lightning/tests/README.md

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# Pytorch-Lightning Tests
## Running tests
To run all tests do the following:
```bash
git clone https://github.com/williamFalcon/pytorch-lightning
cd pytorch-lightning
# install module locally
pip install -e .
# install dev deps
pip install -r requirements.txt
# run tests
py.test
# or to generate coverage
pip install coverage
coverage run tests/test_models.py
```
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.
### test_models.py
This file fits a tiny model on MNIST using these different set-ups.
1. CPU only.
2. Single GPU with DP.
3. Multiple (2) GPUs using DP.
3. Multiple (2) GPUs using DDP.
3. Multiple (2) GPUs using DP + apex (for 16-bit precision).
3. Multiple (2) GPUs using DDP + apex (for 16-bit precision).
For each set up it also tests:
1. model saving.
2. model loading.
3. predicting with a loaded model.
4. simulated save from HPC signal.
5. simulated load from HPC signal.