更换了高精度的检测模型det和识别模型rec以后，cuda会报错: [Hint: 'CUDNN_STATUS_NOT_SUPPORTED'. The functionality requested is not presently supported by cuDNN. ]

[shiyutang]

import os
import cv2
from paddleocr import PPStructure,save_structure_res
from paddleocr.ppstructure.recovery.recovery_to_doc import sorted_layout_boxes, convert_info_docx

det_model_dir='./inference/detv4_teacher_inference'
rec_model_dir='./inference/ch_PP-OCRv4_rec_server_infer'

table_engine = PPStructure(recovery=True,det_model_dir=det_model_dir,rec_model_dir=rec_model_dir)

save_folder = './output/huifu'
img_path = '微信截图_20230810150058.png'
img = cv2.imread(img_path)
result = table_engine(img)
save_structure_res(result, save_folder, os.path.basename(img_path).split('.')[0])

for line in result:
    line.pop('img')
    print(line)

h, w, _ = img.shape
res = sorted_layout_boxes(result, w)
convert_info_docx(img, res, save_folder, os.path.basename(img_path).split('.')[0])

• 完整报错/Complete Error Message：

  root@38b3b7920d22:/app/test# python huifu.py 
  download https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_server_infer.tar to /root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_server_infer/ch_PP-OCRv4_det_server_infer.tar
  100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 116M/116M [01:43<00:00, 1.11MiB/s]
  download https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_server_infer.tar to /root/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_server_infer/ch_PP-OCRv4_rec_server_infer.tar
  100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 92.4M/92.4M [01:26<00:00, 1.07MiB/s]
  [2023/08/28 06:30:03] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=True, use_xpu=False, use_npu=False, ir_optim=True, use_tensorrt=False, min_subgraph_size=15, precision='fp32', gpu_mem=500, gpu_id=0, image_dir=None, page_num=0, det_algorithm='DB', det_model_dir='/root/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_server_infer', det_limit_side_len=960, det_limit_type='max', det_box_type='quad', det_db_thresh=0.3, det_db_box_thresh=0.6, det_db_unclip_ratio=1.5, max_batch_size=10, use_dilation=False, det_db_score_mode='fast', det_east_score_thresh=0.8, det_east_cover_thresh=0.1, det_east_nms_thresh=0.2, det_sast_score_thresh=0.5, det_sast_nms_thresh=0.2, det_pse_thresh=0, det_pse_box_thresh=0.85, det_pse_min_area=16, det_pse_scale=1, scales=[8, 16, 32], alpha=1.0, beta=1.0, fourier_degree=5, rec_algorithm='SVTR_LCNet', rec_model_dir='/root/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_server_infer', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='/usr/local/lib/python3.10/site-packages/paddleocr-2.7.0.1-py3.10.egg/paddleocr/ppocr/utils/ppocr_keys_v1.txt', use_space_char=True, vis_font_path='./doc/fonts/simfang.ttf', drop_score=0.5, e2e_algorithm='PGNet', e2e_model_dir=None, e2e_limit_side_len=768, e2e_limit_type='max', e2e_pgnet_score_thresh=0.5, e2e_char_dict_path='./ppocr/utils/ic15_dict.txt', e2e_pgnet_valid_set='totaltext', e2e_pgnet_mode='fast', use_angle_cls=False, cls_model_dir=None, cls_image_shape='3, 48, 192', label_list=['0', '180'], cls_batch_num=6, cls_thresh=0.9, enable_mkldnn=False, cpu_threads=10, use_pdserving=False, warmup=False, sr_model_dir=None, sr_image_shape='3, 32, 128', sr_batch_num=1, draw_img_save_dir='./inference_results', save_crop_res=False, crop_res_save_dir='./output', use_mp=False, total_process_num=1, process_id=0, benchmark=False, save_log_path='./log_output/', show_log=True, use_onnx=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir='/root/.paddleocr/whl/table/ch_ppstructure_mobile_v2.0_SLANet_infer', merge_no_span_structure=True, table_char_dict_path='/usr/local/lib/python3.10/site-packages/paddleocr-2.7.0.1-py3.10.egg/paddleocr/ppocr/utils/dict/table_structure_dict_ch.txt', layout_model_dir='/root/.paddleocr/whl/layout/picodet_lcnet_x1_0_fgd_layout_cdla_infer', layout_dict_path='/usr/local/lib/python3.10/site-packages/paddleocr-2.7.0.1-py3.10.egg/paddleocr/ppocr/utils/dict/layout_dict/layout_cdla_dict.txt', layout_score_threshold=0.5, layout_nms_threshold=0.5, kie_algorithm='LayoutXLM', ser_model_dir=None, re_model_dir=None, use_visual_backbone=True, ser_dict_path='../train_data/XFUND/class_list_xfun.txt', ocr_order_method=None, mode='structure', image_orientation=False, layout=True, table=True, ocr=True, recovery=True, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='ch', det=True, rec=True, type='ocr', ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
  Traceback (most recent call last):
  File "/app/test/huifu.py", line 16, in <module>
  result = table_engine(img)
  File "/usr/local/lib/python3.10/site-packages/paddleocr-2.7.0.1-py3.10.egg/paddleocr/paddleocr.py", line 759, in __call__
  res, _ = super().__call__(
  File "/usr/local/lib/python3.10/site-packages/paddleocr-2.7.0.1-py3.10.egg/paddleocr/ppstructure/predict_system.py", line 140, in __call__
  filter_boxes, filter_rec_res, ocr_time_dict = self.text_system(
  File "/usr/local/lib/python3.10/site-packages/paddleocr-2.7.0.1-py3.10.egg/paddleocr/tools/infer/predict_system.py", line 76, in __call__
  dt_boxes, elapse = self.text_detector(img)
  File "/usr/local/lib/python3.10/site-packages/paddleocr-2.7.0.1-py3.10.egg/paddleocr/tools/infer/predict_det.py", line 245, in __call__
  self.predictor.run()
  OSError: In user code:
  
  ExternalError: CUDNN error(9), CUDNN_STATUS_NOT_SUPPORTED. 
    [Hint: 'CUDNN_STATUS_NOT_SUPPORTED'.  The functionality requested is not presently supported by cuDNN.  ] (at ../paddle/phi/kernels/fusion/gpu/conv_fusion_kernel.cu:616)
    [operator < conv2d_fusion > error]

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[THE-FLIER]

一样问题，求解答