65 lines
2.1 KiB
Markdown
65 lines
2.1 KiB
Markdown
# PyTorch-Lightning Tests
|
|
Most PL tests train a full MNIST model under various trainer conditions (ddp, ddp2+amp, etc...).
|
|
This provides testing for most combinations of important settings.
|
|
The tests expect the model to perform to a reasonable degree of testing accuracy to pass.
|
|
|
|
## Running tests
|
|
The automatic travis tests ONLY run CPU-based tests. Although these cover most of the use cases,
|
|
run on a 2-GPU machine to validate the full test-suite.
|
|
|
|
|
|
To run all tests do the following:
|
|
|
|
Install [Open MPI](https://www.open-mpi.org/) or another MPI implementation. Learn how to install Open MPI [on this page](https://www.open-mpi.org/faq/?category=building#easy-build>).
|
|
|
|
```bash
|
|
git clone https://github.com/PyTorchLightning/pytorch-lightning
|
|
cd pytorch-lightning
|
|
|
|
# install AMP support
|
|
bash requirements/install_Apex.sh
|
|
|
|
# install dev deps
|
|
pip install -r requirements/devel.txt
|
|
|
|
# run tests
|
|
py.test -v
|
|
```
|
|
|
|
To test models that require GPU make sure to run the above command on a GPU machine.
|
|
The GPU machine must have:
|
|
1. At least 2 GPUs.
|
|
2. [NVIDIA-apex](https://github.com/NVIDIA/apex#linux) installed.
|
|
3. [Horovod with NCCL](https://horovod.readthedocs.io/en/stable/gpus_include.html) support: `HOROVOD_GPU_OPERATIONS=NCCL pip install horovod`
|
|
|
|
|
|
## Running Coverage
|
|
Make sure to run coverage on a GPU machine with at least 2 GPUs and NVIDIA apex installed.
|
|
|
|
```bash
|
|
cd pytorch-lightning
|
|
|
|
# generate coverage (coverage is also installed as part of dev dependencies under requirements/devel.txt)
|
|
coverage run --source pytorch_lightning -m py.test pytorch_lightning tests examples -v
|
|
|
|
# print coverage stats
|
|
coverage report -m
|
|
|
|
# exporting results
|
|
coverage xml
|
|
```
|
|
|
|
## Building test image
|
|
|
|
You can build it on your own, note it takes lots of time, be prepared.
|
|
```bash
|
|
git clone <git-repository>
|
|
docker image build -t pytorch_lightning:devel-torch1.4 -f dockers/cuda-extras/Dockerfile --build-arg TORCH_VERSION=1.4 .
|
|
```
|
|
To build other versions, select different Dockerfile.
|
|
```bash
|
|
docker image list
|
|
docker run --rm -it pytorch_lightning:devel-torch1.4 bash
|
|
docker image rm pytorch_lightning:devel-torch1.4
|
|
```
|