e102c0f18e
- snapshot_backend_flags reads each flag defensively (getattr + hasattr), so a build/platform missing one (no cuda.matmul on CPU/MPS) still captures the rest instead of skipping the whole snapshot. restore_backend_flags restores each flag independently so one failure can't leave the others leaked process-wide. - load_pipeline restores the flags (and clears the GPU cache) when the build fails after apply_speed_optims mutated the process-wide flags but before _state captured them for unload to restore -- otherwise a failed default/max load left cudnn.benchmark/TF32 on and contaminated later off generations. |
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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 | ||