code: def srn_other_inputs(self, image_shape, num_heads, max_text_length):
      imgC, imgH, imgW = image_shape
      feature_dim = int((imgH / 8) * (imgW / 8))
  
      encoder_word_pos = (
          np.array(range(0, feature_dim))
          .reshape((feature_dim, 1))
          .astype("int64")
      )
      gsrm_word_pos = (
          np.array(range(0, max_text_length))
          .reshape((max_text_length, 1))
          .astype("int64")
      )
  
      gsrm_attn_bias_data = np.ones(
          (1, max_text_length, max_text_length)
      )
      gsrm_slf_attn_bias1 = np.triu(gsrm_attn_bias_data, 1).reshape(
          [-1, 1, max_text_length, max_text_length]
      )
      gsrm_slf_attn_bias1 = np.tile(
          gsrm_slf_attn_bias1, [1, num_heads, 1, 1]
      ).astype("float32") * [-1e9]
  
      gsrm_slf_attn_bias2 = np.tril(gsrm_attn_bias_data, -1).reshape(
          [-1, 1, max_text_length, max_text_length]
      )
      gsrm_slf_attn_bias2 = np.tile(
          gsrm_slf_attn_bias2, [1, num_heads, 1, 1]
      ).astype("float32") * [-1e9]
  
      encoder_word_pos = encoder_word_pos[np.newaxis, :]
      gsrm_word_pos = gsrm_word_pos[np.newaxis, :]
  
      return [
          encoder_word_pos,
          gsrm_word_pos,
          gsrm_slf_attn_bias1,
          gsrm_slf_attn_bias2,
      ]
  
imports: import os
  import sys
  from PIL import Image
  import cv2
  import numpy
  import math
  import time
  import traceback
  import paddle
  import tools.infer.utility
  from ppocr.postprocess import build_post_process
  from ppocr.utils.logging import get_logger
  from ppocr.utils.utility import get_image_file_list, check_and_read
label_desc: Use image node_id 5 for calling the TextRecognizer obj's underlying member method code with example usage: obj.srn_other_inputs(image_shape, num_heads, max_text_length) and returns: list