code: def __init__(self, in_channels, up_scale):
      super(UpsampleBLock, self).__init__()
      self.conv = nn.Conv2D(
          in_channels,
          in_channels * up_scale**2,
          kernel_size=3,
          padding=1,
      )
  
      self.pixel_shuffle = nn.PixelShuffle(up_scale)
      self.prelu = mish()
  
imports: import math
  import paddle
  import paddle.nn.functional
  from paddle import nn
  from collections import OrderedDict
  import sys
  import numpy
  import warnings
  import math, copy
  import cv2
  from .tps_spatial_transformer import TPSSpatialTransformer
  from .stn import STN
  from ppocr.modeling.heads.sr_rensnet_transformer import Transformer
label_desc: Use image node_id 1 to create a new UpsampleBLock object from inherited base classes: nn with example: obj = UpsampleBLock(in_channels, up_scale)