GitLab

* 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

* 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.

* 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

* fix test.txt

* fix unittest in pt1.9

* fix checkpoint filename error

* add comment

* fix unittest

* fix onnxruntime version

* 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>

* 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

* 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>

* 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

* 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 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 dvclive logger hook

* Move docstring to class

* docstring updates

* [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

*...

* add instancenorm plugin

* resolve comments

* fix lint

* fix typo

* support cuda version `BorderAlign` module

* fix symbolic

* merge

* fix cpp lint error

* add unit test

* add comments for code references

* reformat doc

* fix lint error

* fix conflict

* add cummax/cummin tensorrt plugin

* fix isort

* fix with clang-format

* fix with clang-format again

* add document

* [Feature] Add truncated normal weight init

* [Feature] Add truncated normal weight init

* [Feature] Add truncated normal weight init

* update docstring

* delete modelA.pth

* modify according to comment

* use kstest to check truncated normal

* delete modelA.pth

* fix test.txt

* fix fp16 bug on DCNv2

* support fp16 on DCN/DCNv2 when pytorch >= '1.6.0'

* add comment

* Modified the comments

* Unified the usages of '.to()' and '.type_as()'

* add neptune.ai logger hook

* add docstring

* move docstring

* update docstr

* update before_run

* fix generalized attention fp16

* fix building without gpu error

* add comment

* Cast tensor at initialization

* 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

* fix basemodule

* fix typo

* fix unitest

* add pixel group ops

* reformatting

* formatting&rm auto

* Add citation

* Add contour expand

* c++ linting

* Add unit tests with Tensor

* rm model.pth

* rename

* c++ linting

* c++ linting

* Rename variables

* 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

* Add test util for checking stand-alone scripts
Signed-off-by: lizz <lizz@sensetime.com>

* Restrict to python scripts
Signed-off-by: lizz <lizz@sensetime.com>

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

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

* Allow no capture
Signed-off-by: lizz <lizz@sensetime.com>

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

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

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

* Update hello.py

* Update test_testing.py

* Update test_testing.py

* support custom op `mmcv::cummax` for onnxruntime in mmcv

* fix clang-format lint error

* support mmcv::cummin, reformat codes

* fix merge from master

* add docs for mmcv::cummax and mmcv::cummin

* format doc

* add assertion for torch version, when exporting `cummax` to onnx

* add more comments for torch version

* handle exporting to onnx in `soft_nms`

* commit for test_onnx

* remove `is_in_onnx_export` in softnms

* add more comments

* fix c++ lint error

* add known issues doc for `cummax`

* fix known issues doc