Commit Graph

6 Commits

Author SHA1 Message Date
Ray Smith 85958f5fd3 Added MatPtr/MatPtrT/MatStorageT/MatStorage as a dynamically-sized replacement for CompressedArray.
Definition of array size is moved to the constructor.
Allocation is separate and parallelized.
All users of weights_raw.h migrated to CompressedWeights and weights_raw.h deleted.
Replaced all previous ForEachTensor functions with a single unified function.

PiperOrigin-RevId: 684451604
2024-10-10 08:22:30 -07:00
Jan Wassenberg 897f902d28 Fix include order, required to build with profiler enabled
PiperOrigin-RevId: 680574177
2024-09-30 07:52:50 -07:00
Jan Wassenberg 8c0a8834c1 Major compression update, arbitrary-len unpack + new Dot
Compression:
* Implement {any packed} x {bf16, f32} 'Load2' and DecompressAndZeroPad
* New compression test for all packed formats, add to GEMMA_TEST_FILES, remove from sfp/nuq_test
* Decompress->DecompressAndZeroPad, use PackedSpan for args with bounds checking
* NUQ: support arbitrary-length enc/dec
* New compression/shared, remove sfp.h and nuq.h
* Move Store2 into Traits and provide Compress2 wrapper
* Remove unused Decompress()-with-pool overload
* Simplify CompressedArrayLen, rename to CompressedArrayElements
* Remove unused DistortionStats b_l1_

Misc:
* Add compensated and Kahan dot, support any length
* Use same Dot function everywhere
* Move exact arithmetic functions into fp_arith
* use FloatPtr and MatPtr typedefs in tests; less stack usage
* Rename args to packed/raw
* Remove Traits::Name, instead TypeName<T>()
* Move kMaxSFP and kClusters/kGroupSize into Sfp/NuqStream
PiperOrigin-RevId: 672868468
2024-09-10 02:22:19 -07:00
Jan Wassenberg c29e9752c7 Refactor/cleanup, remove even_odd
* New compression/shared.h, remove sfp.h
* Remove unused DistortionStats b_l1_
* Move exact arithmetic functions into fp_arith
* Remove even_odd optimization for MatVec (mostly unused)
* use BF16 typedef more widely
* Add kMaxSFP constant

PiperOrigin-RevId: 670996386
2024-09-04 09:25:13 -07:00
Jan Wassenberg 2308514e5a Experiment with compensated dot product.
ULP difference vs exact is 0..1, vs 200-5000 for previous.
Runtime overhead is 2.5-4x for f32 input.

PiperOrigin-RevId: 668084019
2024-08-27 12:05:35 -07:00
Jan Wassenberg a24eda8d02 Split matmul into matvec; add large matrix benchmark
Rename var names to row/col for more clarity.
Better estimate error tolerance via max abs col sum.

PiperOrigin-RevId: 657601791
2024-07-30 08:29:11 -07:00