GitLab

* refactor unittests

* split test_video.py to two files

* use tmp dir as work_dir of runner

* only run codecov for python 3.7

* remove useless comments

* Add MLflowLoggerHook

* Add MLflowLoggerHook to __all__

* Update name

* Fix tracking.MlflowClient setup

* Fix log_metric

* Fix mlflow_pytorch import

* Handle active_run

* Fix self.mlflow reference

* Simplify using high level API

* Fix set_experiment

* Add only_if_torch_available decorator and test_mlflow_hook

* Add missing import in hooks

* Fix torch available check

* Patch mlflow.pytorch in test

* Parametrize log_model

* Fix log_model parametrize

* Add docstring

* Move wand patch

* Fix flake8

* Add regression test for non numeric metric

* Only log numbers

* Rename experiment_name-> exp_name

* Remove pytest skip

* remove supports for python 2.7

* fix the unit test for python 3.5

* add python 3.8 in CI

* try ubuntu 18.04 as the environment

* update pre-commit hook config

* update the contributing guide

* add logging utils

* install torch (cpu only) for CI

* fix unittests for runner

* remove python 2.7 from testing list

* add a corner case

* add copyright header

* change # to // for cpp files

* use load_from_state_dict to load ckpt

* reformat

* reformat

* reformat import

* pass flake8

* isort skip

* Added wandb logger

* bugfix

* fixes

* fix

* flake8 fixes

* yapf fixes

* Refactor hook, add test

* flake8 fixes

* yapf fixes

* fix in test

* mock package => travis

* add yapf and isort to travis

* minor formatting

* remove blank lines

* skip unit tests for progressbar when python2

* update travis to ubuntu 16.04

* use a newer version ffmpeg

* add -y to add-apt-repository

* Make latest symlink relative. Add tests

* Skip test_save_checkpoint in the absense of torch

* Fix pep8 in test_runner

* Import runner only if torch import has succeeded