lightning/tests

PyTorch-Lightning Tests

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:

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 -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 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.
4. Multiple (2) GPUs using DDP.
5. Multiple (2) GPUs using DP + apex (for 16-bit precision).
6. 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.

Running Coverage

Make sure to run coverage on a GPU machine with at least 2 GPUs and NVIDIA apex installed.

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