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If a model was torch.packaged using triton<=3.1, any user-defined autotuned kernels will have reps/warmups burned in with the old defaults (100/25). If this model is loaded with triton>=3.2, inductor's checks for unsupported non-default autotune args will fail, because triton.Autotuner's defaults for these parameters has changed to `None`. Let's explicitly support those values for backward compatibility with these older models. Differential Revision: [D68561014](https://our.internmc.facebook.com/intern/diff/D68561014/) Pull Request resolved: https://github.com/pytorch/pytorch/pull/145494 Approved by: https://github.com/aorenste |
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| .. | ||
| __init__.py | ||
| associative_scan.py | ||
| auto_functionalize.py | ||
| cond.py | ||
| effects.py | ||
| executorch_call_delegate.py | ||
| flex_attention.py | ||
| foreach_map.py | ||
| hints_wrap.py | ||
| invoke_subgraph.py | ||
| map.py | ||
| out_dtype.py | ||
| prim_hop_base.py | ||
| run_const_graph.py | ||
| scan.py | ||
| strict_mode.py | ||
| torchbind.py | ||
| triton_kernel_wrap.py | ||
| utils.py | ||
| while_loop.py | ||
| wrap.py | ||