* fix ci for circle ci
* fix bug in test_metafiles
* add pr_stage_test for github ci
* add multiple version
* fix ut
* fix lint
* Temporarily skip dataset UT
* update github ci
* add github lint ci
* install wheel
* remove timm from requirements
* install wheel when test on windows
* fix error
* fix bug
* remove github windows ci
* fix device error of arch_params when DsnasDDP
* fix CRD dataset ut
* fix scope error
* rm test_cuda in workflows of github
* [Doc] fix typos in en/usr_guides
Co-authored-by: liukai <liukai@pjlab.org.cn>
Co-authored-by: pppppM <gjf_mail@126.com>
Co-authored-by: gaoyang07 <1546308416@qq.com>
Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com>
Co-authored-by: SheffieldCao <1751899@tongji.edu.cn>
* update benchmark test
* fix circle ci gpu config
* move delivery, recorder, tracer from structures to task modules
* move ops from models to models.architectures
* rename dynamic_op to dynamic_ops
* fix configs and metafiles
* remove some github ci
* fix configs / readme / metafile
Co-authored-by: gaojianfei <gaojianfei@sensetime.com>
* fix name of mmcv-full to mmcv
* [doc] move the location of nas/kd/pruning; fix lint errors
* optimize docs and fix pre-commit error
* [Doc&Fix] add note for installation; fix the requirements
* update docs
Co-authored-by: humu789 <humu@pjlab.org.cn>
* [doc] add doc of installation, kd, nas, pruning
* [doc] add user guide part
* fix name of mmcv-full to mmcv
* [doc] fix mmcv based on zaida 's suggestion
* [doc] fix index error based on shiguang's comments
* 1.Add FBKD
* 1.Add torch_connector and its ut. 2.Revise readme and fbkd config.
* 1.Revise UT for torch_connectors
* 1.Revise nonlocalblock into a subclass of NonLocal2d in mmcv.cnn
* 1.Add ZSKT algorithm with zskt_generator, at_loss. 2.Add teacher_detach in kl_divergence.
* 1.Amend readme. 2.Revise UT bugs of test_graph and test_distill.
* 1.Amend docstring of zskt_generator
* 1.Add torch version judgment in test_distillation_loss.
* 1.Revise defaults of batch_size to 1 in generators. 2.Revise mmcls.data to mmcls.structures
* 1.Rename function "at" to "calc_attention_matrix".
* 1.Add DAFL, including config, DAFLLoss and readme. 2.Add DataFreeDistillationtillation. 3.Add Generator, including base_generator and dafl_generator. 4.Add get_module_device and set_requires_grad functions in utils.
* 1.Amend the file that report error in mypy test under py37, including gather_tensors, datafree_distillation, base_generator. 2.Revise other linting error.
* 1.Revise some docstrings.
* 1.Add UT for datafreedistillation. 2.Add all typing.hints.
* 1.Add UT for generators and gather_tensors.
* 1.Add assert of batch_size in base_generator
* 1.Isort
Co-authored-by: zhangzhongyu.vendor < zhangzhongyu.vendor@sensetime.com>
* 1.Add ABLoss and its config, readme and pipeline image. 2.Merge all connectors in general_connector into convconnector.
* 1.Improve convconnector to convmoduleconnecotr which aligns with mmcv. 2.Revise UT of test_connector. 3.Revise config of fitnet and abloss. 4.Revise mmcls import of darts_subnet_head to align with the newest mmcls-dev-1.x.
* 1.Simplify ConvModuleConncetor by ConvModule.
Co-authored-by: zhangzhongyu.vendor < zhangzhongyu.vendor@sensetime.com>
* Fix spelling mistakes
* 1.Rename general connectors. 2.Replace nn.conv2 to build_conv_layer, replace nn.bn to build_norm_layer.
* 1. Rename function init_parameters to init_weights in SingleConvConnector to realize automatically invocation.
* 1. Add norm_cfg in config and general_connector
* 1.Move calculate_student_loss to distillation algorithm. 2.Move mmrazor.models.connector to mmrazor.models.architectures. 3.Merge stu_connectors and tea_connectors into connectors, and call connectors by their connector_name.
* 1.Replace connector_name to connector in record_info. 2.Add assert that each connector must be in connectors.
Co-authored-by: zhangzhongyu.vendor < zhangzhongyu.vendor@sensetime.com>
* [Enhance] Add extra dataloader settings in configs (#141)
* [Docs] fix md link failure in docs (#142)
* [Docs] update Cream readme
* delete 'readme.md' in model_zoo.md
* fix md link failure in docs
* [Docs] add myst_parser to extensions in conf.py
* [Docs] delete the deprecated recommonmark
* [Docs] delete recommandmark from conf.py
* [Docs] fix md link failure and lint failture
* [Fix] Fix seed error in mmseg/train_seg.py and typos in train.md (#152)
* [Docs] update Cream readme
* delete 'readme.md' in model_zoo.md
* fix cwd docs and fix seed in #151
* delete readme of cream
* [Enhancement]Support broadcast_object_list in multi-machines & support Searcher running in single GPU (#153)
* broadcast_object_list support multi-machines
* add userwarning
* [Fix] Fix configs (#149)
* fix configs
* fix spos configs
* fix readme
* replace the official mutable_cfg with the mutable_cfg searched by ourselves
* update https prefix
Co-authored-by: pppppM <gjf_mail@126.com>
* [BUG]Support to prune models containing GroupNorm or InstanceNorm. (#144)
* suport GN and IN
* test pruner
* limit pytorch version
* fix pytest
* throw an error when tracing groupnorm with torch version under 1.6.0
Co-authored-by: caoweihan <caoweihan@sensetime.com>
* Bump version to 0.3.1
Co-authored-by: qiufeng <44188071+wutongshenqiu@users.noreply.github.com>
Co-authored-by: PJDong <1115957667@qq.com>
Co-authored-by: humu789 <88702197+humu789@users.noreply.github.com>
Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com>
Co-authored-by: caoweihan <caoweihan@sensetime.com>
LKJacky
whcao
pppppM
humu789
PJDong
P.Huang
zhongyu zhang
zengyi
qiufeng
xiatao
Xiaolin Wang
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