(1) A function GenerateTWithContinuousBatching is added to use continuous batching when enabled.
(2) The ContinuousQBatch is added as a subclass of QBatch to manage prefill, insert, used-kv-cache-collection.
(3) Also expanded the unit test to more diverse cases.
PiperOrigin-RevId: 836090261
Uses the key_norm and query_norm layers to disambiguate between the Gemma2-2B and Gemma3-1B models.
Since Gemma3-1B is not multimodal, ViT is not an effective disambiguator. KQ normalization is a structural disambiguator between gemma2 and gemma3.
PiperOrigin-RevId: 833213331
This could lead to stack overflow in B_storage.
Also do not require specific type for query_norm_scale,
update batch sizes for attention tensors,
more verbose Mat shape/type checks.
PiperOrigin-RevId: 824987689
* Adds and uses a new `AttentionActivationPtrs` that holds non-owning `MatPtrs`. Acts as a view into `AttentionActivations`.
* Updates `QBatch` to hold non-owning `MatPtr`s to the kv caches.
* Enables the `MatPtrT` default constructor for simpler initializations.
* Pulls out and passes `LayerWeightsPtrs::query_norm_scale` directly. While `LayerWeightsPtrs` already held non-owning `MatPtr`s, this change avoids the need to find and construct several empty weight tensors just to construct one `query_norm_scale` tensor.
PiperOrigin-RevId: 824584177
Pass ThreadingContext instead of Pools/Profiler individually, for access to Zones
Add GCPP_ZONE helper
Add Caller argument to pool.Run to enable new stats
Remove most direct dependencies on ThreadPool, prefer ParallelFor
PiperOrigin-RevId: 822934530
Previously, this happened concurrently with the matmul autotune, which could lead to incorrect outcomes.
threading: de-singleton Pinning (no longer stores affinity); pass PoolWorkerMapping; fix Pool dtor order
Also enable SPR target (Zen4 is AMD-only),
update Highway version for renamed Thread()->GlobalIdx().
PiperOrigin-RevId: 816223017
matmul-inl: support CView=StridedView or RowPtrs; rename to C_MC_NC
matmul.cc: Allow 1 more rep for MC/NC to allow half-sized tiles, which helps.
PiperOrigin-RevId: 807291701
The register-tiled version achieves a speed-up by a factor of about 9.7 over the previous attention function on an AVX3-enabled machine.
PiperOrigin-RevId: 804913784
MMLoops: move dispatch code out, use overloads
split build target into matmul_env (for MatMulEnv/MMOptions)
weights: no longer call BindB
Fix potential out of bounds in gemma_batch_bench
PiperOrigin-RevId: 804895985
Krzysztof Rymski
Martin Stolle
Jan Wassenberg
Charles Zhao
The gemma.cpp Authors
Phil Culliton
Ray Smith
Biruk Mammo
Theotime Combes
Nitin Gangahar