GitLab

* 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.

* 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>