GitLab

* 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

* optimize criss cross attention

* optimize criss cross attention

* optimize criss cross attention

* fix lint

* fix ci, remove useless variable

* better ca_forward_kernel
Co-authored-by: wondervictor <victorchanchina@gmail.com>

* 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.

* Support variables in base files for configs
Signed-off-by: lizz <lizz@sensetime.com>

* Test json and yaml as well
Signed-off-by: lizz <lizz@sensetime.com>

* Add test for recusive base
Signed-off-by: lizz <lizz@sensetime.com>

* Test misleading values
Signed-off-by: lizz <lizz@sensetime.com>

* Improve comments
Signed-off-by: lizz <lizz@sensetime.com>

* Add doc
Signed-off-by: lizz <lizz@sensetime.com>

* Improve doc
Signed-off-by: lizz <lizz@sensetime.com>

* More tests
Signed-off-by: lizz <lizz@sensetime.com>

* Harder test case
Signed-off-by: lizz <lizz@sensetime.com>

* use BASE_KEY instead of base
Signed-off-by: lizz <lizz@sensetime.com>

* Fix the permission denied error on windows.

* Format code.

* Using a cleaner way.

* Update config.py

use os.unlink instead of unlink

* change  unlink to remove

* add notes for new implementation

* Fix typo
Co-authored-by: WRH <12756472+wangruohui@users.noreply.github.com>
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>

* 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 resize or rescale to multiple

* add imresize_to_multiple function in mmcv.image

* fix docstring

* use to_2tuple

* empty tensor inference backward continity

* update

* add 3d

* add to_ntuple

* add unit test

* add modulated dcn, better dcn plugin

* clangformat

* update documentation

* avoid bc-breaking

* fix function name

* fix typo

* fix import

* add import warning

* remove wapper

* remove unitest

* add dep warning

* add dep warning

I need this in a subclass, but I dont want copy the whole `log()` function

* minor changes

* change to modulist

* change to Sequential

* replace dropout with attn_drop and proj_drop in MultiheadAttention

* add operation_name for attn

* add drop path and move all ffn args to ffncfgs

* fix typo

* fix a bug when use default value of ffn_cfgs

* fix ffns

* add deprecate warning

* fix deprecate warning

* change to pop kwargs

* support register FFN of transformer

* support batch first

* fix batch first wapper

* fix forward wapper

* fix typo

* fix lint

* add unitest for transformer

* fix unitest

* fix equal

* use allclose

* fix comments

* fix comments

* change configdict to dict

* move drop to a file

* add comments for drop path

* add noqa 501

* move bnc wapper to MultiheadAttention

* move bnc wapper to MultiheadAttention

* use dep warning

* resolve comments

* add unitest:

* rename residual to identity

* revert runner

* msda residual to identity

* rename inp_identity to identity

* fix name

* fix transformer

* remove key in msda

* remove assert for key
Co-authored-by: HIT-cwh <2892770585@qq.com>
Co-authored-by: bkhuang <congee524@gmail.com>
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>

* fix cast nn.Module bug

* fix misleading doc

* add resume function

* del useless; fix typo

* change meta structure; set resume default

* Fix export to onnx for PointRend

* Fix codestyle

* Fix codestyle

* Fix type in docstring

* Minor fix

* Fix export with custom ops

* Fix codestyle

* Add tests for bilinear_grid_sample function

* Remove redundant operation and rename variables

* Fix bug in bilinear_grid_sample and update test

* Fix getting batch size

* skip torch==1.3.1

* remove unused import

* fix lint

* support export with batch

* fix dynamic clip

* skip test for torch<1.5.0

* Add docstrings and comments

* Minor fix

* Recover clipping code

* Fix clamping in pytorch 1.7.0

* Fix bilinear_grid_sampler

* Minor fix
Co-authored-by: maningsheng <maningsheng@sensetime.com>

* add runner doc

* revised according to comments and remove non existing links

* revise according to comments

* Add dvclive logger hook

* Move docstring to class

* docstring updates

* [WIP] Updata initialization documents

* [Fix] Fix the docstring for initializers

Signed-off-by: lizz <lizz@sensetime.com>

* [Fix] Support names of base classes matching in init_cfg

* revise bool to len

* Add score_threshold and max_num to NMS

* Fix codestyle

* Fix codestyle

* Fix inds in nms

* Update nms docstring

* Move score_threshold and max_num arguments

* Fix args order in docstring

* fix lint of c++ file

* Remove torch.onnx.is_in_onnx_export() and add max_num to batched_nms for separate classes.

* Rewrote max_num handling in NMSop.symbolic

* Added processing max_output_boxes_per_class when exporting to TensorRT

* Added score_threshold and max_num for NMS in test_onnx.py and test_tensorrt.py

* Remove _is_value(max_num)

* fix ci errors with torch==1.3.1

* Update test_batched_nms in test_nms.py

* Added tests for preprocess_onnx

* Moved 'test_tensorrt_preprocess.py' and 'preprocess', updated 'remove_tmp_file'.

* Update mmcv/tensorrt/__init__.py

* Fix segfault torch==1.3.1 (remove onnx.checker.check_model)

* Returned 'onnx.checker.check_model' with torch version check

* Changed torch version from 1.3.1 to 1.4.0

*...