求助！PP-StructureV2 版面分析微调后，PPStructure使用微调后的版面分析模型报错，使用微调的ocr模型正常，为啥版面分析就不行了呢

[alanOO7]

代码：

table_engine = PPStructure(lang='en',layout=True, show_log=True,det_model_dir=f'D:\py\PaddleOCR\inference_model\det_model\Teacher',
rec_model_dir=f'D:\py\PaddleOCR\inference_model\rec_model'
,layout_model_dir=f'D:\py\PaddleOCR\ppstructure\inference\1500ec'
#,layout_dict_path=f'D:\py\PaddleOCR\inference_model\structure_analysis_module\layout_publaynet_dict.txt'
)

报错：
[2024/06/14 10:50:10] ppocr DEBUG: Namespace(help='==SUPPRESS==', use_gpu=False, use_xpu=False, use_npu=False, use_mlu=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='D:\py\PaddleOCR\inference_model\det_model\Teacher', 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='D:\py\PaddleOCR\inference_model\rec_model', rec_image_inverse=True, rec_image_shape='3, 48, 320', rec_batch_num=6, max_text_length=25, rec_char_dict_path='D:\py\PaddleOCR\ppocr\utils\en_dict.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, return_word_box=False, output='./output', table_max_len=488, table_algorithm='TableAttn', table_model_dir='C:\Users\mcnalwan/.paddleocr/whl\table\en_ppstructure_mobile_v2.0_SLANet_infer', merge_no_span_structure=True, table_char_dict_path='D:\py\PaddleOCR\ppocr\utils\dict\table_structure_dict.txt', layout_model_dir='D:\py\PaddleOCR\ppstructure\inference\1500ec', layout_dict_path='D:\py\PaddleOCR\ppocr\utils\dict\layout_dict\layout_publaynet_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=False, use_pdf2docx_api=False, invert=False, binarize=False, alphacolor=(255, 255, 255), lang='en', det=True, rec=True, type='ocr', savefile=False, ocr_version='PP-OCRv4', structure_version='PP-StructureV2')
Traceback (most recent call last):
File "D:\py\PaddleOCR\test.py", line 16, in
result = table_engine(img)
File "D:\py\PaddleOCR\paddleocr.py", line 853, in call
res, _ = super().call(img, return_ocr_result_in_table, img_idx=img_idx)
File "D:\py\PaddleOCR\ppstructure\predict_system.py", line 121, in call
layout_res, elapse = self.layout_predictor(img)
File "D:\py\PaddleOCR\ppstructure\layout\predict_layout.py", line 96, in call
self.predictor.run()
ValueError: (InvalidArgument) The size of Op(Conv) inputs should not be 0.
[Hint: Expected in_dims[i] != 0, but received in_dims[i]:0 == 0:0.] (at ..\paddle\phi\infermeta\binary.cc:494)
[operator < fused_conv2d > error]