- diffusion_attention: arch-gate FlashAttention 2 to Ampere (SM80)+ in both the primary selector and the heterogeneous-replica guard (it crashed on pre-Ampere). - diffusion_cfg_parallel: convert boolean attn masks to additive bias before the direct cuDNN op so partial masks match F.scaled_dot_product_attention; make proxy disable_cache transactional (clean both branches, mark broken, surface a reload-required error). - diffusion_cache: fail closed when a magcache step-count resize or below-threshold disable cannot remove the old cache; surface a failed enable+cleanup instead of a false uncached None. - video: roll back earlier experts when a later expert raises in the all-or-none step-cache loop; fail the load when the primary-only cache cannot be re-engaged through the CFG-parallel proxy; validate transformer_cache_quality and cfg_parallel before the worker. - scripts: place the fp8 ablation pipeline on CUDA; fail closed on a failed magcache resize in the speedmem bench; label OOM distinctly in the SDPA mask probe. - tests: regressions for the FA2 arch gate, transactional proxy disable, all-or-none exception rollback, magcache fail-closed transitions, and enable+cleanup failure. |
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|---|---|---|
| .. | ||
| data_recipe | ||
| .gitkeep | ||
| __init__.py | ||
| auth.py | ||
| chat_history.py | ||
| datasets.py | ||
| export.py | ||
| inference.py | ||
| llama.py | ||
| mcp_servers.py | ||
| models.py | ||
| preview.py | ||
| prompts.py | ||
| providers.py | ||
| rag.py | ||
| settings.py | ||
| training.py | ||
| training_history.py | ||
| training_vram.py | ||
| video.py | ||