code: def __init__(self, n_filters):
      super().__init__()
      self.upscaling_conv = nn.Conv2d(
          n_filters, 4 * n_filters, kernel_size=3, padding=1
      )
      self.upscaling_shuffler = nn.PixelShuffle(2)
      self.upscaling = nn.PReLU(n_filters)
      _initialize_orthogonal(self.upscaling_conv)
  
file_path: pytorch/test/onnx/model_defs/srresnet.py
imports: import math
  from torch import nn
  from torch.nn import init
label_desc: Use image node_id 1 to create a new UpscaleBlock object from inherited base classes: nn with example: obj = UpscaleBlock(n_filters)