code: def __init__(self, in_channels, out_channels, ratio=2):
      super(Upsample2D, self).__init__()
      self.conv = nn.Conv2d(
          in_channels=in_channels,
          out_channels=out_channels,
          bias=False,
          kernel_size=3,
          stride=1,
          padding=1,
      )
      self.relu = nn.ReLU()
      self.ratio = ratio
  
file_path: ARKitScenes/depth_upsampling/models/mspf/blocks/multi_scale_depth.py
imports: import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 1 to create a new Upsample2D object from inherited base classes: nn with example: obj = Upsample2D(in_channels, out_channels, ratio)