V6.5-final: removed pre-V6.4 modules/scripts, moved kohonen_learning_system up, activated VQ-VAE-2 in pipeline, integrated reasoning_engine, benchmarked EWC+W8A8 dequant, exhausted 6 datasets
f3fea40 verified | """Modelos do BiGRU_T_version (V6.5 — reestruturado). | |
| V6.5 cleanup: pre-V6.4 modules (bigru4, gru_hierarchy, orq_cell, train_t, | |
| transformer_unit, u8cell_t, unified_model, module_selector) foram REMOVIDOS. | |
| Apenas kohonen_learning_system.py (V6.4, movido de kohonen_refactored/) e | |
| hyp_t.py (V6.4) permanecem como módulos centrais do path V6.5. | |
| Módulos auxiliares mantidos: | |
| - vqvae2_hierarchical.py / vqvae2_hierarchical_flexnet.py (VQ-VAE-2) | |
| - token_compress.py (compressão de tokens) | |
| - embedding_reconfig.py (reconfiguração de embedding) | |
| - attention_multimodal.py (atenção multimodal) | |
| """ | |
| from .kohonen_learning_system import ( | |
| SimpleBBPETokenizer, | |
| positional_encoding, | |
| text_to_4d_vector, | |
| KohonenSOM4D, | |
| HypothesisClassifier, | |
| KohonenLearningSystem, | |
| ) | |
| from .hyp_t import HypT | |
| __all__ = [ | |
| "SimpleBBPETokenizer", | |
| "positional_encoding", | |
| "text_to_4d_vector", | |
| "KohonenSOM4D", | |
| "HypothesisClassifier", | |
| "KohonenLearningSystem", | |
| "HypT", | |
| ] | |