INV Project TODO List
1. Import Path Fixes
- Remove all imports 'INV' namespace
2. HuggingFace Integration
- Fix HuggingFace token handling
- Implement proper error handling in HuggingFaceDatasetManager
- Add retry mechanism for dataset operations
- Create consistent token access method across codebase
3. Database Migration
3.1 Core Storage Components
3.1.1 Parallel Processing Components
- parallel_array_distributor.py
- Replace LocalStorage with HuggingFaceDatasetManager
- Update storage operations:
- Replace query_tensors with dataset queries
- Convert store_tensor to use HF datasets
- Update load_tensor to use dataset access
- Implement chunked dataset operations
- Add versioning for distributed chunks
- Update metadata handling for HF compatibility
- Replace JSON file storage with HuggingFace datasets
- multithread_storage.py (Highest Priority)
- Migrate StorageBlock management
- Update ThreadPoolExecutor integration
- Convert DuckDB operations to HF datasets
- tensor_storage.py
- Update TensorOps serialization
- Implement HF dataset tensor storage
- http_storage.py
- Replace LocalStorage implementation
- Update remote storage handlers
- multithread_storage.py (Highest Priority)
3.2 Memory Management
- Update memory hierarchy implementations
- gpu_arch.py
- Migrate SharedMemory
- Update L1Cache implementation
- Convert GlobalMemory to HF datasets
- virtual_vram.py (complete migration)
- streaming_multiprocessor.py
- gpu_chip.py
- gpu_arch.py
3.3 Helium Framework
- Update Helium components
- modality_aware_tensor_core.py
- Migrate storage backend
- Update modality handling
- decoder.py
- Convert DecoderCache to HF
- Update HeliumDBManager
- encoder.py
- Migrate EncoderCache
- Update state management
- transform3d.py
- Convert geometry caching
- activations.py
- Migrate DuckDBCache
- modality_aware_tensor_core.py
3.4 Infrastructure
- Update infrastructure components
- visual_server.py
- Convert storage stats
- Update dashboard data
- http_server.py
- Migrate CacheRequest/Response
- ai_http.py
- Update AI acceleration storage
- visual_server.py
3.5 CPU Components
- Migrate CPU-related storage
- cpu_grid_manager.py
- Convert DuckDB operations
- cpu/db_example.py
- Update example implementations
- cpu/enhanced_cpu.py
- Migrate CPU state storage
- cpu_grid_manager.py
3.6 Advanced Features
- Implement on-demand data loading/saving
- Lazy loading for large tensors
- Streaming support for datasets
- Caching strategy implementation
- Add data versioning support
- Dataset version tracking
- Migration scripts
- Rollback capability
4. Code Structure Improvements
- Implement proper singleton pattern for dataset management
- Add thread safety mechanisms for concurrent access
- Create centralized configuration management
- Implement robust error handling for database operations
5. Testing and Validation
- Create comprehensive test suite for dataset operations
- Verify data consistency across operations
- Test concurrent access scenarios
- Validate proper cleanup of resources
6. Environment Configuration
- Set up proper PYTHONPATH configuration
- Create consistent environment variable management
- Document required environment setup
- Add validation for required credentials
7. Performance Optimization
- Implement efficient caching mechanisms
- Optimize dataset chunking for large data
- Add compression for data transfer
- Implement batch operations for better performance
8. Documentation
- Document new dataset integration
- Update API documentation
- Create migration guide
- Add troubleshooting guide
9. Security
- Implement secure token storage
- Add access control mechanisms
- Implement proper credential management
- Add audit logging for sensitive operations
10. Cleanup
- Remove deprecated JSON storage code
- Clean up unused imports
- Remove redundant configuration
- Update requirements.txt with new dependencies
Notes
- Priority should be given to import path fixes and HuggingFace integration as they are foundational
- All tasks should be implemented with proper error handling and testing
- Documentation should be updated as changes are made