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Fix FLOPs inconsistency and add using_sparse_model flag #21743

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Fix FLOPs inconsistency and add using_sparse_model flag #21743

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3a45223
added arguments
Devesh-Maheshwari May 26, 2026
6ac9f57
Fix Hopper FLOPs inconsistency and add using_sparse_model flag
Devesh-Maheshwari May 26, 2026
ed10cee
Merge branch 'master' into fix-flop-inconsistency
deependujha May 27, 2026
7e2bda6
Update src/lightning/fabric/utilities/throughput.py
Devesh-Maheshwari May 27, 2026
8f09c93
made _CUDA_FLOPS consistent with a*10^b so it is consistent
Devesh-Maheshwari May 27, 2026
bb8c49d
resolved the reviewers comments
Devesh-Maheshwari May 27, 2026
9f98086
Added changed logs
Devesh-Maheshwari Jun 1, 2026
2485332
Merge branch 'master' into fix-flop-inconsistency
deependujha Jun 1, 2026
94dc34c
update
deependujha Jun 1, 2026
19b8e9c
update
deependujha Jun 1, 2026
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4 changes: 2 additions & 2 deletions src/lightning/fabric/CHANGELOG.md
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Expand Up @@ -8,7 +8,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

### Added

-
- Added `using_sparse_model` and `sparse_cuda_acceleration_factor` parameters to `Throughput` so MFU defaults to the dense peak and opts into the sparse peak explicitly ([#21743](https://github.com/Lightning-AI/pytorch-lightning/pull/21743))

### Changed

Expand All @@ -20,7 +20,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

### Fixed

-
- Fixed inconsistent FLOPs reporting on NVIDIA H100/H200 GPUs by defaulting to dense FLOPs, with sparse FLOPs now requiring an explicit opt-in. ([#21743](https://github.com/Lightning-AI/pytorch-lightning/pull/21743))

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