code: def forward(self, input):
      return F.linear(
          input, self.weight * self.lr_mul, bias=self.bias * self.lr_mul
      )
  
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 EqualLinear obj's underlying member method code with example usage: obj.forward(input) and returns: F