GitLab

* add windows CI

* clean versions

* only allow pt1.7 on windows

* fix windows install issue

* add win cpu

* fix win command

* clean unnecessary command

* resolve turbojpeg & tempfile on win

* replace os.readlink with os.path.realpath

* fix windows ci

* close file before removing it

* fix windows ci

* fix symlink on windows

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* modify according to comment
Co-authored-by: zhouzaida <zhouzaida@163.com>

* Add gradient cumulative optimizer

fixes #190

* Update optimizer.py

* Update optimizer.py

* fix loss scale improperly in last equivalent_iter

* Add `GradientCumulativeOptimizerHook` in `__init__.py`.

* Add docstring of `GradientCumulativeOptimizerHook`.

* Add type check, BN warning and resume warning. And fix typo, lint the
code.

* Add unit test

* Update docstring example.

* Change GradientCumulativeOptimizerHook `__init__` arguments.

* Add GradientCumulativeOptimzierHook unit tests with IterBasedRunner.

* Add GradientCumulativeFp16OptimizerHook.

* Add unit tests of GradientCumulativeFp16OptimizerHook

* Use '!=' instead of '>' to determine resume
Co-authored-by: Zhiyuan Chen <this@zyc.ai>

* [Fix] Fix the bug that training log and evaluating log are mixed

* [Fix] Fix the bug that training log and evaluating log are mixed

* fix comment

* fix import error

* refactor

* refactor

* refactor

* clear log_buffer before evaluation

* fix error

* add unittest

* add logger for init

* change init_info of oevrload init_weight

* add judgement for params_init_info

* add delete comments for params_init_info

* add docstr and more comments

* add docstr and more comments

* resolve comments

* dump to a file

* add unitest

* fix unitest

* fix unitest

* write to ori log

* fix typo

* resolve commnets

* fix call initweights twice in topmost module

* fix the potential bug of recursive import

* fix unitest

* fix potiential bugs

* remove unneccesary change

* add more unitest

* fix add param in initweights

* add more comments

* raise error

* add more detail assert error

* [Docs] Add header for files

* change to OpenMMLab

* add headers for .cpp, .cu, .h, .cuh

* replace Open-MMLab with OpenMMLab

* add logger for init

* change init_info of oevrload init_weight

* add judgement for params_init_info

* add delete comments for params_init_info

* add docstr and more comments

* add docstr and more comments

* resolve comments

* dump to a file

* add unitest

* fix unitest

* fix unitest

* write to ori log

* fix typo

* resolve commnets

* improve digit_version & use it for version_checking

* more testing for digit_version

* setuptools >= 50 is needed

* fix CI

* add debuging log

* >= to ==

* fix lint

* remove

* add failure case

* replace

* fix

* consider TORCH_VERSION == 'parrots'

* add unittest

* digit_version do not deal with the case if 'parrots' in version name.

* add flat cosine lr updater

* add test

* add doc

* update doc

* reformat

* update unittest

* update test flat cos

* remove momentum hook test

* update test

* change assert to ValueError

* fix unittest

* add by_epoch=True unittest

* change to start_percent

* change to start_percent in test

* porting mmcv for hip

* add nvcc

* fix format

* fix format

* fix bug for carafe

* fix test_utils because rocm_torch not allow set torch.backends.cudnn.benchmark to false

* add LOOSEVERSION

* fix format

* fix format of version

* fix code format

* test for yaml

* fix bug for citest

* fix bug for how to get torch._version_ at setup.py

* support print using hooks before running.

* Support to print hook trigger stages.

* Print stage-wise hook infos. And make `stages` as class attribute of
`Hook`

* Add util function `is_method_overriden` and use it in
`Hook.get_trigger_stages`.

* Add unit tests.

* Move `is_method_overriden` to `mmcv/utils/misc.py`

* Improve hook info text.

* Add base_class argument type assertion, and fix some typos.

* Remove `get_trigger_stages` to `get_triggered_stages`

* Use f-string.

* Refine default hooks and custom hooks priority rank.

* Add unit tests for custom hooks with string priority.

* Use priority `ABOVE_NORMAL` and `BELOW_NORMAL` instead of `HIGHER` and
`LOWER`.

And add unit tests for custom hook with the same priority as
default hooks.

* EvalHook uses case-insensitive key indicator matching and configurable test functions

* * fix docstring

* * move test_fn import into __init__
* configurable greater/less keys

* * update unittest
* update DistEvalHook

* fix comments and remove debug code

* support single greater/less key

* Add dvclive logger hook

* Move docstring to class

* docstring updates

* add neptune.ai logger hook

* add docstring

* move docstring

* update docstr

* update before_run

* Assign different priority to default hooks, and add custom hook register in base runner.

* Add custom hook register in example train file

* Add unittest of custom hook

* Code format

* add StepMomentumUpdaterHook

* add unit test

* fix typos

* refactor step updater

* replace stage with exp

* fix linting error

* use all() operation

* [Fix] lr add triangular

* [Fix] lr_triangular

* lr add docstring

* lr add docstring

* add unittest of triangular lr update

* support clipping min_lr in StepLrUpdaterHook

* add docstring for StepLrUpdaterHook

* fix small bugs

* add unit test for StepLrUpdaterHook

* fix linting error

* [Fix] Rename init_weight to init_weights

* warning msg

* [Refactoring] Add deprecated API warning

* revise test

* fix lint

* fix lint

* [Fix] OneCycleLrUpdaterHook interface

* revise according to comments

* revise according to comments

* add test

* fix lint

* revise according to comments

* minors

* add pytest param

* fix lint

* ci

* [Fix] fix bug of lr update hook

* [Fix] fix bug of lr update hook

* [Fix] Fix bug of lr updater hook

* add EvalHook

* add EvalHook

* refactor docstring

* polish

* use cp instead symlink

* add error info

* Update eval.py

* Update eval.py

* update

* add engine depandancy

* add comments

* fix unittest

* fix

* update unittest

* update unittest

* add docstring

* fix docstring

* [Feature] Add OneCycleLrUpdaterHook

* fix docstring

* fix docstring

* Remove redundant code

* [Refactoring]Approve init_cfg

* revise unit test

* revise according to comments

* add comment for wholemodule

* [Refactoring]Add BaseSequtial with init_weight

* revise according to comments

* revise comments

* minors

* baseseq2seq

* add modulelist

* revise minors

* fix isort

* format

* Simplified the code.

* Improved chkpt compatibility.

* One may modify the checkpoint via adding keywords.

* Tiny.

* Following reviewer's suggestion.

* Added unit_test.

* Fixed.

* Modify the state_dict  with  construction.

* Added test.

* Modified。

* Mimimalised the modification.

* Added the docstring.

* Format.

* Improved.

* Tiny.

* Temp file.

* Added assertion.

* Doc string.

* Fixed.

* fix baserunner bug

* add unit test

* hooks type check

* add initializers and BaseModule for unified parameter initialization

* fix circle import

* bug fix

* add is_init flag in BaseModule

* fix docstring

* sort import and fix doc format

* fix bug

* fix docformat and double quote string

* fix import sort

* import sort

* sort import

* revise according to comments

* fix doc format

* revise according to comments

* revise import and fix typo

* polish code

* revise minors

* revice minors

* revise apply function

* revise bias initialization with probability

* add type test for bias_prob

* revise minors

* Refactor _load_checkpoint fn

* Update _load_checkpoint fn

* Update docs str and add unit test

* Fix unit test

* Fix lint

* Add comment and Optimize function

* Fix docs str

* Update load_ckpt and fix doc str

* Update doc str and add sort unit test

* Update and fix unit test

* Fix unit test

* Update and add unit test

* Fix openmmlab prefix error

* fix mmcv ci for parrots

* fix mmcv ci

* fix lint

* add CLASSES to meta info

* Update checkpoint.py

* add unit test for CLASSES name

* clean up the tmp folder

* use tempfile to clean up temp folder

* support upload and download checkpoint from pavimodelcloud

* try import pavi

* add unittest

* [Enhance] Refactor logger

* fixed test

* make commit optional

* remove debug info

* fixed test

* [Feature] Add hook msg for ckpt_hook

* [Feature] Add hook msg for ckpt_hook

* add test

* Update lr_updater.py

since epoch/iteration in  runner starts with 0, we shouldn't leave the latter iteration to former (12th epoch for example, with first period equal to 12) period.

* Update lr_updater.py

* Update test_hooks.py

* Refactor tags for consistency

* Fix missing runner

* Fix missing runner

* Fix missing runner

* Fix missing runner

* Fix momentum runner hook inner iter

* Fix tests

* pre-commit run

* Support to specify LR of DCN's conv_offset

* Resolve comments & add unit test

* Resolve formats

* Fix CI for DCN

* Mock DCN when cpu only

* Use mock for cpu testing

* Fix docstring and support ModulatedDCN

* set offset_lr_mult as dcn's arguments, link CU-49u01p

* fix lr bug

* fall back to set LR in constructor

* resolve comments

* Add build_runner

* Parametrize test_runner

* Add imports to runner __init__

* Refactor max_iters and max_epochs from run to init

* Add assertion error messages

* Add test_builder

* Make change retro-compatible

* Raise ValueError if max_epochs and max_iters