Reviewers found a real CPU-only log shape that passed: an 'offloading 0 repeating layers to GPU' planning line, or a GPU KV/compute buffer, could read as GPU before the definitive 'offloaded 0/33' was seen. Check the explicit counted offload first (any N>0 wins, all zero is CPU-only), restrict the buffer-size signal to GPU model buffers (KV/compute on GPU with weights on CPU is still CPU inference), and add HIP/MUSA/CANN to the model-buffer markers so an older log naming those backends is not misread as CPU. Same in both classifiers. |
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| .. | ||
| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||
| _torchao_stub.py | ||
| tool_healing.py | ||