* [Feature] Support setting start epoch and interval epoch for PAVI Logger Hook
* [Feature] Update the coding style as the maintainer wish
* fix: default integer division or modulo by zero
* fix: runner.epoch is less than start and use self.get_epoch instead of runner.epoch
* feat: support for iter-based runner and fix the step bug
* feat: iter based hook
* feat: fix bug and coding style
* fix: coding style
* fix: coding style
* fix: graph may add in evaluation
* update support for linearly learning rate decay
* Fix LinearAnnealingLrUpdaterHook, update LinearAnnealingMomentumUpdaterHook, add unit test
add docstring
add docstring
update linear lr momentum schedule test
fix ci
Fix CI
* add lr and momentum hook to runner and hooks package
add lr and momentum hook to runner and hooks package
* replace multi_optimziers with multi_optimizers
Co-authored-by: HAOCHENYE <21724054@zju.edu.cn>
Co-authored-by: Mashiro <57566630+HAOCHENYE@users.noreply.github.com>
* detect detect_anomalous_params
* fix default value
* merge two case
* fix none case
* add unitest
* fix typo
* change level to error
* fix type
* add more details in docstr
* 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 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>
* [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
* 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
* 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
* 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.
* 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.
* 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
* support clipping min_lr in StepLrUpdaterHook
* add docstring for StepLrUpdaterHook
* fix small bugs
* add unit test for StepLrUpdaterHook
* fix linting error
* [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
Yosuke Shinya
Peter Ye
Zaida Zhou
pc
Artem
Sharpiless
saurbhc
Hakjin Lee
Mashiro
imyhxy
fatih
David de la Iglesia Castro
Jiazhen Wang
Shilong Zhang
Luting Wang
zhouzaida
Ma Zerun
Wenwei Zhang
Jerry Jiarui XU
Haodong Duan
Gu Wang
Y_Xuan
Yining Li
Jintao Lin
Ziyi Wu
gengenkai
Ziyi Wu
Miao Zheng