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https://github.com/ggerganov/llama.cpp.git
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beea6e1b16
* llama : save and restore kv cache for single seq id * remove trailing whitespace * respond error in case there's no space in the kv cache * add kv seq save restore to test case * add --slot-save-path arg to enable save restore and restrict save location * Returning 0 for some cases, instead of asserting. * cleanup error cases * rename sequence state functions * rename state get set functions * add previous function names back in with DEPRECATED notice * update doc * adjust endpoints to preferred style * fix restoring zero cell count * handle seq rm return value * unused param * keep in the size check * fix return types * add server test case for slot save restore * cleanup * add cake * cleanup style * add special * removing a whole sequence never fails * move sequence state file functionality from server to llama to match session api and add version tags * catch exceptions on save as well * error log messages * check types for stricter restore * update server doc * readme : update API changes date * strict filename validation * move include, reject bom as well * also reject empty filename * reject whitespace and trailing dot --------- Co-authored-by: Martin Evans <martindevans@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> |
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.. | ||
features | ||
README.md | ||
requirements.txt | ||
tests.sh |
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"