This is a follow-up PR of the reverted one https://github.com/pytorch/pytorch/pull/148981 re-opening for visibility :
Modified TorchInductor’s autotuning flow so that each best_config JSON file also includes the Triton “base32” (or base64) cache key.
Motivation
Debugging & Analysis: With this change, we can quickly identify which compiled binary and IRs belongs to a given best config.
The impact is minimal since it is only an extra field in .best_config. It can help advanced performance tuning or kernel-level debugging.
Also, since Triton already stores cubin/hsaco in its cache, developers/researchers can avoid to set store_cubin = True since they can get the cubin/hsaco in the Triton cache and with the code provided in this PR, they can easily match the best_config with the right Triton cache directory for the "best" kernel.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/154618
Approved by: https://github.com/jansel
This is a follow-up PR of the reverted one https://github.com/pytorch/pytorch/pull/147019 :
Modified TorchInductor’s autotuning flow so that each best_config JSON file also includes the Triton “base32” (or base64) cache key.
Motivation
Debugging & Analysis: With this change, we can quickly identify which compiled binary and IRs belongs to a given best config.
The impact is minimal since it is only an extra field in .best_config. It can help advanced performance tuning or kernel-level debugging.
Also, since Triton already stores cubin/hsaco in its cache, developers/researchers can avoid to set store_cubin = True since they can get the cubin/hsaco in the Triton cache and with the code provided in this PR, they can easily match the best_config with the right Triton cache directory for the "best" kernel.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148981
Approved by: https://github.com/davidberard98
Modified TorchInductor’s autotuning flow so that each `best_config` JSON file also includes the Triton “base32” (or base64) cache key.
**Motivation**
Debugging & Analysis: With this change, we can quickly identify which compiled binary and IRs belongs to a given best config.
The impact is minimal since it is only an extra field in .best_config. It can help advanced performance tuning or kernel-level debugging.
Also, since Triton already stores cubin/hsaco in its cache, developers/researchers can avoid to set `store_cubin = True` since they can get the cubin/hsaco in the Triton cache and with the code provided in this PR, they can easily match the best_config with the right Triton cache directory for the "best" kernel.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/147019
Approved by: https://github.com/davidberard98
