It also supports better parallelism for small batch sizes / small models.
It also is able to utilize VDPBF16PS for nice 2x improvement on avx512
PiperOrigin-RevId: 874517319
* 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
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
Krzysztof Rymski
The gemma.cpp Authors
Ray Smith
Balazs Racz
Martin Stolle
Biruk Mammo
Jan Wassenberg