GitLab

* remove onnx

* remove print

* remove deploy for 2.0

* update onnx ut

* [Docs] Add swith_language.md in docs (#2160)

* [Fix] Fix onnx unit tests (#2155)

* [Docs] Limit extension versions (#2144)

* Support PrRoIPool operation

* Add MPS bbox overlap

* Add .pre-commit-config-zh-cn.yaml (#2135)
Co-authored-by: xcnick <xcnick0412@gmail.com>
Co-authored-by: Jingwei Zhang <zjw18@mails.tsinghua.edu.cn>
Co-authored-by: q.yao <yaoqian@sensetime.com>

* add pyupgrade

* add options for pyupgrade

* minor refinement

* add rotated_feature_align cpu implementation

* add rotated_feature_align onnxruntime implementation

* Update code for advices from grimoire

Remove useless comment from mmcv/ops/csrc/pytorch/cpu/rotated_feature_align.cpp

Replace ambiguous function name atomicAdd in mmcv/ops/csrc/pytorch/cpu/rotated_feature_align.cpp

Simplify unit test with parameter in tests/test_ops/test_rotated_feature_align.py

Use fma in interpolate in mmcv/ops/csrc/onnxruntime/cpu/rotated_feature_align.cpp mmcv/ops/csrc/pytorch/cpu/rotated_feature_align.cpp

* Inline the function to reduce the overhead of the function call

Use fma in interpolate

* first commit

* Add copyright pre-commit-hook

* [Fix] fix some warnings in unittest

* [Impl] standardize some warnings

* [Fix] fix warning type in test_deprecation

* [Fix] fix warning type

* [Fix] continue fixing

* [Fix] fix some details

* [Fix] fix docstring

* [Fix] del useless statement

* [Fix] keep compatibility for torch < 1.5.0

* add onnx dcn

* replace gemm with torch C++ api

* small update

* fix cpp clang format

* pefer generic GEMM than torch ATen library

* addressing comments

* add ops path check

* add modulated_deform_conv in onnxruntime support

* Add docs descriptions

* Add gpu test in test_onnx.py

* code format

* remove new usage and move if outside for loop

* use memset when bias is nullptr

* 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 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 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

*...

* 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++

[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>

* remove custom simplify model

* update docs about onnx-simplify

* 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

* delete all parrots file
add bbox_overlaps new parrots op impl

* support first new impl parrts op (bbox_overlaps)(success test)

* add box_iou_rotated op, test succeed

* add carafe and carafe_naive op, test succeed (one parrots bug need fix)

* add cc_attention op, test success

* add corner_pool op, test success

* add parrots op deform_conv, test success

* add deform_roi_pool op, test success (but has question)

* add focal loss op, test success (gradcheck)

* add masked_conv2d op, test success

* add modulated_deform_conv op, test success

* add nms and nms_rotated op, test success

* add psamask op, test success

* add roi_align op, test_success

* add roi_pool op, test success

* add sync_bn op, test success

* add tin_shift op, test success

* fix test_deform_roi_pool, add parrots test

* skip test_onnx because parrots does not support onnx

* fix c++ lint

* fix python lint

* fix python lint

* Fix pytorch2onnx for yolov3 with torch==1.6.0

* update and add test for F.interpolate

* add test_onnx.py with build_cuda

* add ort nms op

* fit lint check

* fix lint check

* update code

* fix lint check

* update code

* update code

* update code

* update code

* update code

* update code

* Fix onnx, onnxruntime, onnxoptimizer import

* Revert "Fix onnx, onnxruntime, onnxoptimizer import"

This reverts commit 820e3785a1144eb85e1ba22688dada681ea4c829.

* remove simplify from init file

* update test for onnx simplify

* update onnx doc

* start trt plugin prototype

* Add test module, modify roialign convertor

* finish roi_align trt plugin

* fix conflict of RoiAlign and MMCVRoiAlign

* fix for lint

* fix test tensorrt module

* test_tensorrt move import to test func

* add except error type

* add tensorrt to setup.cfg

* code format with yapf

* fix for clang-format

* move tensorrt_utils to mmcv/tensorrt, add comments, better test module

* fix line endings, docformatter

* isort init, remove trailing whitespace

* add except type

* fix setup.py

* put import extension inside trt setup

* change c++ guard, update pytest script, better setup, etc

* sort import with isort

* sort import with isort

* move init of plugin lib to init_plugins.py

* resolve format and add test dependency: tensorrt

* tensorrt should be installed from source not from pypi

* update naming style and input check

* resolve lint error
Co-authored-by: maningsheng <maningsheng@sensetime.com>

* [Enhance]: add onxx simplify

* add simple doc

* add unit test

* update docstring

* resolve some comment

* add test dependency:onnxoptimizer

* Fix onnxruntime register empty libpath

* test onnxruntime version

* set checker to false

* skip test_simplify for torch<1.5.0

* add ort custom op roialign

* Update roi_align.py

* Update test_onnx.py

* Update test_onnx.py

* Update test_onnx.py

* Update test_onnx.py

* Update onnxruntime_register.cpp

* Update roiAlign.h

* Update roiAlign.cpp

* lint modification

* update roiAlign.cpp

* lint check

* lint check

* lint fix

* lint fix

* fix lint

* add link to commit
Co-authored-by: maningsheng <maningsheng@sensetime.com>

* add onnx support to roi_align and roi_pool

* add softnms ort support

* fix for lint

* format cpp code with clang-format:google

* add new empty line to the end of head files in onnxruntime

* update to pytorch1.7

* add test of softnms to onnxruntime

* fix for lint

* remote print in ops/info.py

* change import order, fix for flake8

* fix include

* add assert torch>=1.7.0

* [doc]: add document for onnxruntime custom operator

* update onnxruntime version to v1.5.1 for softnms

* remove doc menu

* Resolve lint for markdown

* resolve naming style in onnxruntime_op.md

* Use old cpp apis, optimize test_onnx.py

* Fixing strings in tests/test_ops/test_onnx.py

* code format with yapf

* fix soft_nms parrot

* add import in onnxruntime setup, avoid conflict

* fix doc and add assert

* change cpp guard
Co-authored-by: maningsheng <maningsheng@sensetime.com>

* add onnx support to roi_align and roi_pool

* add test on roi_align and roi_pool

* fix conflict with master

* support pytorch 1.7 and update the CI

* fix CI

* fix onnxruntime version in macos

* add unittest for onnx convert

* build onnx and onnxruntime in CI

* skip onnx op unit test while using CUDA

* fix offset==0 case in NMS

* remove tmp file used in test

* delete tmp file before assert so that we can remove the tmp file anyway