GitLab

* Use mdformat pre-commit hook

* allows consecutive numbering

* improve .mdformat.toml

* test mdformat

* format markdown

* minor fix

* fix codespecll

* fix circleci

* add linkify-it-py dependency for cicleci

* add comments

* replace flake8 url

* add mdformat-myst dependency

* remove mdformat-myst dependency

* update contributing.md

* [Docs] Refactor the structure of documentation

* [Docs] Refactor the structure of documentation

* fix symlink

* fix link

* fix typo

* polish docstring

* fix docstring

* update title

* fix deploy docs in for readthedocs

* reformat table

* resolve comments

* add doc-cn of ONNX

* Update docs_zh_CN/deployment/onnxruntime_custom_ops.md
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* update doc of cummax

* fix en doc of softnms

* update heading
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* update requirements of onnxruntime

* update document

* use python setup.py instead of pip install

* [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

* 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++

* update tensorrt plugin document

* add onnxruntime custom ops document

* format document

* add release note to onnxruntime_op and tensorrt_plugin

* update document

* add deployment.rst

* add grid_sampler onnxruntime document

* fix lint

* add allow_different_nesting tag

* add allow_different_nesting tag
Co-authored-by: maningsheng <maningsheng@sensetime.com>

* 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>