aa54a062ec
The start route preflight only rejected non-bf16 GPUs; an explicit int8 request on a host with a missing or stub torchao passed the preflight, evicted resident GPU workloads, then died in the trainer child (its int8 base quantizer has no fallback). Fold both gates into training_precision_preflight_error so int8-without-torchao fails fast before eviction. Also empty the advertised DiT precision_modes (and surface the reason in vram_note, drop compile) whenever the bf16 preflight would reject the family, so /info never offers an nf4 DiT option the route always 400s. |
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| .. | ||
| assets | ||
| auth | ||
| core | ||
| hub | ||
| loggers | ||
| models | ||
| plugins | ||
| requirements | ||
| routes | ||
| state | ||
| storage | ||
| tests | ||
| utils | ||
| __init__.py | ||
| _platform_compat.py | ||
| cloudflare_tunnel.py | ||
| colab.py | ||
| main.py | ||
| run.py | ||
| startup_banner.py | ||