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
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
Group M=4..7 into same config. Add configs for power of two sizes.
Allow odd mc to enable a single range for odd M.
io.cc: warning fix(cast).
IsBlock -> !IsOneMC
benchmark_helper: best for verbosity 3, all configs for 4
ops_test: remove unused includes
PiperOrigin-RevId: 824475104
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
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
Lift DecompressA out of main autotuner to prevent interference
Also use kMaxNR / kNR constants instead of extra args
Fix: only require vector alignment, not cache alignment
PiperOrigin-RevId: 804333769
remove MatMul f32 special case (smaller code),
types: Add u32/u64 for use by Activations
move renamed ParallelismStrategy to threading_context so can pass ctx
ensure worker index is unique across clusters
matmul.h: const member functions for renamed policy classes (easier to call)
PiperOrigin-RevId: 802848086
Add a special case for A=F32,B=BF16, used when there is no native bf16 dot product.
dot-inl: ensure bf16,f32 and f32,bf16 both get promoted to float before f64 summation
matmul.cc: update autotuning to reflect actual A size
matmul_test: add all combinations of bf16/f32, report all results, not just first difference, check non-vector-aligned K
PiperOrigin-RevId: 800487817
Jan Wassenberg
Krzysztof Rymski
Martin Stolle
Phil Culliton
Biruk Mammo
Ray Smith
Marie White