mirror of https://github.com/ggml-org/llama.cpp.git synced 2025-11-04 09:32:00 +00:00

Files

Xuan Son Nguyen 958367bf53 server : refactor slot input data, move tokenizer to HTTP thread (#10023 )

* server : refactor slot input data, move tokenizer to HTTP thread

* move prompt_tokens.empty() check

* fix incorrect if branch

* fix infinite generation loop

* bring back infill validation

* add infill test

* try fixing format_infill

* fix test

* remove redundant code

* rename completion to inference

* update docs

* use llama_tokens everywhere

2024-10-24 21:51:22 +02:00

features

server : refactor slot input data, move tokenizer to HTTP thread (#10023 )

2024-10-24 21:51:22 +02:00

.gitignore

common : reimplement logging (#9418 )

2024-09-15 20:46:12 +03:00

README.md

common : reimplement logging (#9418 )

2024-09-15 20:46:12 +03:00

requirements.txt

py : update transfomers version (#9694 )

2024-09-30 18:03:47 +03:00

tests.sh

tests : minor bash stuff (#6902 )

2024-04-25 14:27:20 +03:00

README.md

Server tests

Python based server tests scenario using BDD and behave:

issues.feature Pending issues scenario
parallel.feature Scenario involving multi slots and concurrent requests
security.feature Security, CORS and API Key
server.feature Server base scenario: completion, embedding, tokenization, etc...

Tests target GitHub workflows job runners with 4 vCPU.

Requests are using aiohttp, asyncio based http client.

Note: If the host architecture inference speed is faster than GitHub runners one, parallel scenario may randomly fail. To mitigate it, you can increase values in n_predict, kv_size.

Install dependencies

pip install -r requirements.txt

Run tests

Build the server

cd ../../..
cmake -B build -DLLAMA_CURL=ON
cmake --build build --target llama-server

Start the test: ./tests.sh

It's possible to override some scenario steps values with environment variables:

variable	description
`PORT`	`context.server_port` to set the listening port of the server during scenario, default: `8080`
`LLAMA_SERVER_BIN_PATH`	to change the server binary path, default: `../../../build/bin/llama-server`
`DEBUG`	"ON" to enable steps and server verbose mode `--verbose`
`N_GPU_LAYERS`	number of model layers to offload to VRAM `-ngl --n-gpu-layers`

Run @bug, @wip or @wrong_usage annotated scenario

Feature or Scenario must be annotated with @llama.cpp to be included in the default scope.

@bug annotation aims to link a scenario with a GitHub issue.
@wrong_usage are meant to show user issue that are actually an expected behavior
@wip to focus on a scenario working in progress
@slow heavy test, disabled by default

To run a scenario annotated with @bug, start:

DEBUG=ON ./tests.sh --no-skipped --tags bug --stop

After changing logic in steps.py, ensure that @bug and @wrong_usage scenario are updated.

./tests.sh --no-skipped --tags bug,wrong_usage || echo "should failed but compile"