code: def forward(self, x):
      # (B, C, N) -> (B, C_1, N)
      x = self.net(x)
      x = x.permute(0, 2, 1)
      x = self.norm(x)
      x = x.permute(0, 2, 1)
  
      return x
  
imports: from abc import ABC, abstractmethod
  import torch
  import torch.nn
  import torch.nn.functional
  import math
  from .multimodal_encoder.builder import build_vision_tower
  import pdb
  from ferret.constants import IGNORE_INDEX, IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_PATCH_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
label_desc: Use image node_id 2 for calling the ConvReLULN1D obj's underlying member method code with example usage: obj.forward(x) and returns: x