mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-13 22:18:36 +08:00
c45f414bbf
* Fix padded vocab size for Llama Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * Refactor multi GPU llama executor tests, and reuse the built model engines Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * Fix test list typo Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * WIP Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * Further WIP Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * WIP Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * Update test lists and readme Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * Try parametrize for asymmetric Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> * Parametrize + skip unsupported combinations Signed-off-by: domb <3886319+DomBrown@users.noreply.github.com> * Update test list Signed-off-by: domb <3886319+DomBrown@users.noreply.github.com> * Reduce environment duplicated code Signed-off-by: domb <3886319+DomBrown@users.noreply.github.com> --------- Signed-off-by: Dom Brown <3886319+DomBrown@users.noreply.github.com> Signed-off-by: domb <3886319+DomBrown@users.noreply.github.com>
116 lines
4.7 KiB
Markdown
116 lines
4.7 KiB
Markdown
# C++ Tests
|
|
|
|
This document explains how to build and run the C++ tests, and the included [resources](resources).
|
|
|
|
## Pytest Scripts
|
|
|
|
The unit tests can be launched via the Pytest script in [test_unit_tests.py](../../tests/integration/defs/cpp/test_unit_tests.py). These do not require engines to be built. The Pytest script will also build TRT-LLM.
|
|
|
|
The Pytest scripts in [test_e2e.py](../../tests/integration/defs/cpp/test_e2e.py) and [test_multi_gpu.py](../../tests/integration/defs/cpp/test_multi_gpu.py) build TRT-LLM, build engines, and generate expected outputs and execute the end-to-end C++ tests all in one go.
|
|
`test_e2e.py` and `test_multi_gpu.py` contain single and multi-device tests, respectively.
|
|
|
|
To get an overview of the tests and their parameterization, call:
|
|
|
|
```bash
|
|
pytest tests/integration/defs/cpp/test_unit_tests.py --collect-only
|
|
pytest tests/integration/defs/cpp/test_e2e.py --collect-only
|
|
pytest tests/integration/defs/cpp/test_multi_gpu.py --collect-only
|
|
```
|
|
|
|
All tests take the number of the CUDA architecture of the GPU you wish to use as a parameter e.g. 90 for Hopper.
|
|
|
|
It is possible to choose unit tests or a single model for end-to-end tests.
|
|
Example calls could look like this:
|
|
|
|
```bash
|
|
export LLM_MODELS_ROOT="/path/to/model_cache"
|
|
|
|
pytest tests/integration/defs/cpp/test_unit_tests.py::test_unit_tests[runtime-90]
|
|
|
|
pytest tests/integration/defs/cpp/test_e2e.py::test_model[llama-90]
|
|
|
|
pytest tests/integration/defs/cpp/test_e2e.py::test_benchmarks[gpt-90]
|
|
|
|
pytest tests/integration/defs/cpp/test_multi_gpu.py::TestDisagg::test_symmetric_executor[gpt-mpi_kvcache-90]
|
|
```
|
|
|
|
## Manual steps
|
|
|
|
### Compile
|
|
|
|
From the top-level directory call:
|
|
|
|
```bash
|
|
CPP_BUILD_DIR=cpp/build
|
|
python3 scripts/build_wheel.py -a "80-real;86-real" --build_dir ${CPP_BUILD_DIR}
|
|
pip install -r requirements-dev.txt
|
|
pip install build/tensorrt_llm*.whl
|
|
cd $CPP_BUILD_DIR && make -j$(nproc) google-tests
|
|
```
|
|
|
|
Single tests can be executed from `CPP_BUILD_DIR/tests`, e.g.
|
|
|
|
```bash
|
|
./$CPP_BUILD_DIR/tests/allocatorTest
|
|
```
|
|
|
|
### End-to-end tests
|
|
|
|
`trtGptModelRealDecoderTest` and `executorTest` require pre-built TensorRT engines, which are loaded in the tests. They also require data files which are stored in [cpp/tests/resources/data](resources/data).
|
|
|
|
#### Build engines
|
|
|
|
[Scripts](resources/scripts) are provided that download the GPT2 and GPT-J models from Huggingface and convert them to TensorRT engines.
|
|
The weights and built engines are stored under [cpp/tests/resources/models](resources/models).
|
|
To build the engines from the top-level directory:
|
|
|
|
```bash
|
|
PYTHONPATH=examples/models/core/gpt:$PYTHONPATH python3 cpp/tests/resources/scripts/build_gpt_engines.py
|
|
PYTHONPATH=examples/models/core/llama:$PYTHONPATH python3 cpp/tests/resources/scripts/build_llama_engines.py
|
|
PYTHONPATH=examples/medusa:$PYTHONPATH python3 cpp/tests/resources/scripts/build_medusa_engines.py
|
|
PYTHONPATH=examples/eagle:$PYTHONPATH python3 cpp/tests/resources/scripts/build_eagle_engines.py
|
|
PYTHONPATH=examples/redrafter:$PYTHONPATH python3 cpp/tests/resources/scripts/build_redrafter_engines.py
|
|
```
|
|
|
|
It is possible to build engines with tensor and pipeline parallelism for LLaMA using 4 GPUs.
|
|
|
|
```bash
|
|
PYTHONPATH=examples/models/core/llama python3 cpp/tests/resources/scripts/build_llama_engines.py --only_multi_gpu
|
|
```
|
|
|
|
#### Generate expected output
|
|
|
|
End-to-end tests read inputs and expected outputs from Numpy files located at [cpp/tests/resources/data](resources/data). The expected outputs can be generated using [scripts](resources/scripts) which employ the Python runtime to run the built engines:
|
|
|
|
```bash
|
|
PYTHONPATH=examples:$PYTHONPATH python3 cpp/tests/resources/scripts/generate_expected_gpt_output.py
|
|
PYTHONPATH=examples:$PYTHONPATH python3 cpp/tests/resources/scripts/generate_expected_llama_output.py
|
|
PYTHONPATH=examples:$PYTHONPATH python3 cpp/tests/resources/scripts/generate_expected_medusa_output.py
|
|
PYTHONPATH=examples:$PYTHONPATH python3 cpp/tests/resources/scripts/generate_expected_eagle_output.py
|
|
PYTHONPATH=examples:$PYTHONPATH python3 cpp/tests/resources/scripts/generate_expected_redrafter_output.py
|
|
```
|
|
|
|
#### Generate data with tensor and pipeline parallelism
|
|
|
|
It is possible to generate tensor and pipeline parallelism data for LLaMA using 4 GPUs. To generate results from the top-level directory:
|
|
|
|
```bash
|
|
PYTHONPATH=examples mpirun -n 4 python3 cpp/tests/resources/scripts/generate_expected_llama_output.py --only_multi_gpu
|
|
```
|
|
|
|
#### Run test
|
|
|
|
After building the engines and generating the expected output execute the tests
|
|
|
|
```bash
|
|
./$CPP_BUILD_DIR/tests/batch_manager/trtGptModelRealDecoderTest
|
|
```
|
|
|
|
### Run all tests with ctest
|
|
|
|
To run all tests and produce an xml report, call
|
|
|
|
```bash
|
|
./$CPP_BUILD_DIR/ctest --output-on-failure --output-junit "cpp-test-report.xml"
|
|
```
|