File size: 4,758 Bytes
4826e33 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 |
# INV Project TODO List
## 1. Import Path Fixes
- [ ] Remove all imports 'INV' namespace
## 2. HuggingFace Integration
- [x] 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
### 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
### 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
### 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
### 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
### 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
|