code: def forward(self, x):
      up = nn.functional.interpolate(
          x, scale_factor=self.stride, mode="nearest"
      )
      return self.conv(up)
  
imports: import functools
  from math import sqrt
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torchaudio
  from einops import rearrange
label_desc: Use image node_id 2 for calling the UpsampledConv obj's underlying member method code with example usage: obj.forward(x) and returns: self