GitLab

* 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

* update version check

* remove check for onnx
Co-authored-by: maningsheng <maningsheng@sensetime.com>

* 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

* supports for onnxruntime custom op `mmcv::MMCVTopPool`

* supports for onnxruntime custom op `mmcv::MMCVCornerPool`, involving TopPool, BottomPool, LeftPool and RightPool

* add unittest for corner_pool

* supports mmcv::CornerPool without memcpy

* add docs for mmcv::CornerPool

* re-add docs for mmcv::CornerPool

* fix output dtype doc

* reformat

* format with pre-commit

* format

* fix lint error, by using google clang-format style for c/c++

* support clipping min_lr in StepLrUpdaterHook

* add docstring for StepLrUpdaterHook

* fix small bugs

* add unit test for StepLrUpdaterHook

* fix linting error

* fix raise error bug in registering multiple names

* fix bug in checking the type of name

* fix lint

* fix unit test for registry

* fix bug in unit test

* add c++ ms_deform_atten

* fix cpp lint

* fix cpp lint

* clang format

* remove cmakefile

* google style

* clang-format precommit

* use clang-format-lint-action

* add transformer base class

* add merge

* add docstr

* add pyargs

* fix according to commments

* resiger module

* change to use basemodule

* add _ between build function

* split the name

* fix according to comments

* fix lint and fix unitest

* fix cpp lint

* fix bug of deformdetr_atten

* fix drop out

* fix residual

* use CUDA_1D_KERNEL_LOOP

* [Fix] Rename init_weight to init_weights

* warning msg

[Feature]: Add Rotated ROI align op for pytorch (cpu&cuda), parrots (cpu&cuda) and onnxruntime (cpu) (#933)

* add roi_align_rotated

* code format

* Add align key to roi align rotated

* Add clockwise for rotated roi align

* fix bugs in onnx export

* Add docstring for RoIAlignRotated

* remove cuda unittest

* Reformat c++ code

* add onnx roi align rotated file

* fix unittest

* Add  cpu and float64 of cuda support for parrots

* code format

* Add unified header to roi align rotated
Co-authored-by: luopeichao <luopeichao@sensetime.com>

* [Bug] Fix DeformConv2d bias error and add tests

* fix repr

* revise tests

* lint

* [Fix] Config deep copy in initialize_override

* add asserts&comments

* add test

* test org init_cfg

* test override without name

* typo

* add model registry

* fixed infer scoep

* fixed build func

* add docstring

* add md

* support multi level

* clean comments

* add docs

* fixed parent

* add more doc

* add value error, add docstring

* fixed docs

* change to local/global search

* resolve comments

* fixed test

* update some docstring

* update docs (minior)

* update docs

* update docs

* [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

* remove custom simplify model

* update docs about onnx-simplify

* [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

* add onnxruntime custom op grid_sample

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* update code

* [Feature] Add OneCycleLrUpdaterHook

* fix docstring

* fix docstring

* Remove redundant code

* add grid sample trt support

* fix align_corners=True

* change 'intep' to 'interp', fix bugs of grid sampler, better test script

* remove unused import

* move source comment to the top of trt_grid_sampler_kernel.cu