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5458d05cd8 Merge load functions (#995 )

* Update README.md

* Update README.md

* Use callable object for patching dataloaders (#971)

* Use callable object for patching dataloaders

* Add test for ddp with dataloaders passed to fit()

* Update pytorch_lightning/trainer/trainer.py

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* Update pytorch_lightning/trainer/trainer.py

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* merge load functions

* update tests

* fix documentation warnings

* fix line too long

* fix line too long

* print deprecation warning

Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com>

* move tags_csv argument to end of signature

* fix typo, update version numbers

* fix line too long

* add typing as requested

* update changelog

Co-authored-by: William Falcon <waf2107@columbia.edu>
Co-authored-by: Sho Arora <sho854@gmail.com>
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

2020-03-02 21:05:38 -05:00

loggers

Logger tests and fixes (#1009 )

2020-03-02 20:49:14 -05:00

models

Merge load functions (#995 )

2020-03-02 21:05:38 -05:00

trainer

Merge load functions (#995 )

2020-03-02 21:05:38 -05:00

__init__.py

added init to test folder

2019-07-24 21:32:31 -04:00

conftest.py

Fix amp tests (#661 )

2020-01-05 14:34:25 -05:00

README.md

Update tests README to point to tests/requirements.txt (#935 )

2020-02-25 09:45:34 -05:00

requirements.txt

separate requirements for logger dependencies (#792 )

2020-02-21 13:30:27 -05:00

test_amp.py

Enable TPU support (#868 )

2020-02-17 16:01:20 -05:00

test_cpu_models.py

Fixing tests (#936 )

2020-02-25 13:06:24 -05:00

test_gpu_models.py

Use callable object for patching dataloaders (#971 )

2020-03-02 17:11:54 +01:00

test_profiler.py

resolving documentation warnings (#833 )

2020-02-27 16:07:51 -05:00

test_restore_models.py

Merge load functions (#995 )

2020-03-02 21:05:38 -05:00

README.md

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