GitLab

* add ema hook

* add ema hook resume

* add ema hook test

* fix typo

* fix according to comment

* delete logger

* fix according to comment

* fix unitest

* fix typo

* fix according to comment

* change to resume_from

* typo

* fix isort

* More robust sync buffer hook

* More robust sync buffer hook

* Reformat

* reformat

* reformat

* Add register hook from cfg

* docstring

* change according to comments

* update doc formats

* update docstring

* feat: add CosineRestartLrUpdaterHook

* style: rename period to periods

* fix: bug in period 0

* feat: rename eta_min to min_lr and add min_lr_ratio

* docs: fix docstring of restart lr updater

* refactor: use annealing_cos

* docs: add docstring to annealing_cos

* feat: cosine restart lr update hook

* refactor: modify code order for unittest

* add a BaseRunner and rename Runner to EpochBasedRunner

* fix the train/val step

* bug fix

* update unit tests

* fix unit tests

* raise an error if both batch_processor and train_step are set

* add a unit test

* 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

* track progress of iter&enum

* restore

* add momentum scheduler

* fix small bug

* cyclic scheduler"

* fix bug

* fix second phase's bug

* reformat

* feature (cosine lr): use relative ratio for more flexible scheduler

* Fix (runner): fix bugs in runner

* Refactor (hook): refactor cosing/cyclic LR/momentum hook with unittest

* Clean unnecessary files and reformat

* Fix memory key error when GPU is not avaliable

* Resolve comments

* Do not print momentum in text log

* Change hook register order

* Refactor max_iter

* Fix max_iter bugs in runner

* Enforce target_ratio to be either tuple or float

* 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

* add is_scalar in PaviLoggerHook and add unittest

* add docstrings