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* `add_argparse_args` method fixed (argument types added) * CHANGELOG.md upd * autopep8 fixes * --gpus=0 removed from test (for ci tests) * typo fixed * reduce on plateau scheduler fixed * Trainer cli related tests moved to test_trainer_cli.py * refactored: get_init_arguments_and_types is a public classmethod of the Trainer now * test_get_init_arguments_and_types added * autopep8 fixes * Trainer cli related tests moved to test_trainer_cli.py * refactored: get_init_arguments_and_types is a public classmethod of the Trainer now * test_get_init_arguments_and_types added * autopep8 fixes * Trainer cli related tests moved to test_trainer_cli.py * refactored: get_init_arguments_and_types is a public classmethod of the Trainer now * test_get_init_arguments_and_types added * autopep8 fixes * Trainer cli related tests moved to test_trainer_cli.py * test_get_init_arguments_and_types added * autopep8 fixes * Apply suggestions from code review * cosmetics * cosmetics * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * `Trainer.get_init_arguments_and_types` now returns arg types wrapped in tuples (not in sets) * deprecated args are now ignored in argparser * get_deprecated_arg_names small refactor * get_deprecated_arg_names bug fixed * Trainer cli related tests moved to test_trainer_cli.py * refactored: get_init_arguments_and_types is a public classmethod of the Trainer now * test_get_init_arguments_and_types added * autopep8 fixes * Trainer cli related tests moved to test_trainer_cli.py * autopep8 fixes * Trainer cli related tests moved to test_trainer_cli.py * Trainer cli related tests moved to test_trainer_cli.py * test_get_init_arguments_and_types added * autopep8 fixes * autopep8 fixes * Apply suggestions from code review * cosmetics * cosmetics * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * `Trainer.get_init_arguments_and_types` now returns arg types wrapped in tuples (not in sets) * deprecated args are now ignored in argparser * get_deprecated_arg_names small refactor * get_deprecated_arg_names bug fixed * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Joe Davison <joe@huggingface.co> * Update pytorch_lightning/trainer/trainer.py Co-Authored-By: Joe Davison <joe@huggingface.co> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Joe Davison <joe@huggingface.co> Co-authored-by: William Falcon <waf2107@columbia.edu>
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:
git clone https://github.com/PyTorchLightning/pytorch-lightning
cd pytorch-lightning
# install module locally
pip install -e .
# install dev deps
pip install -r tests/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:
- At least 2 GPUs.
- NVIDIA-apex installed.
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 (coverage is also installed as part of dev dependencies under tests/requirements.txt)
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