mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-11-11 21:39:52 +00:00

History

Jared Van Bortel bd60d82d0c server tests : more pythonic process management; fix bare `except:` (#6146 ) * server tests : remove seemingly redundant newlines in print() * server tests : use built-in subprocess features, not os.kill and psutil * server tests : do not catch e.g. SystemExit; use print_exc * server tests: handle TimeoutExpired exception * server tests: fix connect on dual-stack systems * server: tests: add new tokens regex on windows generated following new repeat penalties default changed in (#6127) * server: tests: remove the hack on windows since now we get the good socket family * server: tests: add new tokens regex following new repeat penalties default changed in (#6127) * server: tests: add new tokens regex following new repeat penalties default changed in (#6127) --------- Co-authored-by: Pierrick HYMBERT <pierrick.hymbert@gmail.com>		2024-03-20 06:33:49 +01:00
..
features	server tests : more pythonic process management; fix bare `except:` (#6146 )	2024-03-20 06:33:49 +01:00
README.md	common: llama_load_model_from_url using --model-url (#6098 )	2024-03-17 19:12:37 +01:00
requirements.txt	server tests : more pythonic process management; fix bare `except:` (#6146 )	2024-03-20 06:33:49 +01:00
tests.sh	server: tests: passkey challenge / self-extend with context shift demo (#5832 )	2024-03-02 22:00:14 +01:00

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 ../../..
mkdir build
cd build
cmake ../
cmake --build . --target 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/server`
`DEBUG`	"ON" to enable steps and server verbose mode `--verbose`
`SERVER_LOG_FORMAT_JSON`	if set switch server logs to json format
`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"