai.utils import optional_import
label_desc: Use image node_id 1 to create a new StemTS object from inherited base classes: StemInterface with example: obj = StemTS()