code: def forward(self, pred, data):
      sr_img = pred["sr_img"]
      hr_img = pred["hr_img"]
  
      mse_loss = self.mse_loss(sr_img, hr_img)
      word_attention_map_gt = pred["word_attention_map_gt"]
      word_attention_map_pred = pred["word_attention_map_pred"]
  
      hr_pred = pred["hr_pred"]
      sr_pred = pred["sr_pred"]
  
      attention_loss = paddle.nn.functional.l1_loss(
          word_attention_map_gt, word_attention_map_pred
      )
  
      loss = (mse_loss + attention_loss * 50) * 100
  
      return {
          "mse_loss": mse_loss,
          "attention_loss": attention_loss,
          "loss": loss,
      }
  
file_path: PaddleOCR/ppocr/losses/stroke_focus_loss.py
imports: import cv2
  import sys
  import time
  import string
  import random
  import numpy
  import paddle.nn
  import paddle
label_desc: Use image node_id 2 for calling the StrokeFocusLoss obj's underlying member method code with example usage: obj.forward(pred, data) and returns: dict