code: def forward(self, x):
      f = self.f
      f = f[None, None, :] * f[None, :, None]
      return filter2d(x, f, normalized=True)
  
imports: import math
  from functools import partial
  from math import log2
  from typing import List
  import torch
  import torch.nn.functional
  from einops import rearrange
  from kornia.filters import filter2d
  from nemo.collections.tts.parts.utils.helpers import mask_sequence_tensor
label_desc: Use image node_id 2 for calling the Blur obj's underlying member method code with example usage: obj.forward(x) and returns: filter2d