* [Features] Load optical flow data from bytes
* docstring
* revise base on comments
* compression test data
* compression test data
* docstring
* minors
* 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
* 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
* 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
* 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
* 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>
* 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>
* 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
* update version check
* remove check for onnx
Co-authored-by: maningsheng <maningsheng@sensetime.com>
* fix fp16 bug on DCNv2
* support fp16 on DCN/DCNv2 when pytorch >= '1.6.0'
* add comment
* Modified the comments
* Unified the usages of '.to()' and '.type_as()'
* 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 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++
* support clipping min_lr in StepLrUpdaterHook
* add docstring for StepLrUpdaterHook
* fix small bugs
* add unit test for StepLrUpdaterHook
* fix linting error
* fix raise error bug in registering multiple names
* fix bug in checking the type of name
* fix lint
* fix unit test for registry
* fix bug in unit test
* add c++ ms_deform_atten
* fix cpp lint
* fix cpp lint
* clang format
* remove cmakefile
* google style
* clang-format precommit
* use clang-format-lint-action
* add transformer base class
* add merge
* add docstr
* add pyargs
* fix according to commments
* resiger module
* change to use basemodule
* add _ between build function
* split the name
* fix according to comments
* fix lint and fix unitest
* fix cpp lint
* fix bug of deformdetr_atten
* fix drop out
* fix residual
* use CUDA_1D_KERNEL_LOOP
* add roi_align_rotated
* code format
* Add align key to roi align rotated
* Add clockwise for rotated roi align
* fix bugs in onnx export
* Add docstring for RoIAlignRotated
* remove cuda unittest
* Reformat c++ code
* add onnx roi align rotated file
* fix unittest
* Add cpu and float64 of cuda support for parrots
* code format
* Add unified header to roi align rotated
Co-authored-by: luopeichao <luopeichao@sensetime.com>
* [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
* add grid sample trt support
* fix align_corners=True
* change 'intep' to 'interp', fix bugs of grid sampler, better test script
* remove unused import
* move source comment to the top of trt_grid_sampler_kernel.cu
* add upfirdn2d op
* fix bug in pybind
* add fused bias leakyrelu
* fix bug in fused-bias-leakyrelu
* fix lint error
* fix bug in build cpu version
* fix bug in build cpu version
* fix lint
* fix comment from zww
Co-authored-by: zhangshilong <zhangshilong@sensetime.com>
* add adjust sharpness
* revised according to commnts
* fix bug
* fix docstring
* revise according to comments
* fix blank lines
* revised according to comments
* delete all parrots file
add bbox_overlaps new parrots op impl
* support first new impl parrts op (bbox_overlaps)(success test)
* add box_iou_rotated op, test succeed
* add carafe and carafe_naive op, test succeed (one parrots bug need fix)
* add cc_attention op, test success
* add corner_pool op, test success
* add parrots op deform_conv, test success
* add deform_roi_pool op, test success (but has question)
* add focal loss op, test success (gradcheck)
* add masked_conv2d op, test success
* add modulated_deform_conv op, test success
* add nms and nms_rotated op, test success
* add psamask op, test success
* add roi_align op, test_success
* add roi_pool op, test success
* add sync_bn op, test success
* add tin_shift op, test success
* fix test_deform_roi_pool, add parrots test
* skip test_onnx because parrots does not support onnx
* fix c++ lint
* fix python lint
* fix python lint
* Fix the iter error when the number of GPUs is different during resume
* Add fromstring and unit test
* Remove is_pretty_text
* Fix comment
* Add log info
* Add py format check
* Remove SyntaxError check
* start trt plugin prototype
* Add test module, modify roialign convertor
* finish roi_align trt plugin
* fix conflict of RoiAlign and MMCVRoiAlign
* fix for lint
* fix test tensorrt module
* test_tensorrt move import to test func
* add except error type
* add tensorrt to setup.cfg
* code format with yapf
* fix for clang-format
* move tensorrt_utils to mmcv/tensorrt, add comments, better test module
* fix line endings, docformatter
* isort init, remove trailing whitespace
* add except type
* fix setup.py
* put import extension inside trt setup
* change c++ guard, update pytest script, better setup, etc
* sort import with isort
* sort import with isort
* move init of plugin lib to init_plugins.py
* add scatternd, nms plugin (WIP)
* fix bugs of trt_nms
* add trt nms test module
* fix bugs of scatternd
* code optimize, add comment about nms kernel
* fix transform_if bug of trt_nms_kernel
* fix struct name
* default nms offset=0, fix bugs of batched input
* format with clang-format
* onnx preprocess
* much better nms implementation, no need to transfer memory between host and device
* update preprocess_onnx
* parse constant tensor from initializer in preprocess_onnx
* update nms
* remove unnecessary codes
* workspace aligned address
* format trt_plugin_helper.hpp
* fix index memory bugs
* set alignment to 16 by default
* fix lint
* fix nms offset
* fix bugs of preprocess onnx
* update test for nms
* tensorrt only accept int32, not int64
* update nms comments
* fix indexing for scores in nms
* update trt temp
* make trt-nms compatiable to #803
* fix lint
* add docstring to trt_nms_kernel.cuda, add description to preprocess_onnx
* add comment to score indexing
* fix bugs of max output boxes
Co-authored-by: maningsheng <maningsheng@sensetime.com>
* add initializers and BaseModule for unified parameter initialization
* fix circle import
* bug fix
* add is_init flag in BaseModule
* fix docstring
* sort import and fix doc format
* fix bug
* fix docformat and double quote string
* fix import sort
* import sort
* sort import
* revise according to comments
* fix doc format
* revise according to comments
* revise import and fix typo
* polish code
* revise minors
* revice minors
* revise apply function
* revise bias initialization with probability
* add type test for bias_prob
* revise minors
* Refactor _load_checkpoint fn
* Update _load_checkpoint fn
* Update docs str and add unit test
* Fix unit test
* Fix lint
* Add comment and Optimize function
* Fix docs str
* Update load_ckpt and fix doc str
* Update doc str and add sort unit test
* Update and fix unit test
* Fix unit test
* Update and add unit test
* Fix openmmlab prefix error
* add scatter plugin
* fix bugs of scatternd
* add trt scatternd plugin
* format code with clang-format
* add test for scatternd
* skip test_tensorrt in CI
* remove unused variable
Co-authored-by: maningsheng <maningsheng@sensetime.com>
* add testing function
add unittest for check_dict
add unittest for the function in testing
* polish docstring of testing.py
rename some function
* remove in is_all_zeros
* modify the comment of check_dict
* modify the testing.py according to feedback
* add test about numpy for function dict_contains_subset
* applying unified style
* allow register multi-name for a module simultaneously
* add assertion for name type
* use isintance intead of is_str
* fix bug in unit test
* fix unit test
* start trt plugin prototype
* Add test module, modify roialign convertor
* finish roi_align trt plugin
* fix conflict of RoiAlign and MMCVRoiAlign
* fix for lint
* fix test tensorrt module
* test_tensorrt move import to test func
* add except error type
* add tensorrt to setup.cfg
* code format with yapf
* fix for clang-format
* move tensorrt_utils to mmcv/tensorrt, add comments, better test module
* fix line endings, docformatter
* isort init, remove trailing whitespace
* add except type
* fix setup.py
* put import extension inside trt setup
* change c++ guard, update pytest script, better setup, etc
* sort import with isort
* sort import with isort
* move init of plugin lib to init_plugins.py
* resolve format and add test dependency: tensorrt
* tensorrt should be installed from source not from pypi
* update naming style and input check
* resolve lint error
Co-authored-by: maningsheng <maningsheng@sensetime.com>
* [Enhance]: add onxx simplify
* add simple doc
* add unit test
* update docstring
* resolve some comment
* add test dependency:onnxoptimizer
* Fix onnxruntime register empty libpath
* test onnxruntime version
* set checker to false
* skip test_simplify for torch<1.5.0
* 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>
* Allow to replace nested tuple and list via options
* Add comments
* Fix single nested items
* Simplify the code
* Simplify the code
* Simplify the code
* Simplify the code
* Update docstring
* Update docstring
* Support quotation mark
* modify docstring
* add jit decorator
* add parrots_jit.py
* modify test_parrots_jit.py
* modify for lint
* fix isort
* skip test_parrots_jit.py when build without pytorch
* try ci
* rm log
* fix double quote
* modify for comments and use partial_shape instead of full_shape
* fix for lint
* small modify for parrots 0.9.0rc0
* def skip no elena directly
* add clamp without unittest
* add clamp-act with unit test
* fix name bug
* use logical and
* fix logical_and
* fix linting
* rename ClampLayer to Clamp
* rename ClampLayer to Clamp
Co-authored-by: nbei <631557085@qq.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 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
* 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
* add equalize augmentation in mmcv
* delete unnecessary
* reformat
* remove clip in implementing equalize, and add uint test with case step=0
* remove clip in implementing equalize, and add uint test with case step=0
* add comments for unit test
* rename function name as imequalize
* add Color augmentation
* reformat
* reformat
* reformat docstring
* reformat docstring
* add more unit test
* add more unit test
* add clip value and uint test for image with type float
* rename function name
* Support to split batched_nms when box number is too large
* mv data from gpu to cpu
* Set split_thr through nms_cfg
* clean code
* Update motivation in docstring
* fix typos
* add ema hook
* add ema hook resume
* add ema hook test
* fix typo
* fix according to comment
* delete logger
* fix according to comment
* fix unitest
* fix typo
* fix according to comment
* change to resume_from
* typo
* fix isort
* add pairwise function for 'gaussian' and 'concatenation' mode
* rename test function
* decrease the complexity of nonlocal unittest
* fix typo and make unittest more complete
* add unittest when zero_init is False
* minor fix
* pack theta and phi
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* fix: remove all module wrapper when saving checkpoint
* refactor: move position of if
* docs: add docstring
* refactor: add _save_to_state_dict from official torch
* docs: modify docstring of _save_to_state_dict
* docs: modify docstring
* feat: add unittest
* feat: add DataParallel to unittest
* fix: a bug when model has batchnorm
* docs: update docstring
* update config with predefined variables
* rm redun
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* add test for config
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* support all types
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* newline at the end
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* update
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* extract code into a function and add docs
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* fix and add tests
Signed-off-by: lixuanyi <lixuanyi@sensetime.com>
* add unit tests and fix
* fix
* fix minor
* fix test
* migrate op
* migrate unittest
* update build no torch
* add back use_torch_vision for roi align
* fix type and unit test
* ignore test logging when no torch
* fix no torch ci test
* skip test registry
* remove coverage report when no torch
* fix mac ci order
* install latest pillow when no torch
* mv convws to brisk
* update actiion
* remove 1.3 cuda
* reorder
* add no torch
* fixed version
* make py3.8 on pt1.5
* make py3.8 on pt1.5
* remove torch 1.3
* disable py3.8
* pip
* merge master with cuda compile fix
* add cpu roi align
* fixed test
* fixed no torch
* add CUDA_ARGS
* use one line
* gencode=61
* seperate jobs
* update lint
* use parametrize test
* formart and rename
* unit test for all
* add ext ops, support parrots
* fix lint
* fix lint
* update op from mmdetection
* support non-pytorch env
* fix import bug
* test not import mmcv.op
* rename mmcv.op to mmcv.ops
* fix compile warning
* 1. fix syncbn warning in pytorch 1.5
2. support only cpu compile
3. add point_sample from mmdet
* fix text bug
* update docstrings
* fix line endings
* minor updates
* remove non_local from ops
* bug fix for nonlocal2d
* rename ops_ext to _ext and _ext to _flow_warp_ext
* update the doc
* try clang-format github action
* fix github action
* add ops to api.rst
* fix cpp format
* fix clang format issues
* remove .clang-format
Co-authored-by: Kai Chen <chenkaidev@gmail.com>
* Add utils to calculate model complexity info
* remove _InstanceNorm in unittest
* add docstring and increase unittest coverage
* fix deconv_flops_counter_hook to accept different data shape
* test when model is not a common instance
* put flops_counter.py and weight_init.py into mmcv/cnn/utils folder
* fix import name
* reformat some docstrings
* update the scripts with latest one and remove redundant codes
* directly represent a model without string and eval()
* reformat code
* feat: support for os.environ port for slurm training
* fix: port data type
* feat: add flawed unittest
* feat: add flawed unittest
* docs: add comments
* fix: unittest
* fix: unittest
* add non_local module
* rewrite non local module comments
* perfect docstring and adjust init function
* not to init norm layer
* Correct initialize when there is a norm
* set normal method for both embedded_gaussian and dot_product
* feat: add custom_group to DefaultOptimConstrutor
* refactor: move custom_groups validate to _validate_cfg
* docs: add doc to explain custom_groups
* feat: add unittest for non_exist_key
* refactor: one param per group
* fix: small fix
* fix: name
* docs: docstring
* refactor: change to mult for only lr and wd custom
* docs: docstring
* docs: more explaination
* feat: sort custom key
* docs: add docstring
* refactor: use reverse arg of sorted
* docs: fix comment
* docs: fix comment
* refactor: small modi
* refactor: small modi
* refactor: small modi
* feat: add CosineRestartLrUpdaterHook
* style: rename period to periods
* fix: bug in period 0
* feat: rename eta_min to min_lr and add min_lr_ratio
* docs: fix docstring of restart lr updater
* refactor: use annealing_cos
* docs: add docstring to annealing_cos
* feat: cosine restart lr update hook
* refactor: modify code order for unittest
* add a BaseRunner and rename Runner to EpochBasedRunner
* fix the train/val step
* bug fix
* update unit tests
* fix unit tests
* raise an error if both batch_processor and train_step are set
* add a unit test
* Support path as a key in dict of config
* reformat test case
* update pre-commit version and fix format
* fix bug
* clean code
* reformat
* fix missing parts
* add building bricks of cnn
* add unit tests
* use registry for building bricks
* minor updates
* add scale layer
* add test for scale
* add doc string
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
dingchang
Ezra-Yu
q.yao
Zaida Zhou
Shilong Zhang
Eugene Liu
Miao Zheng
Wenwei Zhang
Leojc
Tong Gao
young
Ma Zerun
Paige Wang
Yining Li
Jerry Jiarui XU
Haodong Duan
Gu Wang
qjqfl
Y_Xuan
Haodong Duan
achaiah
lizz
Junjun2016
Jintao Lin
Dmitry Sidnev
David de la Iglesia Castro
SemyonBevzuk
RunningLeon
v-qjqs
pc
Guangchen Lin
fcakyon
jeffreykuang
Ziyi Wu
gengenkai
v-qjqs
Ziyi Wu
Wang Xiaolin
Rui Xu
Wang Xinjiang
QingChuanWS
tangyanf
q.yao
LXXXXR
sshuair
Ycr
z55250825
Haian Huang(深度眸)
BigBigDream
congee
tangyanf
Kai Chen
WRH
lml131
BigBigDream
yamengxi
Kuro Latency
robin Han
GT9505
David de la Iglesia Castro
Qiaofei Li
Xiaojie Li
Kevin
Cao Yuhang
Yuanhao Zhu
Jintao Lin
Jiamin
Yawei Li
Joanna
louzana
zhuyuanhao
Xintao