* fix issues when converting deformable convolution to onnx
* keep and for interface consistency
Co-authored-by: maningsheng <maningsheng@sensetime.com>
* Update lr_updater.py
since epoch/iteration in runner starts with 0, we shouldn't leave the latter iteration to former (12th epoch for example, with first period equal to 12) period.
* Update lr_updater.py
* Update test_hooks.py
* 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
* import_modules_from_strings when loading cfg from file
* add unittest to tell whether the feature is enabled as expected
* minor
* set an environment variable instead of writing a file
* use 'shutil' instead of 'os.system'
* Add Sync buffer in CheckpointHook
* add reduce_params in fp16_utils.py
* change default value of sync_buffer to False
* Add world size check
* reset sync_buffer to false
* fix world_size
* Move dist functions into dist_utils.py
* fix small bugs
* Deprecation compatibility
* Change according to comments
* add version check in wrappers
* fix assersion
* use digital version for version comparison
* fix unit tests
* reformat
* fall back to compare the first two version
* fix unittest
* fix unittest
* fix unit test
* clean unnecessary change
* Support to specify LR of DCN's conv_offset
* Resolve comments & add unit test
* Resolve formats
* Fix CI for DCN
* Mock DCN when cpu only
* Use mock for cpu testing
* Fix docstring and support ModulatedDCN
* set offset_lr_mult as dcn's arguments, link CU-49u01p
* fix lr bug
* fall back to set LR in constructor
* resolve comments
* Add build_runner
* Parametrize test_runner
* Add imports to runner __init__
* Refactor max_iters and max_epochs from run to init
* Add assertion error messages
* Add test_builder
* Make change retro-compatible
* Raise ValueError if max_epochs and max_iters
* merge train/val_step and batch_processor into run_iter
* make self.train_mode of runner as an argument
* remove abstract methods of run_iter() in base_runner
* Add test case for type defined using default_args
* Refactor build_from_cfg
* Update exception of missing type
* pre-commit
* Fix default_args is None
* pre-commit
* Bring back test
* Update exception raising
* add brightness and contrast augmentation
* remove unnecessary
* reformat
* relax the precision constrain for adjust_brightness aug
* fix percision assertion error in unit test
* remove toy
* rename alpha as factor
* use np.testing.assert_allclose in place of np.less_equal
* Mv wrappers into bricks and use wrappers in registry
* resolve import issues
* fix import issues
* set nn op forward to torch 1.6.1
* fix CI bug and add warning
* Fix CI by using patch mock
* mv warnings inside deprecated module's initialization
yamengxi
Y. Xiong
Jerry Jiarui XU
Ming-Hsuan-Tu
Kuro Latency
Wang Xinjiang
Cao Yuhang
Kai Chen
Ruohui Wang
David de la Iglesia Castro
robin Han
Rui Xu
Jintao Lin
Wang Xinjiang
Ryan Li
Wenwei Zhang
wdmwhh
GT9505
q.yao
Zhiyuan Chen
ychan
David de la Iglesia Castro
Qiaofei Li