char-fork/llama.cpp
git clone https://git.t4t.associates/char-fork/llama.cpp
8300f1411
char/aliceai-t5-moe
files
| fixtures/ | |
| unit/ | |
| .gitignore | 10 B |
| README.md | 3.4 KiB |
| conftest.py | 1.1 KiB |
| pytest.ini | 92 B |
| requirements.txt | 143 B |
| tests.sh | 507 B |
| utils.py | 27.2 KiB |
Server tests
Python based server tests scenario using pytest.
Tests target GitHub workflows job runners with 4 vCPU.
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 buildcmake --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 | to enable steps and server verbose mode --verbose |
N_GPU_LAYERS | number of model layers to offload to VRAM -ngl --n-gpu-layers |
LLAMA_CACHE | by default server tests re-download models to the tmp subfolder. Set this to your cache (e.g. $HOME/Library/Caches/llama.cpp on Mac or $HOME/.cache/llama.cpp on Unix) to avoid this |
To run slow tests (will download many models, make sure to set LLAMA_CACHE if needed):
SLOW_TESTS =1./tests.sh
To run with stdout/stderr display in real time (verbose output, but useful for debugging):
DEBUG =1./tests.sh -s -v -x
To run all the tests in a file:
./tests.sh unit/test_chat_completion.py-v -x
To run a single test:
./tests.sh unit/test_chat_completion.py::test_invalid_chat_completion_req
Hint: You can compile and run test in single command, useful for local development:
cmake --build build-j --target llama-server&& ./tools/server/tests/tests.sh
To see all available arguments, please refer to pytest documentation
Debugging external llama-server
It can sometimes be useful to run the server in a debugger when invesigating test
failures. To do this, the environment variable DEBUG_EXTERNAL=1 can be set
which will cause the test to skip starting a llama-server itself. Instead, the
server can be started in a debugger.
Example using gdb:
$ gdb --args ../../../build/bin/llama-server \--host 127.0.0.1--port 8080 \--temp 0.8--seed 42 \--hf-repo ggml-org/models--hf-file tinyllamas/stories260K.gguf \--batch-size 32--no-slots --alias tinyllama-2--ctx-size 512 \--parallel 2--n-predict 64
And a break point can be set in before running:
(gdb )br server.cpp:4604 (gdb )r main: server is listening on http://127.0.0.1:8080- starting the main loopsrv update_slots: all slots are idle
And then the test in question can be run in another terminal:
(venv )$ env DEBUG_EXTERNAL=1 ./tests.sh unit/test_chat_completion.py-v -x
And this should trigger the breakpoint and allow inspection of the server state in the debugger terminal.