041f1b9ecb
The load tail re-ran the already-filtered speed_optims tuple through
.items() as if it were still the raw applied dict from apply_speed_optims.
An empty tuple short-circuited to {} so CPU test runs passed, but on a real
GPU at least channels_last engages, the tuple is truthy, and every load
failed with 'tuple' object has no attribute 'items'. Store the filtered
tuple directly and add a regression test that forces one optimisation to
engage.
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||
|---|---|---|
| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| install_sd_cpp_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||