51 lines
1.3 KiB
Markdown
51 lines
1.3 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:
|
|
```bash
|
|
git clone https://github.com/PyTorchLightning/pytorch-lightning
|
|
cd pytorch-lightning
|
|
|
|
# install module locally
|
|
pip install -e .
|
|
|
|
# install dev deps
|
|
pip install -r requirements.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.
|
|
|
|
|
|
## 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
|
|
pip install coverage
|
|
coverage run --source pytorch_lightning -m py.test pytorch_lightning tests examples -v --doctest-modules
|
|
|
|
# print coverage stats
|
|
coverage report -m
|
|
|
|
# exporting resulys
|
|
coverage xml
|
|
codecov -t 17327163-8cca-4a5d-86c8-ca5f2ef700bc -v
|
|
```
|
|
|
|
|