code: def __init__(self, in_features: int, up_scale: int) -> None:
      super().__init__()
      self.up_factor = 2
      self.constant_features = 16
  
      layers = self.make_deconv_layers(in_features, up_scale)
      KORNIA_CHECK(layers is not None, "layers cannot be none")
      self.features = nn.Sequential(*layers)
  
imports: from __future__ import annotations
  from collections import OrderedDict
  from typing import Optional
  import torch
  import torch.nn.functional
  from torch import nn
  from kornia.core import Module, Tensor, concatenate
  from kornia.core.check import KORNIA_CHECK
  from kornia.utils import map_location_to_cpu
label_desc: Use image node_id 1 to create a new UpConvBlock object from inherited base classes: Module with example: obj = UpConvBlock(in_features, up_scale)