Problem:
- Backend failed to start with ModuleNotFoundError for torch module
- torch was imported as hard dependency but not in requirements.txt
- Project uses PaddlePaddle which has its own CUDA implementation
Changes:
- Make torch import optional with try/except in ocr_service.py
- Make torch import optional in pp_structure_enhanced.py
- Add cleanup_gpu_memory() method using PaddlePaddle's memory management
- Add check_gpu_memory() method to monitor available GPU memory
- Use paddle.device.cuda.empty_cache() for GPU cleanup
- Use torch.cuda only if TORCH_AVAILABLE flag is True
- Add cleanup calls after OCR processing to prevent OOM errors
- Add memory checks before GPU-intensive operations
Benefits:
- Backend can start without torch installed
- GPU memory is properly managed using PaddlePaddle
- Optional torch support provides additional memory monitoring
- Prevents GPU OOM errors during document processing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implements the converter that transforms PP-StructureV3 OCR results into
the UnifiedDocument format, enabling consistent output for both OCR and
direct extraction tracks.
- Create OCRToUnifiedConverter class with full element type mapping
- Handle both enhanced (parsing_res_list) and standard markdown results
- Support 4-point and simple bbox formats for coordinates
- Establish element relationships (captions, lists, headers)
- Integrate converter into OCR service dual-track processing
- Update tasks.md marking section 3.3 complete
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
