GitLab

* 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 TERMINOLOGY.md

* Update TERMINOLOGY.md

* Update TERMINOLOGY.md

* update

* [Fix] Fix example

* rename Net to Model

* support training without gpu in example

* modify according to comment

* replace data path with relative path

* [Docs] Update readme and docs

* add Chinese introduction

* fix table error

* 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

* windows build doc

* fix floor ceil

* fix lint

* change floor/ceil to floorf/ceilf

* Update build.md

* recover onnx and parrots

* fix clang-lint
Co-authored-by: WRH <12756472+wangruohui@users.noreply.github.com>

* revise the interface of upfirdn2d function

* adopt to_2tuple

* add torch.roll to onnx

* remove skip test

* add support to torch<170

* add dim=0 for torch==1.9.0

* update fixture function name, add comment in roll symbolic

* Fix potential interger overflow in `imequalize`.

* Modify imequalize unit test image size to generate potential integer
overflow.

* Add `is_tracing` to wrap `torch.jit.is_tracing` in different versions.

* Remame `is_tracing` to `is_jit_tracing`

* Ignore `is_jit_tracing` tests in CI.

* fix typos

* fix typos

* 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

* Remove _build directroy in docs_zh_CN

* Change utils title to Chinese

* Translate documents

* Translate documents

* Use symbolic link to avoid repeated images

* Use symbolic link to avoid repeated images

* fix readme.md

* update copyright

* refactor docs

* rename title to Chinese

* [Docs] Fix sphinx version

* [Docs] Remove sphinx_markdown_tables

* update readme link

* add sphinx_rtd_theme package

* add ci for pt1.8 pt1.9

* remove cp command

* change cuda verison

* fix typo

* fix ci

* fix typo

* fix test.txt

* fix unittest in pt1.9

* fix checkpoint filename error

* add comment

* fix unittest

* fix onnxruntime version

* [Docs] Refactor documentation

* [Docs] Refactor documentation

* refactor docs

* refactor docs

* set sphinx==3.1.2

* fix typo

* modify according to comment

* modify according to comment

* modify according to comment

* [Docs] delete unnecessary file

* fix title

* rename

* rename

* fix saconv

* update

* update

* fix

* use LooseVersion

* Change dict update order

* Change dict() with {}

* Added comments with PR link

* Fixed comments according to Lint Job

* Missing check for dir in the 'else' clause

Fixing issue when recursively scanning directories with filenames starting with '.'  Without this fix, the `if not entry.name.startswith('.') and entry.is_file()` logic falls through to the `else` clause which in the current code base will error out as it encounters '.' files (e.g. .DS_Store)

* Updated code per comments

* fixing indentation

* fix indenterror and add comment

* remove .DS_Store and add .file
Co-authored-by: zhouzaida <zhouzaida@163.com>

* [Fix] Fix SyncBN build in PyTorch 1.9

* fixed parrots SyncBN

* 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.

* Support image reading while ignoring EXIF orientation info

Add unit test for ignore_orientation flags in imread()

* add documentation for imread

* Add test cases