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[Refactor] Refactor SPOS & DetNAS interface
2022-05-18 14:36:06 +00:00
#!/usr/bin/env bash
merge main (#527) * fix bug for autoslim (#511) * fix bug for autoslim * delete resnet50 for dmcp --------- Co-authored-by: liukai <your_email@abc.example> * Add timm (#512) * add timm to optional.txt * fix deit paths * [Feature] Add MMRazor quantization (#513) * [FEATURE] add quant algo `Learned Step Size Quantization` (#346) * update * Fix a bug in make_divisible. (#333) fix bug in make_divisible Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Fix counter mapping bug (#331) * fix counter mapping bug * move judgment into get_counter_type & update UT * [Docs]Add MMYOLO projects link (#334) * [Doc] fix typos in en/usr_guides (#299) * Update README.md * Update README_zh-CN.md Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> * [Features]Support `MethodInputsRecorder` and `FunctionInputsRecorder` (#320) * support MethodInputsRecorder and FunctionInputsRecorder * fix bugs that the model can not be pickled * WIP: add pytest for ema model * fix bugs in recorder and delivery when ema_hook is used * don't register the DummyDataset * fix pytest * updated * retina loss & predict & tesnor DONE * [Feature] Add deit-base (#332) * WIP: support deit * WIP: add deithead * WIP: fix checkpoint hook * fix data preprocessor * fix cfg * WIP: add readme * reset single_teacher_distill * add metafile * add model to model-index * fix configs and readme * [Feature]Feature map visualization (#293) * WIP: vis * WIP: add visualization * WIP: add visualization hook * WIP: support razor visualizer * WIP * WIP: wrap draw_featmap * support feature map visualization * add a demo image for visualization * fix typos * change eps to 1e-6 * add pytest for visualization * fix vis hook * fix arguments' name * fix img path * support draw inference results * add visualization doc * fix figure url * move files Co-authored-by: weihan cao <HIT-cwh> * [Feature] Add kd examples (#305) * support kd for mbv2 and shufflenetv2 * WIP: fix ckpt path * WIP: fix kd r34-r18 * add metafile * fix metafile * delete * [Doc] add documents about pruning. (#313) * init * update user guide * update images * update * update How to prune your model * update how_to_use_config_tool_of_pruning.md * update doc * move location * update * update * update * add mutablechannels.md * add references Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> * [Feature] PyTorch version of `PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient`. (#304) * add pkd * add pytest for pkd * fix cfg * WIP: support fcos3d * WIP: support fcos3d pkd * support mmdet3d * fix cfgs * change eps to 1e-6 and add some comments * fix docstring * fix cfg * add assert * add type hint * WIP: add readme and metafile * fix readme * update metafiles and readme * fix metafile * fix pipeline figure * for RFC * Customed FX initialize * add UT init * [Refactor] Refactor Mutables and Mutators (#324) * refactor mutables * update load fix subnet * add DumpChosen Typehint * adapt UTs * fix lint * Add GroupMixin to ChannelMutator (temporarily) * fix type hints * add GroupMixin doc-string * modified by comments * fix type hits * update subnet format * fix channel group bugs and add UTs * fix doc string * fix comments * refactor diff module forward * fix error in channel mutator doc * fix comments Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Update readme (#341) * update kl readme * update dsnas readme * fix url * Bump version to 1.0.0rc1 (#338) update version * init demo * add customer_tracer * add quantizer * add fake_quant, loop, config * remove CPatcher in custome_tracer * demo_try * init version * modified base.py * pre-rebase * wip of adaround series * adaround experiment * trasfer to s2 * update api * point at sub_reconstruction * pre-checkout * export onnx * add customtracer * fix lint * move custom tracer * fix import * TDO: UTs * Successfully RUN * update loop * update loop docstrings * update quantizer docstrings * update qscheme docstrings * update qobserver docstrings * update tracer docstrings * update UTs init * update UTs init * fix review comments * fix CI * fix UTs * update torch requirements Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: humu789 <humu@pjlab.org.cn> * [Features]Quantize pipeline (#350) * init demo * add customer_tracer * add quantizer * add fake_quant, loop, config * remove CPatcher in custome_tracer * demo_try * init version * modified base.py * pre-rebase * wip of adaround series * adaround experiment * trasfer to s2 * update api * point at sub_reconstruction * pre-checkout * export onnx * add customtracer * fix lint * move custom tracer * fix import * update * updated * retina loss & predict & tesnor DONE * for RFC * Customed FX initialize * add UT init * TDO: UTs * Successfully RUN * update loop * update loop docstrings * update quantizer docstrings * update qscheme docstrings * update qobserver docstrings * update tracer docstrings * update UTs init * update UTs init * fix bugs * fix lsq * refactor quantize pipeline * fix quant * WIP: debug qat * fix lsq bugs * fix qat, docstring in progress * TDO: UTs * fix bugs * fix lsq * refactor quantize pipeline * fix quant * WIP: debug qat * fix lsq bugs * fix qat, docstring in progress * fixed DefaultQconfigs name * fix bugs * add comments and fix typos * delete useless codes * fix bugs and add comments * rename prepare_module_dict * update lsq config Co-authored-by: humu789 <humu@pjlab.org.cn> Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: FreakieHuang <frank0huang@foxmail.com> Co-authored-by: pppppM <gjf_mail@126.com> * [Feature] Add `prepare_for_mmdeploy` interface (#365) * remove useless code * fix build graph module import bug * refactor general quant * rename GeneralQuant to MMArchitectureQuant * fix some dtype bugs * add prepare_for_mmdeploy interface * update prepare for mmdeploy args * fix some comments Co-authored-by: humu789 <humu@pjlab.org.cn> * CodeCamp #132 add MinMaxFloorObserver (#376) * add minmaxfloor_observer.py * add MinMaxFloorObserver and normative docstring * add test for MinMaxFloorObserver * Quant go (#409) * add torch observer * add torch fakequant * refactor base quantizer * add QConfigHander and QSchemeHander & finish quantizer_refactor_beta * passed ptq_pipeline * tmp-commit * fix loop and algorithm * delete fakequant * refactor code structure * remove lsq * valid ptq pipeline * wip * fix del functions * fix * fix lint and pytest Co-authored-by: HIT-cwh <2892770585@qq.com> * [Refactor & Doc] Refactor graph_utils and add docstring and pytest (#420) * refactor graph_utils and add docstring and pytest * fix del fakequant * delete useless codes * Merge dev-1.x into quantize (#430) * Fix a bug in make_divisible. (#333) fix bug in make_divisible Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Fix counter mapping bug (#331) * fix counter mapping bug * move judgment into get_counter_type & update UT * [Docs]Add MMYOLO projects link (#334) * [Doc] fix typos in en/usr_guides (#299) * Update README.md * Update README_zh-CN.md Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> * [Features]Support `MethodInputsRecorder` and `FunctionInputsRecorder` (#320) * support MethodInputsRecorder and FunctionInputsRecorder * fix bugs that the model can not be pickled * WIP: add pytest for ema model * fix bugs in recorder and delivery when ema_hook is used * don't register the DummyDataset * fix pytest * [Feature] Add deit-base (#332) * WIP: support deit * WIP: add deithead * WIP: fix checkpoint hook * fix data preprocessor * fix cfg * WIP: add readme * reset single_teacher_distill * add metafile * add model to model-index * fix configs and readme * [Feature]Feature map visualization (#293) * WIP: vis * WIP: add visualization * WIP: add visualization hook * WIP: support razor visualizer * WIP * WIP: wrap draw_featmap * support feature map visualization * add a demo image for visualization * fix typos * change eps to 1e-6 * add pytest for visualization * fix vis hook * fix arguments' name * fix img path * support draw inference results * add visualization doc * fix figure url * move files Co-authored-by: weihan cao <HIT-cwh> * [Feature] Add kd examples (#305) * support kd for mbv2 and shufflenetv2 * WIP: fix ckpt path * WIP: fix kd r34-r18 * add metafile * fix metafile * delete * [Doc] add documents about pruning. (#313) * init * update user guide * update images * update * update How to prune your model * update how_to_use_config_tool_of_pruning.md * update doc * move location * update * update * update * add mutablechannels.md * add references Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> * [Feature] PyTorch version of `PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient`. (#304) * add pkd * add pytest for pkd * fix cfg * WIP: support fcos3d * WIP: support fcos3d pkd * support mmdet3d * fix cfgs * change eps to 1e-6 and add some comments * fix docstring * fix cfg * add assert * add type hint * WIP: add readme and metafile * fix readme * update metafiles and readme * fix metafile * fix pipeline figure * [Refactor] Refactor Mutables and Mutators (#324) * refactor mutables * update load fix subnet * add DumpChosen Typehint * adapt UTs * fix lint * Add GroupMixin to ChannelMutator (temporarily) * fix type hints * add GroupMixin doc-string * modified by comments * fix type hits * update subnet format * fix channel group bugs and add UTs * fix doc string * fix comments * refactor diff module forward * fix error in channel mutator doc * fix comments Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Update readme (#341) * update kl readme * update dsnas readme * fix url * Bump version to 1.0.0rc1 (#338) update version * [Feature] Add Autoformer algorithm (#315) * update candidates * update subnet_sampler_loop * update candidate * add readme * rename variable * rename variable * clean * update * add doc string * Revert "[Improvement] Support for candidate multiple dimensional search constraints." * [Improvement] Update Candidate with multi-dim search constraints. (#322) * update doc * add support type * clean code * update candidates * clean * xx * set_resource -> set_score * fix ci bug * py36 lint * fix bug * fix check constrain * py36 ci * redesign candidate * fix pre-commit * update cfg * add build_resource_estimator * fix ci bug * remove runner.epoch in testcase * [Feature] Autoformer architecture and dynamicOPs (#327) * add DynamicSequential * dynamiclayernorm * add dynamic_pathchembed * add DynamicMultiheadAttention and DynamicRelativePosition2D * add channel-level dynamicOP * add autoformer algo * clean notes * adapt channel_mutator * vit fly * fix import * mutable init * remove annotation * add DynamicInputResizer * add unittest for mutables * add OneShotMutableChannelUnit_VIT * clean code * reset unit for vit * remove attr * add autoformer backbone UT * add valuemutator UT * clean code * add autoformer algo UT * update classifier UT * fix test error * ignore * make lint * update * fix lint * mutable_attrs * fix test * fix error * remove DynamicInputResizer * fix test ci * remove InputResizer * rename variables * modify type * Continued improvements of ChannelUnit * fix lint * fix lint * remove OneShotMutableChannelUnit * adjust derived type * combination mixins * clean code * fix sample subnet * search loop fly * more annotations * avoid counter warning and modify batch_augment cfg by gy * restore * source_value_mutables restriction * simply arch_setting api * update * clean * fix ut * [Feature] Add performance predictor (#306) * add predictor with 4 handlers * [Improvement] Update Candidate with multi-dim search constraints. (#322) * update doc * add support type * clean code * update candidates * clean * xx * set_resource -> set_score * fix ci bug * py36 lint * fix bug * fix check constrain * py36 ci * redesign candidate * fix pre-commit * update cfg * add build_resource_estimator * fix ci bug * remove runner.epoch in testcase * update metric_predictor: 1. update MetricPredictor; 2. add predictor config for searching; 3. add predictor in evolution_search_loop. * add UT for predictor * add MLPHandler * patch optional.txt for predictors * patch test_evolution_search_loop * refactor apis of predictor and handlers * fix ut and remove predictor_cfg in predictor * adapt new mutable & mutator design * fix ut * remove unness assert after rebase * move predictor-build in __init__ & simplify estimator-build Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> * [Feature] Add DCFF (#295) * add ChannelGroup (#250) * rebase new dev-1.x * modification for adding config_template * add docstring to channel_group.py * add docstring to mutable_channel_group.py * rm channel_group_cfg from Graph2ChannelGroups * change choice type of SequentialChannelGroup from float to int * add a warning about group-wise conv * restore __init__ of dynamic op * in_channel_mutable -> mutable_in_channel * rm abstractproperty * add a comment about VT * rm registry for ChannelGroup * MUTABLECHANNELGROUP -> ChannelGroupType * refine docstring of IndexDict * update docstring * update docstring * is_prunable -> is_mutable * update docstring * fix error in pre-commit * update unittest * add return type * unify init_xxx apit * add unitest about init of MutableChannelGroup * update according to reviews * sequential_channel_group -> sequential_mutable_channel_group Co-authored-by: liukai <liukai@pjlab.org.cn> * Add BaseChannelMutator and refactor Autoslim (#289) * add BaseChannelMutator * add autoslim * tmp * make SequentialMutableChannelGroup accpeted both of num and ratio as choice. and supports divisior * update OneShotMutableChannelGroup * pass supernet training of autoslim * refine autoslim * fix bug in OneShotMutableChannelGroup * refactor make_divisible * fix spell error: channl -> channel * init_using_backward_tracer -> init_from_backward_tracer init_from_fx_tracer -> init_from_fx_tracer * refine SequentialMutableChannelGroup * let mutator support models with dynamicop * support define search space in model * tracer_cfg -> parse_cfg * refine * using -> from * update docstring * update docstring Co-authored-by: liukai <liukai@pjlab.org.cn> * tmpsave * migrate ut * tmpsave2 * add loss collector * refactor slimmable and add l1-norm (#291) * refactor slimmable and add l1-norm * make l1-norm support convnd * update get_channel_groups * add l1-norm_resnet34_8xb32_in1k.py * add pretrained to resnet34-l1 * remove old channel mutator * BaseChannelMutator -> ChannelMutator * update according to reviews * add readme to l1-norm * MBV2_slimmable -> MBV2_slimmable_config Co-authored-by: liukai <liukai@pjlab.org.cn> * update config * fix md & pytorch support <1.9.0 in batchnorm init * Clean old codes. (#296) * remove old dynamic ops * move dynamic ops * clean old mutable_channels * rm OneShotMutableChannel * rm MutableChannel * refine * refine * use SquentialMutableChannel to replace OneshotMutableChannel * refactor dynamicops folder * let SquentialMutableChannel support float Co-authored-by: liukai <liukai@pjlab.org.cn> * fix ci * ci fix py3.6.x & add mmpose * ci fix py3.6.9 in utils/index_dict.py * fix mmpose * minimum_version_cpu=3.7 * fix ci 3.7.13 * fix pruning &meta ci * support python3.6.9 * fix py3.6 import caused by circular import patch in py3.7 * fix py3.6.9 * Add channel-flow (#301) * base_channel_mutator -> channel_mutator * init * update docstring * allow omitting redundant configs for channel * add register_mutable_channel_to_a_module to MutableChannelContainer * update according to reviews 1 * update according to reviews 2 * update according to reviews 3 * remove old docstring * fix error * using->from * update according to reviews * support self-define input channel number * update docstring * chanenl -> channel_elem Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> * support >=3.7 * support py3.6.9 * Rename: ChannelGroup -> ChannelUnit (#302) * refine repr of MutableChannelGroup * rename folder name * ChannelGroup -> ChannelUnit * filename in units folder * channel_group -> channel_unit * groups -> units * group -> unit * update * get_mutable_channel_groups -> get_mutable_channel_units * fix bug * refine docstring * fix ci * fix bug in tracer Co-authored-by: liukai <liukai@pjlab.org.cn> * update new channel config format * update pruning refactor * update merged pruning * update commit * fix dynamic_conv_mixin * update comments: readme&dynamic_conv_mixins.py * update readme * move kl softmax channel pooling to op by comments * fix comments: fix redundant & split README.md * dcff in ItePruneAlgorithm * partial dynamic params for fuseconv * add step_freq & prune_time check * update comments * update comments * update comments * fix ut * fix gpu ut & revise step_freq in ItePruneAlgorithm * update readme * revise ItePruneAlgorithm * fix docs * fix dynamic_conv attr * fix ci Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: jacky <jacky@xx.com> * [Fix] Fix optional requirements (#357) * fix optional requirements * fix dcff ut * fix import with get_placeholder * supplement the previous commit * [Fix] Fix configs of wrn models and ofd. (#361) * 1.revise the configs of wrn22, wrn24, and wrn40. 2.revise the data_preprocessor of ofd_backbone_resnet50_resnet18_8xb16_cifar10 * 1.Add README for vanilla-wrm. * 1.Revise readme of wrn Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> * [Fix] Fix bug on mmrazor visualization, mismatch argument in define and use. (#356) fix bug on mmrazor visualization, mismatch argument in define and use. Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> * fix bug in benchmark_test (#364) fix bug in configs Co-authored-by: Your Name <you@example.com> * [FIX] Fix wrn configs (#368) * fix wrn configs * fix wrn configs * update online wrn model weight * [Fix] fix bug on pkd config. Wrong import filename. (#373) * [CI] Update ci to torch1.13 (#380) update ci to torch1.13 * [Feature] Add BigNAS algorithm (#219) * add calibrate-bn-statistics * add test calibrate-bn-statistics * fix mixins * fix mixins * fix mixin tests * remove slimmable channel mutable and refactor dynamic op * refact dynamic batch norm * add progressive dynamic conv2d * add center crop dynamic conv2d * refactor dynamic directory * refactor dynamic sequential * rename length to depth in dynamic sequential * add test for derived mutable * refactor dynamic op * refactor api of dynamic op * add derive mutable mixin * addbignas algorithm * refactor bignas structure * add input resizer * add input resizer to bignas * move input resizer from algorithm into classifier * remove compnents * add attentive mobilenet * delete json file * nearly(less 0.2) align inference accuracy with gml * move mutate seperated in bignas mobilenet backbone * add zero_init_residual * add set_dropout * set dropout in bignas algorithm * fix registry * add subnet yaml and nearly align inference accuracy with gml * add rsb config for bignas * remove base in config * add gml bignas config * convert to iter based * bignas forward and backward fly * fix merge conflict * fix dynamicseq bug * fix bug and refactor bignas * arrange configs of bignas * fix typo * refactor attentive_mobilenet * fix channel mismatch due to registion of DerivedMutable * update bignas & fix se channel mismatch * add AutoAugmentV2 & remove unness configs * fix lint * recover channel assertion in channel unit * fix a group bug * fix comments * add docstring * add norm in dynamic_embed * fix search loop & other minor changes * fix se expansion * minor change * add ut for bignas & attentive_mobilenet * fix ut * update bignas readme * rm unness ut & supplement get_placeholder * fix lint * fix ut * add subnet deployment in downstream tasks. * minor change * update ofa backbone * minor fix * Continued improvements of searchable backbone * minor change * drop ratio in backbone * fix comments * fix ci test * fix test * add dynamic shortcut UT * modify strategy to fit bignas * fix test * fix bug in neck * fix error * fix error * fix yaml * save subnet ckpt * merge autoslim_val/test_loop into subnet_val_loop * move calibrate_bn_mixin to utils * fix bugs and add docstring * clean code * fix register bug * clean code * update Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: aptsunny <aptsunny@tongji.edu.cn> Co-authored-by: sunyue1 <sunyue1@sensetime.com> * [Bug] Fix ckpt (#372) fix ckpt * [Feature] Add tools to convert distill ckpt to student-only ckpt. (#381) * [Feature] Add tools to convert distill ckpt to student-only ckpt. * fix bug. * add --model-only to only save model. * Make changes accroding to PR review. * Enhance the Abilities of the Tracer for Pruning. (#371) * tmp * add new mmdet models * add docstring * pass test and pre-commit * rm razor tracer * update fx tracer, now it can automatically wrap methods and functions. * update tracer passed models * add warning for torch <1.12.0 fix bug for python3.6 update placeholder to support placeholder.XXX * fix bug * update docs * fix lint * fix parse_cfg in configs * restore mutablechannel * test ite prune algorithm when using dist * add get_model_from_path to MMModelLibrrary * add mm models to DefaultModelLibrary * add uts * fix bug * fix bug * add uts * add uts * add uts * add uts * fix bug * restore ite_prune_algorithm * update doc * PruneTracer -> ChannelAnalyzer * prune_tracer -> channel_analyzer * add test for fxtracer * fix bug * fix bug * PruneTracer -> ChannelAnalyzer refine * CustomFxTracer -> MMFxTracer * fix bug when test with torch<1.12 * update print log * fix lint * rm unuseful code Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: liukai <your_email@abc.example> * fix bug in placer holder (#395) * fix bug in placer holder * remove redundent comment Co-authored-by: liukai <your_email@abc.example> * Add get_prune_config and a demo config_pruning (#389) * update tools and test * add demo * disable test doc * add switch for test tools and test_doc * fix bug * update doc * update tools name * mv get_channel_units Co-authored-by: liukai <your_email@abc.example> * [Improvement] Adapt OFA series with SearchableMobileNetV3 (#385) * fix mutable bug in AttentiveMobileNetV3 * remove unness code * update ATTENTIVE_SUBNET_A0-A6.yaml with optimized names * unify the sampling usage in sandwich_rule-based NAS * use alias to export subnet * update OFA configs * fix attr bug * fix comments * update convert_supernet2subnet.py * correct the way to dump DerivedMutable * fix convert index bug * update OFA configs & models * fix dynamic2static * generalize convert_ofa_ckpt.py * update input_resizer * update README.md * fix ut * update export_fix_subnet * update _dynamic_to_static * update fix_subnet UT & minor fix bugs * fix ut * add new autoaug compared to attentivenas * clean * fix act * fix act_cfg * update fix_subnet * fix lint * add docstring Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: aptsunny <aptsunny@tongji.edu.cn> * [Fix]Dcff Deploy Revision (#383) * dcff deploy revision * tempsave * update fix_subnet * update mutator load * export/load_fix_subnet revision for mutator * update fix_subnet with dev-1.x * update comments * update docs * update registry * [Fix] Fix commands in README to adapt branch 1.x (#400) * update commands in README for 1.x * fix commands Co-authored-by: gaoyang07 <1546308416@qq.com> * Set requires_grad to False if the teacher is not trainable (#398) * add choice and mask of units to checkpoint (#397) * add choice and mask of units to checkpoint * update * fix bug * remove device operation * fix bug * fix circle ci error * fix error in numpy for circle ci * fix bug in requirements * restore * add a note * a new solution * save mutable_channel.mask as float for dist training * refine * mv meta file test Co-authored-by: liukai <your_email@abc.example> Co-authored-by: jacky <jacky@xx.com> * [Bug]Fix fpn teacher distill (#388) fix fpn distill * [CodeCamp #122] Support KD algorithm MGD for detection. (#377) * [Feature] Support KD algorithm MGD for detection. * use connector to beauty mgd. * fix typo, add unitest. * fix mgd loss unitest. * fix mgd connector unitest. * add model pth and log file. * add mAP. * update l1 config (#405) * add l1 config * update l1 config Co-authored-by: jacky <jacky@xx.com> * [Feature] Add greedy search for AutoSlim (#336) * WIP: add greedysearch * fix greedy search and add bn_training_mode to autoslim * fix cfg files * fix autoslim configs * fix bugs when converting dynamic bn to static bn * change to test loop * refactor greedy search * rebase and fix greedysearch * fix lint * fix and delete useless codes * fix pytest * fix pytest and add bn_training_mode * fix lint * add reference to AutoSlimGreedySearchLoop's docstring * sort candidate_choices * fix save subnet * delete useless codes in channel container * change files' name: convert greedy_search_loop to autoslim_greedy_search_loop * [Fix] Fix metafile (#422) * fix ckpt path in metafile and readme * fix darts file path * fix docstring in ConfigurableDistiller * fix darts * fix error * add darts of mmrazor version * delete py36 Co-authored-by: liukai <your_email@abc.example> * update bignas cfg (#412) * check attentivenas training * update ckpt link * update supernet log Co-authored-by: aptsunny <aptsunny@tongji.edu.cn> * Bump version to 1.0.0rc2 (#423) bump version to 1.0.0rc2 Co-authored-by: liukai <your_email@abc.example> * fix lint * fix ci * add tmp docstring for passed ci * add tmp docstring for passed ci * fix ci * add get_placeholder for quant * add skip for unittest * fix package placeholder bug * add version judgement in __init__ * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> Co-authored-by: zengyi <31244134+spynccat@users.noreply.github.com> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: zhongyu zhang <43191879+wilxy@users.noreply.github.com> Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> Co-authored-by: Xianpan Zhou <32625100+TinyTigerPan@users.noreply.github.com> Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: P.Huang <37200926+FreakieHuang@users.noreply.github.com> Co-authored-by: qiufeng <44188071+wutongshenqiu@users.noreply.github.com> Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: sunyue1 <sunyue1@sensetime.com> Co-authored-by: liukai <your_email@abc.example> Co-authored-by: Ming-Hsuan-Tu <qrnnis2623891@gmail.com> Co-authored-by: Yivona <120088893+yivona08@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@alumni.tongji.edu.cn> * [Docs] Add docstring and unittest about backendconfig & observer & fakequant (#428) * add ut about backendconfig * add ut about observers and fakequants in torch * fix torch1.13 ci * [Docs] Add docstring for `MMArchitectureQuant` & `NativeQuantizer` (#425) * add docstring on mm_architecture& native_quantizer * add naive openvino r18 qat config & dist_ptq.sh * Added a more accurate description * unitest&doc * checkpoint url * unitest * passed_pre_commit * unitest on native_quantizer& fix bugs * remove dist_ptq * add get_placeholder&skipTest * complete arg descriptions * fix import bugs * fix pre-commit * add get_placeholder * add typehint and doctring * update docstring&typehint * update docstring * pre-commit * fix some problems * fix bug * [Docs] Add docstring and unitest about custom tracer (#427) * rename QConfigHandler and QSchemeHandler * add docstring about custom tracer * add ut about custom tracer * fix torch1.13 ci * fix lint * fix ci * fix ci * [Docs & Refactor] Add docstring and UT of other quantizers (#439) * add quantizer docstring and refactor the interface of AcademicQuantizer * add AcademicQuantizer unittest * add TensorRTQuantizer and OpenVINOQuantizer unittest & refactor prepare interface * adapt torch113 ci * fix import * fix lint * update some docstring * fix ci * [Feature&Doc]Modify ptq pipeline and support lsq (#435) * modify ptq pipeline and support lsq * use placeholder * fix lsq && quantloop * add lsq pytest * add quant loop pytest * test lsq observer * fix bug under pt13 * fix reset_min_max_vals * fix bugs under pt13 * fix configs * add get_qconfig_mapping * delete is_qat, add doc and fix pytest * delete useless codes in custom_tracer * skip pytest under pt13 * add todo: check freezebn * fix pytest bugs * fix pytest * fix pytest * fix pytest * [Docs] Add customize_quantization_tutorial (#440) * [Docs] Add quantization user guide (#441) * add quantization user guide * fix layout * fix layout * update README * [Bug] Fix del redundant fakequant (#447) fix del redundant fakequant * [Feature] Add onnx exporters (#475) * fix del redundant fakequant * add onnx exporters * fix onnx exporters and add docstring * fix comments * delete useless codes * fix export_onnx in native quantizer --------- Co-authored-by: pppppM <gjf_mail@126.com> * [Feature]Rewrite the origin model during prepare (#488) * add rewriter * add deploy_cfg arg * modify post_process_for_mmdeploy * fix bugs * add det config * [Feature] Using rewriter in mmrazor when building qmodels. (#490) * add rewriter * add deploy_cfg arg * modify post_process_for_mmdeploy * fix bugs * add det config * replace deepcopy * pop detectors' forward * [Feature] Quantization global optimization (#491) * add trtquantizer * unify all fakequant before deploy * move to aide * add yolox config * pre-rebase * add unittest * add a arg of post_process_for_deploy * test trt yolox deploy * opt quantizer interface * fix rebase * add trt r50 config * update trt setting * del redundant code * fix lint * fix ut of quantizers * del redundant file * fix lint * fix some comments * Fix code syntax in UT (#470) Co-authored-by: 王盟 <unicorn@MacBook-Pro.local> * passed lint and pytest * try to fix ci * [Bug] Try to fix CI (#502) fix lint * [Feature] Support lsq (#501) * support deploy_cfg=None * replace fakequant before load ckpt * add _load_from_state_dict to lsq fakequant * fix pre-commit * test lsq load state dict * change github ci: ubuntu 18.04 to ubuntu 20.04 * get_deploy_model order change back * sync before save ckpt * delete strict=False * test context rewriter * fix pre commit config * try to fix ci * [Bug] Try to fix CI (#502) fix lint --------- Co-authored-by: humu789 <humu@pjlab.org.cn> Co-authored-by: humu789 <88702197+humu789@users.noreply.github.com> * [Feature] Add exporter pytest (#504) * add exporter pytest * fix bugs * delete useless codes * handle onnx * delete useless codes * [Bug] Fix ci converage setting (#508) fix ci converage * [Bug] Fix codecov (#509) * remove codecov in requirements * try to fix ci * del adaround loss * [BUG] Fix quantization loop (#507) * fix quantization loop * fix quant loop * fix quant loop * fix qat configs * [Bug] Fix ci converage setting (#508) fix ci converage * [Bug] Fix codecov (#509) * remove codecov in requirements * try to fix ci * del adaround loss * add freeze_bn_begin to lsq * delete useless codes --------- Co-authored-by: humu789 <88702197+humu789@users.noreply.github.com> * add test ptq * opt ptq pipeline * refactor quant configs * update config path * add summary analyse tool * fix benchmark_test:detnas_frcnn_shufflenet_subnet_coco_1x.py * update quantization README.md * update quantization metafile, readme, config path * update quantization docs * update git main link in workflow * update benchmark_summary_analyse.py * del dmcp results * [Bug] fix a rebase error (#514) fix a rebase error * [Bug] Fix CI (#515) * fix ci * mmcv2.0 need torch1.8+ * Update CI config and Passed (#516) * test ci * update test.yml based on mmcv2.0.0 * [Docs] Fix cwd test accuary (#517) * test ci * update test.yml based on mmcv2.0.0 * update cwd_logits_pspnet result --------- Co-authored-by: P.Huang <37200926+FreakieHuang@users.noreply.github.com> Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: FreakieHuang <frank0huang@foxmail.com> Co-authored-by: pppppM <gjf_mail@126.com> Co-authored-by: L-Icarus <30308843+L-Icarus@users.noreply.github.com> Co-authored-by: HIT-cwh <2892770585@qq.com> Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> Co-authored-by: zengyi <31244134+spynccat@users.noreply.github.com> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: zhongyu zhang <43191879+wilxy@users.noreply.github.com> Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> Co-authored-by: Xianpan Zhou <32625100+TinyTigerPan@users.noreply.github.com> Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: qiufeng <44188071+wutongshenqiu@users.noreply.github.com> Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: sunyue1 <sunyue1@sensetime.com> Co-authored-by: liukai <your_email@abc.example> Co-authored-by: Ming-Hsuan-Tu <qrnnis2623891@gmail.com> Co-authored-by: Yivona <120088893+yivona08@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@alumni.tongji.edu.cn> Co-authored-by: Ivan Zhang <51170394+415905716@users.noreply.github.com> Co-authored-by: wm901115nwpu <wmnwpu@gmail.com> Co-authored-by: 王盟 <unicorn@MacBook-Pro.local> * [Docs&Feature] Prepare for checkouting default branch and releasing new version (#518) * prepare for checkout default branch * update README.md and model zoo * update installation.md and update dev-1.x links * update README_zh-CN * add changelog * update ci config * update some links in quantization readme * update quantization user guide * update calibrate_dataloader * add interface pop_rewriter_function_record * Bump version to 1.0.0 (#521) * update release time * bump version to 1.0.0 * [CI] Fix merge stage test (#523) fix merge_stage_test in ci --------- Co-authored-by: liukai <your_email@abc.example> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: humu789 <88702197+humu789@users.noreply.github.com> Co-authored-by: P.Huang <37200926+FreakieHuang@users.noreply.github.com> Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: FreakieHuang <frank0huang@foxmail.com> Co-authored-by: pppppM <gjf_mail@126.com> Co-authored-by: L-Icarus <30308843+L-Icarus@users.noreply.github.com> Co-authored-by: HIT-cwh <2892770585@qq.com> Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> Co-authored-by: zengyi <31244134+spynccat@users.noreply.github.com> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: zhongyu zhang <43191879+wilxy@users.noreply.github.com> Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> Co-authored-by: Xianpan Zhou <32625100+TinyTigerPan@users.noreply.github.com> Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: qiufeng <44188071+wutongshenqiu@users.noreply.github.com> Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: sunyue1 <sunyue1@sensetime.com> Co-authored-by: Ming-Hsuan-Tu <qrnnis2623891@gmail.com> Co-authored-by: Yivona <120088893+yivona08@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@alumni.tongji.edu.cn> Co-authored-by: Ivan Zhang <51170394+415905716@users.noreply.github.com> Co-authored-by: wm901115nwpu <wmnwpu@gmail.com> Co-authored-by: 王盟 <unicorn@MacBook-Pro.local>
2023-04-26 16:03:07 +08:00
CONFIG=$1
CHECKPOINT=$2
GPUS=$3
PORT=${PORT:-29500}
[Refactor] Refactor SPOS & DetNAS interface
2022-05-18 14:36:06 +00:00
PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
merge main (#527) * fix bug for autoslim (#511) * fix bug for autoslim * delete resnet50 for dmcp --------- Co-authored-by: liukai <your_email@abc.example> * Add timm (#512) * add timm to optional.txt * fix deit paths * [Feature] Add MMRazor quantization (#513) * [FEATURE] add quant algo `Learned Step Size Quantization` (#346) * update * Fix a bug in make_divisible. (#333) fix bug in make_divisible Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Fix counter mapping bug (#331) * fix counter mapping bug * move judgment into get_counter_type & update UT * [Docs]Add MMYOLO projects link (#334) * [Doc] fix typos in en/usr_guides (#299) * Update README.md * Update README_zh-CN.md Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> * [Features]Support `MethodInputsRecorder` and `FunctionInputsRecorder` (#320) * support MethodInputsRecorder and FunctionInputsRecorder * fix bugs that the model can not be pickled * WIP: add pytest for ema model * fix bugs in recorder and delivery when ema_hook is used * don't register the DummyDataset * fix pytest * updated * retina loss & predict & tesnor DONE * [Feature] Add deit-base (#332) * WIP: support deit * WIP: add deithead * WIP: fix checkpoint hook * fix data preprocessor * fix cfg * WIP: add readme * reset single_teacher_distill * add metafile * add model to model-index * fix configs and readme * [Feature]Feature map visualization (#293) * WIP: vis * WIP: add visualization * WIP: add visualization hook * WIP: support razor visualizer * WIP * WIP: wrap draw_featmap * support feature map visualization * add a demo image for visualization * fix typos * change eps to 1e-6 * add pytest for visualization * fix vis hook * fix arguments' name * fix img path * support draw inference results * add visualization doc * fix figure url * move files Co-authored-by: weihan cao <HIT-cwh> * [Feature] Add kd examples (#305) * support kd for mbv2 and shufflenetv2 * WIP: fix ckpt path * WIP: fix kd r34-r18 * add metafile * fix metafile * delete * [Doc] add documents about pruning. (#313) * init * update user guide * update images * update * update How to prune your model * update how_to_use_config_tool_of_pruning.md * update doc * move location * update * update * update * add mutablechannels.md * add references Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> * [Feature] PyTorch version of `PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient`. (#304) * add pkd * add pytest for pkd * fix cfg * WIP: support fcos3d * WIP: support fcos3d pkd * support mmdet3d * fix cfgs * change eps to 1e-6 and add some comments * fix docstring * fix cfg * add assert * add type hint * WIP: add readme and metafile * fix readme * update metafiles and readme * fix metafile * fix pipeline figure * for RFC * Customed FX initialize * add UT init * [Refactor] Refactor Mutables and Mutators (#324) * refactor mutables * update load fix subnet * add DumpChosen Typehint * adapt UTs * fix lint * Add GroupMixin to ChannelMutator (temporarily) * fix type hints * add GroupMixin doc-string * modified by comments * fix type hits * update subnet format * fix channel group bugs and add UTs * fix doc string * fix comments * refactor diff module forward * fix error in channel mutator doc * fix comments Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Update readme (#341) * update kl readme * update dsnas readme * fix url * Bump version to 1.0.0rc1 (#338) update version * init demo * add customer_tracer * add quantizer * add fake_quant, loop, config * remove CPatcher in custome_tracer * demo_try * init version * modified base.py * pre-rebase * wip of adaround series * adaround experiment * trasfer to s2 * update api * point at sub_reconstruction * pre-checkout * export onnx * add customtracer * fix lint * move custom tracer * fix import * TDO: UTs * Successfully RUN * update loop * update loop docstrings * update quantizer docstrings * update qscheme docstrings * update qobserver docstrings * update tracer docstrings * update UTs init * update UTs init * fix review comments * fix CI * fix UTs * update torch requirements Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: humu789 <humu@pjlab.org.cn> * [Features]Quantize pipeline (#350) * init demo * add customer_tracer * add quantizer * add fake_quant, loop, config * remove CPatcher in custome_tracer * demo_try * init version * modified base.py * pre-rebase * wip of adaround series * adaround experiment * trasfer to s2 * update api * point at sub_reconstruction * pre-checkout * export onnx * add customtracer * fix lint * move custom tracer * fix import * update * updated * retina loss & predict & tesnor DONE * for RFC * Customed FX initialize * add UT init * TDO: UTs * Successfully RUN * update loop * update loop docstrings * update quantizer docstrings * update qscheme docstrings * update qobserver docstrings * update tracer docstrings * update UTs init * update UTs init * fix bugs * fix lsq * refactor quantize pipeline * fix quant * WIP: debug qat * fix lsq bugs * fix qat, docstring in progress * TDO: UTs * fix bugs * fix lsq * refactor quantize pipeline * fix quant * WIP: debug qat * fix lsq bugs * fix qat, docstring in progress * fixed DefaultQconfigs name * fix bugs * add comments and fix typos * delete useless codes * fix bugs and add comments * rename prepare_module_dict * update lsq config Co-authored-by: humu789 <humu@pjlab.org.cn> Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: FreakieHuang <frank0huang@foxmail.com> Co-authored-by: pppppM <gjf_mail@126.com> * [Feature] Add `prepare_for_mmdeploy` interface (#365) * remove useless code * fix build graph module import bug * refactor general quant * rename GeneralQuant to MMArchitectureQuant * fix some dtype bugs * add prepare_for_mmdeploy interface * update prepare for mmdeploy args * fix some comments Co-authored-by: humu789 <humu@pjlab.org.cn> * CodeCamp #132 add MinMaxFloorObserver (#376) * add minmaxfloor_observer.py * add MinMaxFloorObserver and normative docstring * add test for MinMaxFloorObserver * Quant go (#409) * add torch observer * add torch fakequant * refactor base quantizer * add QConfigHander and QSchemeHander & finish quantizer_refactor_beta * passed ptq_pipeline * tmp-commit * fix loop and algorithm * delete fakequant * refactor code structure * remove lsq * valid ptq pipeline * wip * fix del functions * fix * fix lint and pytest Co-authored-by: HIT-cwh <2892770585@qq.com> * [Refactor & Doc] Refactor graph_utils and add docstring and pytest (#420) * refactor graph_utils and add docstring and pytest * fix del fakequant * delete useless codes * Merge dev-1.x into quantize (#430) * Fix a bug in make_divisible. (#333) fix bug in make_divisible Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Fix counter mapping bug (#331) * fix counter mapping bug * move judgment into get_counter_type & update UT * [Docs]Add MMYOLO projects link (#334) * [Doc] fix typos in en/usr_guides (#299) * Update README.md * Update README_zh-CN.md Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> * [Features]Support `MethodInputsRecorder` and `FunctionInputsRecorder` (#320) * support MethodInputsRecorder and FunctionInputsRecorder * fix bugs that the model can not be pickled * WIP: add pytest for ema model * fix bugs in recorder and delivery when ema_hook is used * don't register the DummyDataset * fix pytest * [Feature] Add deit-base (#332) * WIP: support deit * WIP: add deithead * WIP: fix checkpoint hook * fix data preprocessor * fix cfg * WIP: add readme * reset single_teacher_distill * add metafile * add model to model-index * fix configs and readme * [Feature]Feature map visualization (#293) * WIP: vis * WIP: add visualization * WIP: add visualization hook * WIP: support razor visualizer * WIP * WIP: wrap draw_featmap * support feature map visualization * add a demo image for visualization * fix typos * change eps to 1e-6 * add pytest for visualization * fix vis hook * fix arguments' name * fix img path * support draw inference results * add visualization doc * fix figure url * move files Co-authored-by: weihan cao <HIT-cwh> * [Feature] Add kd examples (#305) * support kd for mbv2 and shufflenetv2 * WIP: fix ckpt path * WIP: fix kd r34-r18 * add metafile * fix metafile * delete * [Doc] add documents about pruning. (#313) * init * update user guide * update images * update * update How to prune your model * update how_to_use_config_tool_of_pruning.md * update doc * move location * update * update * update * add mutablechannels.md * add references Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> * [Feature] PyTorch version of `PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient`. (#304) * add pkd * add pytest for pkd * fix cfg * WIP: support fcos3d * WIP: support fcos3d pkd * support mmdet3d * fix cfgs * change eps to 1e-6 and add some comments * fix docstring * fix cfg * add assert * add type hint * WIP: add readme and metafile * fix readme * update metafiles and readme * fix metafile * fix pipeline figure * [Refactor] Refactor Mutables and Mutators (#324) * refactor mutables * update load fix subnet * add DumpChosen Typehint * adapt UTs * fix lint * Add GroupMixin to ChannelMutator (temporarily) * fix type hints * add GroupMixin doc-string * modified by comments * fix type hits * update subnet format * fix channel group bugs and add UTs * fix doc string * fix comments * refactor diff module forward * fix error in channel mutator doc * fix comments Co-authored-by: liukai <liukai@pjlab.org.cn> * [Fix] Update readme (#341) * update kl readme * update dsnas readme * fix url * Bump version to 1.0.0rc1 (#338) update version * [Feature] Add Autoformer algorithm (#315) * update candidates * update subnet_sampler_loop * update candidate * add readme * rename variable * rename variable * clean * update * add doc string * Revert "[Improvement] Support for candidate multiple dimensional search constraints." * [Improvement] Update Candidate with multi-dim search constraints. (#322) * update doc * add support type * clean code * update candidates * clean * xx * set_resource -> set_score * fix ci bug * py36 lint * fix bug * fix check constrain * py36 ci * redesign candidate * fix pre-commit * update cfg * add build_resource_estimator * fix ci bug * remove runner.epoch in testcase * [Feature] Autoformer architecture and dynamicOPs (#327) * add DynamicSequential * dynamiclayernorm * add dynamic_pathchembed * add DynamicMultiheadAttention and DynamicRelativePosition2D * add channel-level dynamicOP * add autoformer algo * clean notes * adapt channel_mutator * vit fly * fix import * mutable init * remove annotation * add DynamicInputResizer * add unittest for mutables * add OneShotMutableChannelUnit_VIT * clean code * reset unit for vit * remove attr * add autoformer backbone UT * add valuemutator UT * clean code * add autoformer algo UT * update classifier UT * fix test error * ignore * make lint * update * fix lint * mutable_attrs * fix test * fix error * remove DynamicInputResizer * fix test ci * remove InputResizer * rename variables * modify type * Continued improvements of ChannelUnit * fix lint * fix lint * remove OneShotMutableChannelUnit * adjust derived type * combination mixins * clean code * fix sample subnet * search loop fly * more annotations * avoid counter warning and modify batch_augment cfg by gy * restore * source_value_mutables restriction * simply arch_setting api * update * clean * fix ut * [Feature] Add performance predictor (#306) * add predictor with 4 handlers * [Improvement] Update Candidate with multi-dim search constraints. (#322) * update doc * add support type * clean code * update candidates * clean * xx * set_resource -> set_score * fix ci bug * py36 lint * fix bug * fix check constrain * py36 ci * redesign candidate * fix pre-commit * update cfg * add build_resource_estimator * fix ci bug * remove runner.epoch in testcase * update metric_predictor: 1. update MetricPredictor; 2. add predictor config for searching; 3. add predictor in evolution_search_loop. * add UT for predictor * add MLPHandler * patch optional.txt for predictors * patch test_evolution_search_loop * refactor apis of predictor and handlers * fix ut and remove predictor_cfg in predictor * adapt new mutable & mutator design * fix ut * remove unness assert after rebase * move predictor-build in __init__ & simplify estimator-build Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> * [Feature] Add DCFF (#295) * add ChannelGroup (#250) * rebase new dev-1.x * modification for adding config_template * add docstring to channel_group.py * add docstring to mutable_channel_group.py * rm channel_group_cfg from Graph2ChannelGroups * change choice type of SequentialChannelGroup from float to int * add a warning about group-wise conv * restore __init__ of dynamic op * in_channel_mutable -> mutable_in_channel * rm abstractproperty * add a comment about VT * rm registry for ChannelGroup * MUTABLECHANNELGROUP -> ChannelGroupType * refine docstring of IndexDict * update docstring * update docstring * is_prunable -> is_mutable * update docstring * fix error in pre-commit * update unittest * add return type * unify init_xxx apit * add unitest about init of MutableChannelGroup * update according to reviews * sequential_channel_group -> sequential_mutable_channel_group Co-authored-by: liukai <liukai@pjlab.org.cn> * Add BaseChannelMutator and refactor Autoslim (#289) * add BaseChannelMutator * add autoslim * tmp * make SequentialMutableChannelGroup accpeted both of num and ratio as choice. and supports divisior * update OneShotMutableChannelGroup * pass supernet training of autoslim * refine autoslim * fix bug in OneShotMutableChannelGroup * refactor make_divisible * fix spell error: channl -> channel * init_using_backward_tracer -> init_from_backward_tracer init_from_fx_tracer -> init_from_fx_tracer * refine SequentialMutableChannelGroup * let mutator support models with dynamicop * support define search space in model * tracer_cfg -> parse_cfg * refine * using -> from * update docstring * update docstring Co-authored-by: liukai <liukai@pjlab.org.cn> * tmpsave * migrate ut * tmpsave2 * add loss collector * refactor slimmable and add l1-norm (#291) * refactor slimmable and add l1-norm * make l1-norm support convnd * update get_channel_groups * add l1-norm_resnet34_8xb32_in1k.py * add pretrained to resnet34-l1 * remove old channel mutator * BaseChannelMutator -> ChannelMutator * update according to reviews * add readme to l1-norm * MBV2_slimmable -> MBV2_slimmable_config Co-authored-by: liukai <liukai@pjlab.org.cn> * update config * fix md & pytorch support <1.9.0 in batchnorm init * Clean old codes. (#296) * remove old dynamic ops * move dynamic ops * clean old mutable_channels * rm OneShotMutableChannel * rm MutableChannel * refine * refine * use SquentialMutableChannel to replace OneshotMutableChannel * refactor dynamicops folder * let SquentialMutableChannel support float Co-authored-by: liukai <liukai@pjlab.org.cn> * fix ci * ci fix py3.6.x & add mmpose * ci fix py3.6.9 in utils/index_dict.py * fix mmpose * minimum_version_cpu=3.7 * fix ci 3.7.13 * fix pruning &meta ci * support python3.6.9 * fix py3.6 import caused by circular import patch in py3.7 * fix py3.6.9 * Add channel-flow (#301) * base_channel_mutator -> channel_mutator * init * update docstring * allow omitting redundant configs for channel * add register_mutable_channel_to_a_module to MutableChannelContainer * update according to reviews 1 * update according to reviews 2 * update according to reviews 3 * remove old docstring * fix error * using->from * update according to reviews * support self-define input channel number * update docstring * chanenl -> channel_elem Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> * support >=3.7 * support py3.6.9 * Rename: ChannelGroup -> ChannelUnit (#302) * refine repr of MutableChannelGroup * rename folder name * ChannelGroup -> ChannelUnit * filename in units folder * channel_group -> channel_unit * groups -> units * group -> unit * update * get_mutable_channel_groups -> get_mutable_channel_units * fix bug * refine docstring * fix ci * fix bug in tracer Co-authored-by: liukai <liukai@pjlab.org.cn> * update new channel config format * update pruning refactor * update merged pruning * update commit * fix dynamic_conv_mixin * update comments: readme&dynamic_conv_mixins.py * update readme * move kl softmax channel pooling to op by comments * fix comments: fix redundant & split README.md * dcff in ItePruneAlgorithm * partial dynamic params for fuseconv * add step_freq & prune_time check * update comments * update comments * update comments * fix ut * fix gpu ut & revise step_freq in ItePruneAlgorithm * update readme * revise ItePruneAlgorithm * fix docs * fix dynamic_conv attr * fix ci Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: jacky <jacky@xx.com> * [Fix] Fix optional requirements (#357) * fix optional requirements * fix dcff ut * fix import with get_placeholder * supplement the previous commit * [Fix] Fix configs of wrn models and ofd. (#361) * 1.revise the configs of wrn22, wrn24, and wrn40. 2.revise the data_preprocessor of ofd_backbone_resnet50_resnet18_8xb16_cifar10 * 1.Add README for vanilla-wrm. * 1.Revise readme of wrn Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> * [Fix] Fix bug on mmrazor visualization, mismatch argument in define and use. (#356) fix bug on mmrazor visualization, mismatch argument in define and use. Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> * fix bug in benchmark_test (#364) fix bug in configs Co-authored-by: Your Name <you@example.com> * [FIX] Fix wrn configs (#368) * fix wrn configs * fix wrn configs * update online wrn model weight * [Fix] fix bug on pkd config. Wrong import filename. (#373) * [CI] Update ci to torch1.13 (#380) update ci to torch1.13 * [Feature] Add BigNAS algorithm (#219) * add calibrate-bn-statistics * add test calibrate-bn-statistics * fix mixins * fix mixins * fix mixin tests * remove slimmable channel mutable and refactor dynamic op * refact dynamic batch norm * add progressive dynamic conv2d * add center crop dynamic conv2d * refactor dynamic directory * refactor dynamic sequential * rename length to depth in dynamic sequential * add test for derived mutable * refactor dynamic op * refactor api of dynamic op * add derive mutable mixin * addbignas algorithm * refactor bignas structure * add input resizer * add input resizer to bignas * move input resizer from algorithm into classifier * remove compnents * add attentive mobilenet * delete json file * nearly(less 0.2) align inference accuracy with gml * move mutate seperated in bignas mobilenet backbone * add zero_init_residual * add set_dropout * set dropout in bignas algorithm * fix registry * add subnet yaml and nearly align inference accuracy with gml * add rsb config for bignas * remove base in config * add gml bignas config * convert to iter based * bignas forward and backward fly * fix merge conflict * fix dynamicseq bug * fix bug and refactor bignas * arrange configs of bignas * fix typo * refactor attentive_mobilenet * fix channel mismatch due to registion of DerivedMutable * update bignas & fix se channel mismatch * add AutoAugmentV2 & remove unness configs * fix lint * recover channel assertion in channel unit * fix a group bug * fix comments * add docstring * add norm in dynamic_embed * fix search loop & other minor changes * fix se expansion * minor change * add ut for bignas & attentive_mobilenet * fix ut * update bignas readme * rm unness ut & supplement get_placeholder * fix lint * fix ut * add subnet deployment in downstream tasks. * minor change * update ofa backbone * minor fix * Continued improvements of searchable backbone * minor change * drop ratio in backbone * fix comments * fix ci test * fix test * add dynamic shortcut UT * modify strategy to fit bignas * fix test * fix bug in neck * fix error * fix error * fix yaml * save subnet ckpt * merge autoslim_val/test_loop into subnet_val_loop * move calibrate_bn_mixin to utils * fix bugs and add docstring * clean code * fix register bug * clean code * update Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: aptsunny <aptsunny@tongji.edu.cn> Co-authored-by: sunyue1 <sunyue1@sensetime.com> * [Bug] Fix ckpt (#372) fix ckpt * [Feature] Add tools to convert distill ckpt to student-only ckpt. (#381) * [Feature] Add tools to convert distill ckpt to student-only ckpt. * fix bug. * add --model-only to only save model. * Make changes accroding to PR review. * Enhance the Abilities of the Tracer for Pruning. (#371) * tmp * add new mmdet models * add docstring * pass test and pre-commit * rm razor tracer * update fx tracer, now it can automatically wrap methods and functions. * update tracer passed models * add warning for torch <1.12.0 fix bug for python3.6 update placeholder to support placeholder.XXX * fix bug * update docs * fix lint * fix parse_cfg in configs * restore mutablechannel * test ite prune algorithm when using dist * add get_model_from_path to MMModelLibrrary * add mm models to DefaultModelLibrary * add uts * fix bug * fix bug * add uts * add uts * add uts * add uts * fix bug * restore ite_prune_algorithm * update doc * PruneTracer -> ChannelAnalyzer * prune_tracer -> channel_analyzer * add test for fxtracer * fix bug * fix bug * PruneTracer -> ChannelAnalyzer refine * CustomFxTracer -> MMFxTracer * fix bug when test with torch<1.12 * update print log * fix lint * rm unuseful code Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: liukai <your_email@abc.example> * fix bug in placer holder (#395) * fix bug in placer holder * remove redundent comment Co-authored-by: liukai <your_email@abc.example> * Add get_prune_config and a demo config_pruning (#389) * update tools and test * add demo * disable test doc * add switch for test tools and test_doc * fix bug * update doc * update tools name * mv get_channel_units Co-authored-by: liukai <your_email@abc.example> * [Improvement] Adapt OFA series with SearchableMobileNetV3 (#385) * fix mutable bug in AttentiveMobileNetV3 * remove unness code * update ATTENTIVE_SUBNET_A0-A6.yaml with optimized names * unify the sampling usage in sandwich_rule-based NAS * use alias to export subnet * update OFA configs * fix attr bug * fix comments * update convert_supernet2subnet.py * correct the way to dump DerivedMutable * fix convert index bug * update OFA configs & models * fix dynamic2static * generalize convert_ofa_ckpt.py * update input_resizer * update README.md * fix ut * update export_fix_subnet * update _dynamic_to_static * update fix_subnet UT & minor fix bugs * fix ut * add new autoaug compared to attentivenas * clean * fix act * fix act_cfg * update fix_subnet * fix lint * add docstring Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: aptsunny <aptsunny@tongji.edu.cn> * [Fix]Dcff Deploy Revision (#383) * dcff deploy revision * tempsave * update fix_subnet * update mutator load * export/load_fix_subnet revision for mutator * update fix_subnet with dev-1.x * update comments * update docs * update registry * [Fix] Fix commands in README to adapt branch 1.x (#400) * update commands in README for 1.x * fix commands Co-authored-by: gaoyang07 <1546308416@qq.com> * Set requires_grad to False if the teacher is not trainable (#398) * add choice and mask of units to checkpoint (#397) * add choice and mask of units to checkpoint * update * fix bug * remove device operation * fix bug * fix circle ci error * fix error in numpy for circle ci * fix bug in requirements * restore * add a note * a new solution * save mutable_channel.mask as float for dist training * refine * mv meta file test Co-authored-by: liukai <your_email@abc.example> Co-authored-by: jacky <jacky@xx.com> * [Bug]Fix fpn teacher distill (#388) fix fpn distill * [CodeCamp #122] Support KD algorithm MGD for detection. (#377) * [Feature] Support KD algorithm MGD for detection. * use connector to beauty mgd. * fix typo, add unitest. * fix mgd loss unitest. * fix mgd connector unitest. * add model pth and log file. * add mAP. * update l1 config (#405) * add l1 config * update l1 config Co-authored-by: jacky <jacky@xx.com> * [Feature] Add greedy search for AutoSlim (#336) * WIP: add greedysearch * fix greedy search and add bn_training_mode to autoslim * fix cfg files * fix autoslim configs * fix bugs when converting dynamic bn to static bn * change to test loop * refactor greedy search * rebase and fix greedysearch * fix lint * fix and delete useless codes * fix pytest * fix pytest and add bn_training_mode * fix lint * add reference to AutoSlimGreedySearchLoop's docstring * sort candidate_choices * fix save subnet * delete useless codes in channel container * change files' name: convert greedy_search_loop to autoslim_greedy_search_loop * [Fix] Fix metafile (#422) * fix ckpt path in metafile and readme * fix darts file path * fix docstring in ConfigurableDistiller * fix darts * fix error * add darts of mmrazor version * delete py36 Co-authored-by: liukai <your_email@abc.example> * update bignas cfg (#412) * check attentivenas training * update ckpt link * update supernet log Co-authored-by: aptsunny <aptsunny@tongji.edu.cn> * Bump version to 1.0.0rc2 (#423) bump version to 1.0.0rc2 Co-authored-by: liukai <your_email@abc.example> * fix lint * fix ci * add tmp docstring for passed ci * add tmp docstring for passed ci * fix ci * add get_placeholder for quant * add skip for unittest * fix package placeholder bug * add version judgement in __init__ * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit * update prev commit Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> Co-authored-by: zengyi <31244134+spynccat@users.noreply.github.com> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: zhongyu zhang <43191879+wilxy@users.noreply.github.com> Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> Co-authored-by: Xianpan Zhou <32625100+TinyTigerPan@users.noreply.github.com> Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: P.Huang <37200926+FreakieHuang@users.noreply.github.com> Co-authored-by: qiufeng <44188071+wutongshenqiu@users.noreply.github.com> Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: sunyue1 <sunyue1@sensetime.com> Co-authored-by: liukai <your_email@abc.example> Co-authored-by: Ming-Hsuan-Tu <qrnnis2623891@gmail.com> Co-authored-by: Yivona <120088893+yivona08@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@alumni.tongji.edu.cn> * [Docs] Add docstring and unittest about backendconfig & observer & fakequant (#428) * add ut about backendconfig * add ut about observers and fakequants in torch * fix torch1.13 ci * [Docs] Add docstring for `MMArchitectureQuant` & `NativeQuantizer` (#425) * add docstring on mm_architecture& native_quantizer * add naive openvino r18 qat config & dist_ptq.sh * Added a more accurate description * unitest&doc * checkpoint url * unitest * passed_pre_commit * unitest on native_quantizer& fix bugs * remove dist_ptq * add get_placeholder&skipTest * complete arg descriptions * fix import bugs * fix pre-commit * add get_placeholder * add typehint and doctring * update docstring&typehint * update docstring * pre-commit * fix some problems * fix bug * [Docs] Add docstring and unitest about custom tracer (#427) * rename QConfigHandler and QSchemeHandler * add docstring about custom tracer * add ut about custom tracer * fix torch1.13 ci * fix lint * fix ci * fix ci * [Docs & Refactor] Add docstring and UT of other quantizers (#439) * add quantizer docstring and refactor the interface of AcademicQuantizer * add AcademicQuantizer unittest * add TensorRTQuantizer and OpenVINOQuantizer unittest & refactor prepare interface * adapt torch113 ci * fix import * fix lint * update some docstring * fix ci * [Feature&Doc]Modify ptq pipeline and support lsq (#435) * modify ptq pipeline and support lsq * use placeholder * fix lsq && quantloop * add lsq pytest * add quant loop pytest * test lsq observer * fix bug under pt13 * fix reset_min_max_vals * fix bugs under pt13 * fix configs * add get_qconfig_mapping * delete is_qat, add doc and fix pytest * delete useless codes in custom_tracer * skip pytest under pt13 * add todo: check freezebn * fix pytest bugs * fix pytest * fix pytest * fix pytest * [Docs] Add customize_quantization_tutorial (#440) * [Docs] Add quantization user guide (#441) * add quantization user guide * fix layout * fix layout * update README * [Bug] Fix del redundant fakequant (#447) fix del redundant fakequant * [Feature] Add onnx exporters (#475) * fix del redundant fakequant * add onnx exporters * fix onnx exporters and add docstring * fix comments * delete useless codes * fix export_onnx in native quantizer --------- Co-authored-by: pppppM <gjf_mail@126.com> * [Feature]Rewrite the origin model during prepare (#488) * add rewriter * add deploy_cfg arg * modify post_process_for_mmdeploy * fix bugs * add det config * [Feature] Using rewriter in mmrazor when building qmodels. (#490) * add rewriter * add deploy_cfg arg * modify post_process_for_mmdeploy * fix bugs * add det config * replace deepcopy * pop detectors' forward * [Feature] Quantization global optimization (#491) * add trtquantizer * unify all fakequant before deploy * move to aide * add yolox config * pre-rebase * add unittest * add a arg of post_process_for_deploy * test trt yolox deploy * opt quantizer interface * fix rebase * add trt r50 config * update trt setting * del redundant code * fix lint * fix ut of quantizers * del redundant file * fix lint * fix some comments * Fix code syntax in UT (#470) Co-authored-by: 王盟 <unicorn@MacBook-Pro.local> * passed lint and pytest * try to fix ci * [Bug] Try to fix CI (#502) fix lint * [Feature] Support lsq (#501) * support deploy_cfg=None * replace fakequant before load ckpt * add _load_from_state_dict to lsq fakequant * fix pre-commit * test lsq load state dict * change github ci: ubuntu 18.04 to ubuntu 20.04 * get_deploy_model order change back * sync before save ckpt * delete strict=False * test context rewriter * fix pre commit config * try to fix ci * [Bug] Try to fix CI (#502) fix lint --------- Co-authored-by: humu789 <humu@pjlab.org.cn> Co-authored-by: humu789 <88702197+humu789@users.noreply.github.com> * [Feature] Add exporter pytest (#504) * add exporter pytest * fix bugs * delete useless codes * handle onnx * delete useless codes * [Bug] Fix ci converage setting (#508) fix ci converage * [Bug] Fix codecov (#509) * remove codecov in requirements * try to fix ci * del adaround loss * [BUG] Fix quantization loop (#507) * fix quantization loop * fix quant loop * fix quant loop * fix qat configs * [Bug] Fix ci converage setting (#508) fix ci converage * [Bug] Fix codecov (#509) * remove codecov in requirements * try to fix ci * del adaround loss * add freeze_bn_begin to lsq * delete useless codes --------- Co-authored-by: humu789 <88702197+humu789@users.noreply.github.com> * add test ptq * opt ptq pipeline * refactor quant configs * update config path * add summary analyse tool * fix benchmark_test:detnas_frcnn_shufflenet_subnet_coco_1x.py * update quantization README.md * update quantization metafile, readme, config path * update quantization docs * update git main link in workflow * update benchmark_summary_analyse.py * del dmcp results * [Bug] fix a rebase error (#514) fix a rebase error * [Bug] Fix CI (#515) * fix ci * mmcv2.0 need torch1.8+ * Update CI config and Passed (#516) * test ci * update test.yml based on mmcv2.0.0 * [Docs] Fix cwd test accuary (#517) * test ci * update test.yml based on mmcv2.0.0 * update cwd_logits_pspnet result --------- Co-authored-by: P.Huang <37200926+FreakieHuang@users.noreply.github.com> Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: LKJacky <108643365+LKJacky@users.noreply.github.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: FreakieHuang <frank0huang@foxmail.com> Co-authored-by: pppppM <gjf_mail@126.com> Co-authored-by: L-Icarus <30308843+L-Icarus@users.noreply.github.com> Co-authored-by: HIT-cwh <2892770585@qq.com> Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> Co-authored-by: zengyi <31244134+spynccat@users.noreply.github.com> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: zhongyu zhang <43191879+wilxy@users.noreply.github.com> Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> Co-authored-by: Xianpan Zhou <32625100+TinyTigerPan@users.noreply.github.com> Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: qiufeng <44188071+wutongshenqiu@users.noreply.github.com> Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: sunyue1 <sunyue1@sensetime.com> Co-authored-by: liukai <your_email@abc.example> Co-authored-by: Ming-Hsuan-Tu <qrnnis2623891@gmail.com> Co-authored-by: Yivona <120088893+yivona08@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@alumni.tongji.edu.cn> Co-authored-by: Ivan Zhang <51170394+415905716@users.noreply.github.com> Co-authored-by: wm901115nwpu <wmnwpu@gmail.com> Co-authored-by: 王盟 <unicorn@MacBook-Pro.local> * [Docs&Feature] Prepare for checkouting default branch and releasing new version (#518) * prepare for checkout default branch * update README.md and model zoo * update installation.md and update dev-1.x links * update README_zh-CN * add changelog * update ci config * update some links in quantization readme * update quantization user guide * update calibrate_dataloader * add interface pop_rewriter_function_record * Bump version to 1.0.0 (#521) * update release time * bump version to 1.0.0 * [CI] Fix merge stage test (#523) fix merge_stage_test in ci --------- Co-authored-by: liukai <your_email@abc.example> Co-authored-by: whcao <41630003+HIT-cwh@users.noreply.github.com> Co-authored-by: humu789 <88702197+humu789@users.noreply.github.com> Co-authored-by: P.Huang <37200926+FreakieHuang@users.noreply.github.com> Co-authored-by: huangpengsheng <huangpengsheng@sensetime.com> Co-authored-by: liukai <liukai@pjlab.org.cn> Co-authored-by: Yang Gao <Gary1546308416AL@gmail.com> Co-authored-by: kitecats <90194592+kitecats@users.noreply.github.com> Co-authored-by: Sheffield <49406546+SheffieldCao@users.noreply.github.com> Co-authored-by: jacky <jacky@xx.com> Co-authored-by: pppppM <67539920+pppppM@users.noreply.github.com> Co-authored-by: FreakieHuang <frank0huang@foxmail.com> Co-authored-by: pppppM <gjf_mail@126.com> Co-authored-by: L-Icarus <30308843+L-Icarus@users.noreply.github.com> Co-authored-by: HIT-cwh <2892770585@qq.com> Co-authored-by: Yue Sun <aptsunny@tongji.edu.cn> Co-authored-by: zengyi <31244134+spynccat@users.noreply.github.com> Co-authored-by: zengyi.vendor <zengyi.vendor@sensetime.com> Co-authored-by: zhongyu zhang <43191879+wilxy@users.noreply.github.com> Co-authored-by: zhangzhongyu <zhangzhongyu@pjlab.org.cn> Co-authored-by: Xianpan Zhou <32625100+TinyTigerPan@users.noreply.github.com> Co-authored-by: Xianpan Zhou <32625100+PanDaMeow@users.noreply.github.com> Co-authored-by: Your Name <you@example.com> Co-authored-by: qiufeng <44188071+wutongshenqiu@users.noreply.github.com> Co-authored-by: wangshiguang <wangshiguang@sensetime.com> Co-authored-by: gaoyang07 <1546308416@qq.com> Co-authored-by: sunyue1 <sunyue1@sensetime.com> Co-authored-by: Ming-Hsuan-Tu <qrnnis2623891@gmail.com> Co-authored-by: Yivona <120088893+yivona08@users.noreply.github.com> Co-authored-by: Yue Sun <aptsunny@alumni.tongji.edu.cn> Co-authored-by: Ivan Zhang <51170394+415905716@users.noreply.github.com> Co-authored-by: wm901115nwpu <wmnwpu@gmail.com> Co-authored-by: 王盟 <unicorn@MacBook-Pro.local>
2023-04-26 16:03:07 +08:00
python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \
$(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4}
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