See https://arxiv.org/abs/2407.07726 for a description of the model.
Because PaliGemma operates as a prefix-LM on the image+prompt, add support for that.
PiperOrigin-RevId: 677841119
Use args only in GemmaEnv constructor, store everything else in RuntimeConfig.
Add runtime option to turn off thread spinning.
PiperOrigin-RevId: 670467320
LayersOutputFunc is no longer invoked for "blocks" and "final_norm" outputs.
Instead, we directly expose the Activations structure.
PiperOrigin-RevId: 663409316
Limit thread counts to detected. Add max_clusters arg.
Update detection logic to check for smt0 - previously we pinned to some siblings.
PiperOrigin-RevId: 659755311
- Allocate only the required KV caches and activation batch size
- Add flags for batch sizes
- Const-correct interface: Span of const int.
- Also clean up the KVCache arg to a span.
- Move kPrefillBatchSize into RuntimeConfig and remove related global constants.
PiperOrigin-RevId: 655893197
This CL adds a new function to Gemma that allows for batching of multiple prompts. The function takes a vector of prompts and returns a vector of responses. The prompts are processed in parallel, and the responses are returned in the same order as the prompts.
PiperOrigin-RevId: 648367559
Helper functions to tokenize/wrap
Move LayersOutputFunc into RuntimeConfig
AcceptFunc passes the probability
Implement StringFromType using the parser, and verify results match
PiperOrigin-RevId: 643255119
accept_token: allow default, check if empty when using
allow mixing sample_func and stream_func, call the latter after the former
Also fix missing includes/deps.
PiperOrigin-RevId: 642240012
This changes the command line flags, but the default value retains the previous behavior.
Also add a CreateGemma helper to enable extra args without interface changes.
PiperOrigin-RevId: 641266411
With this addition the ComputeCrossEntropy function can be moved
to its own library, because now we can compute it using only the
public API functions from gemma.h
Split common and weights into separate lib
Remove common-inl (does not have to be SIMD code), activations.cc
Centralize switch(Model) to avoid duplication
Move CompressWeightsT to compress_weights.cc
Move LoadWeights to weights.cc
PiperOrigin-RevId: 640869202
This is still in progress / experimental, currently it is only
implemented for normal gemma MQA attention layers, and no
parallelism is added yet for backward pass.
Since we need to remember all activations from all layers, the
forward pass was also reimplemented with a new activation data
structure.
Instead of MatVecLoop, we use MatVec and we combine k and v
into one 2 * kQKVDim long vector so that K and V projections
can be combined into one MatVec operation.
Benchmark results (summarization with 1600 tokens for prefill
and essay writing with 500 tokens for generation):
```
Prefill speed Generation speed
Num threads BEFORE AFTER BEFORE AFTER
4 9.81 t/s 9.96 t/s 8.39 t/s 8.46 t/s
18 31.50 t/s 36.67 t/s 23.10 t/s 25.83 t/s
32 45.36 t/s 58.91 t/s 27.60 t/s 31.25 t/s
64 57.72 t/s 80.64 t/s 35.40 t/s 39.76 t/s
```
We only used inner_pool in the prefill FFW function, and there we
can achieve sufficient parallelism on the rows of the matrix-vector
multiplications.
Benchmark results on a 1600-token summarization task:
```
Prefill speed
Num threads BEFORE AFTER
4 9.24 t/s 9.76 t/s
18 31.41 t/s 31.16 t/s
32 31.41 t/s 45.13 t/s
64 31.03 t/s 57.85 t/s
```
Move Path into io.h and use for opening files.
Removes dependency of gemma_lib on args.
Separate Windows codepath instead of emulating POSIX functions.
Plus lint fixes.
PiperOrigin-RevId: 626279004
Daniel Keysers
Paul Chang
Jan Wassenberg
RangerUFO
The gemma.cpp Authors
Copybara-Service
Zoltan Szabadka
Apoorv Reddy
Andrey Mikhaylov