GitLab

* Update test data for test_iou3d

* delete blank lines
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* add ops (iou3d) in mmdet3d

* add unit test

* refactor code

* refactor code

* refactor code

* refactor code

* refactor code
Co-authored-by: zhouzaida <zhouzaida@163.com>

* add ops (roiaware pool3d) in mmdet3d

* refactor code

* fix typo
Co-authored-by: zhouzaida <zhouzaida@163.com>

* add ops (voxel) in mmdet3d

* add ops (voxel) in mmdet3d

* add ops (voxel) in mmdet3d

* refactor code

* update test

* update test

* update test

* refactor code

* refactor code

* refactor code

* fix typo

* fix typo

* add case_insensitive

* rename v

* case_insensitive to case_sensitive

* Update docstring

* add ops (roipoint_pool3d) in mmdet3d

* refactor code

* fix typo

* add unit test

* refactor code

* refactor code

* refactor code

* fix typo

* add ops (assign_score_withk) in mmdet3d

* add ops (assign_score_withk) in mmdet3d

* refactor code

* fix typo

* refactor code

* fix typo

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

* add ops (interpolate) in mmdet3d

* refactor code

* fix typo

* fix typo

* fix typo

* refactor code

* fix MultiScaleDeformableAttention inference issue on cpu model

* fix lint

* add unintest

* remove some code

* Update tests/test_ops/test_ms_deformable_attn.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* fix device

* remove device

* add more device

* refactor unittest
Co-authored-by: zhicheng huang <zhichenghzc@gmail.com>
Co-authored-by: zhangshilong <2392587229zsl@gmail.com>
Co-authored-by: Shilong Zhang <61961338+jshilong@users.noreply.github.com>

* add ops (gather points) in mmdet3d

* add ops (gather points) in mmdet3d

* refactor code

* refactor code

* fix typo

* add ops (knn) in mmdet3d

* refactor code

* refactor code

* fix typo

* fix typo

* fix typo

* refactor code

* refactor code

* spell typo

* fix spell typo

* assert both dep and new args exist at same time

* add unintest

* Update tests/test_utils/test_misc.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* Update tests/test_utils/test_misc.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* polish warning

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

* add ops (furthest point sample) in mmdet3d

* refactor code

* refactor code

* fix typo

* fix typo

* fix typo

* refactor code

* fix typo

* define DIVUP in common_cuda_helper.hpp

* 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 code-spell hook to pre-commit

* Add code-spell hook to pre-commit and fix typos

* fix setup.cfg

* [Fix] Revise unit test of correlation

* rename

* lint

* lint

* lint

* lint

* [Features] Load optical flow data from bytes

* docstring

* revise base on comments

* compression test data

* compression test data

* docstring

* minors

* [Feature]: support empty tensor in MMSyncBN

* refine code

* resolve comments

* clean unnecessary comments

* fix inaccurate statistics when empty tensor

* resolve comments and add docstrings

* update unit tests

* rephrase, ready for merge

* Reimplement cc_attention using pure pytorch

* fix: avoid BC-Breaking

* delete cc_attention related cpp and cuda files

* delete cc_attention related lines in pybind.cpp

* make out Tensor contiguous.

* remove unneeded lines.

* Update mmcv/ops/cc_attention.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* Update TestCrissCrossAttention

* passing pre-commit

* Update docstring of CrissCrossAttention

* Update docstring of CrissCrossAttention

* Update mmcv/ops/cc_attention.py
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* [docs]polish the docstring

* [Docs] Polish the docstring
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>
Co-authored-by: Zaida Zhou <58739961+zhouzaida@users.noreply.github.com>

* [Feature] Add revert_sync_batchnorm

* support mmsyncbn (to be tested)

* Test passed

* Update docstring, rename the test file

* remove test_sync_bn

* add comment

* add mmcv.ops check

* Add a comment

* Add notes and relax test req
Co-authored-by: gaotongxiao <gaotongxiao@gmail.con>

* restrict the warning message

* and an important keyword in warning description

* a more elegant way of condition

* link format code too long

* fix the stupid spelling mistake

* Use issubclass to restrict warning message.

* maybe this version is more elegant.

* conv + bias + norm warning pytest

* 'created' a warning, hahaha

* isort and yapf format revision

* isort and yapf format revision

* flake8 fail issue

* I have to right this way in order to solve the conflicts between yapf and flake8, sigh...

* fixed test bug

* Add ruby windows installer source.

* Simplified the code and remove ruby source from CONTRIBUTING.md

* use _BatchNorm to simplify the code

* bug fix and add instanceNorm case into warning

* change the warning message to make it more clear

* fix unit test

* Fix missing `state_dict._metadata` when saving & loading checkpoints.

* Add unit tests.

* Fix default value and variable names in unit tests.

* DCN cpu version

* add modulated dcn cpu version

* move deform_conv_shape_check to deform conv utils

* add inline to deform_conv_shape_check

* add tests

* run linter

* add newline at file end

* run pre-commit against modulated deform conv cpp

* update saconv test

* run clang-format

* remove cuda device inline

* refactor dcn cuda/cpu functions

* remove DCN util

* remove DCN util hpp from all included files

* Addressing PR comment by refactoring modulated-DCN

* fix lint in cpp files

* add windows CI

* clean versions

* only allow pt1.7 on windows

* fix windows install issue

* add win cpu

* fix win command

* clean unnecessary command

* resolve turbojpeg & tempfile on win

* replace os.readlink with os.path.realpath

* fix windows ci

* close file before removing it

* fix windows ci

* fix symlink on windows

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* fix windows ci

* modify according to comment
Co-authored-by: zhouzaida <zhouzaida@163.com>

* 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 gradient cumulative optimizer

fixes #190

* Update optimizer.py

* Update optimizer.py

* fix loss scale improperly in last equivalent_iter

* Add `GradientCumulativeOptimizerHook` in `__init__.py`.

* Add docstring of `GradientCumulativeOptimizerHook`.

* Add type check, BN warning and resume warning. And fix typo, lint the
code.

* Add unit test

* Update docstring example.

* Change GradientCumulativeOptimizerHook `__init__` arguments.

* Add GradientCumulativeOptimzierHook unit tests with IterBasedRunner.

* Add GradientCumulativeFp16OptimizerHook.

* Add unit tests of GradientCumulativeFp16OptimizerHook

* Use '!=' instead of '>' to determine resume
Co-authored-by: Zhiyuan Chen <this@zyc.ai>

* Support deprecation checking in Config

* add unittest for config deprecation

* support reference link in deprecation info

* add doc

* Update config.md

* [Fix] Fix the bug that training log and evaluating log are mixed

* [Fix] Fix the bug that training log and evaluating log are mixed

* fix comment

* fix import error

* refactor

* refactor

* refactor

* clear log_buffer before evaluation

* fix error

* add unittest

* add logger for init

* change init_info of oevrload init_weight

* add judgement for params_init_info

* add delete comments for params_init_info

* add docstr and more comments

* add docstr and more comments

* resolve comments

* dump to a file

* add unitest

* fix unitest

* fix unitest

* write to ori log

* fix typo

* resolve commnets

* fix call initweights twice in topmost module

* fix the potential bug of recursive import

* fix unitest

* fix potiential bugs

* remove unneccesary change

* add more unitest

* fix add param in initweights

* add more comments

* raise error

* add more detail assert error

* [Docs] Add header for files

* change to OpenMMLab

* add headers for .cpp, .cu, .h, .cuh

* replace Open-MMLab with OpenMMLab

* add logger for init

* change init_info of oevrload init_weight

* add judgement for params_init_info

* add delete comments for params_init_info

* add docstr and more comments

* add docstr and more comments

* resolve comments

* dump to a file

* add unitest

* fix unitest

* fix unitest

* write to ori log

* fix typo

* resolve commnets

* 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.