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@ -282,7 +282,7 @@ For two micro-batch overlapping, you can refer to the following figure. With our
## Notices
- For extreme performance, we discover and use an out-of-doc PTX instruction: `ld.global.nc.L1::no_allocate.L2::256B`. This instruction will lead to an undefined behavior: accessing volatile GPU memory with non-coherent read-only PTX modifiers `.nc`. But the correctness is tested to be guaranteed with `.L1::no_allocate` on Hopper architectures, and performance will be much better. If you find kernels not working on some other platforms, you may add `DISABLE_AGGRESSIVE_PTX_INSTRS=1` to `setup.py` and disable this, or file an issue.
- For extreme performance, we discover and use a behavior-out-of-doc PTX instruction: `ld.global.nc.L1::no_allocate.L2::256B`. This instruction will lead to an undefined behavior: accessing volatile GPU memory with non-coherent read-only PTX modifiers `.nc`. But the correctness is tested to be guaranteed with `.L1::no_allocate` on Hopper architectures, and performance will be much better. If you find kernels not working on some other platforms, you may add `DISABLE_AGGRESSIVE_PTX_INSTRS=1` to `setup.py` and disable this, or file an issue.
- For better performance on your cluster, we recommend to run all the tests and use the best auto-tuned configuration. The default configurations are optimized on the DeepSeek's internal cluster.
## License