GitLab

* New Crowdin translations by Github Action

* remove removed files in en_US
Co-authored-by: Crowdin Bot <support+bot@crowdin.com>

* compression support tf sequential

* minor fix

* move helper functions to Compressor method
Co-authored-by: liuzhe <zhe.liu@microsoft.com>

* draft

* fix bug

* add ut

* fix typo

* skip tfv1 ut environments
Co-authored-by: liuzhe <zhe.liu@microsoft.com>

* fix bug

* update

* Remove the unnecessary debug info.
Signed-off-by: Ningxin <Ningxin.Zheng@microsoft.com>

* fix pylint errpr

* log the final sparsity config.

* fix pylint

* Fix typo and remove todo.
Signed-off-by: Ningxin <Ningxin.Zheng@microsoft.com>

* init sapruner

* seperate sapruners from other one-shot pruners

* update

* fix model params issue

* make the process runnable

* show evaluation result in example

* sort the sparsities and scale it

* fix rescale issue

* fix scale issue; add pruning history

* record the actual total sparsity

* fix sparsity 0/1 problem

* revert useless modif

* revert useless modif

* fix 0 pruning weights problem

* save pruning history in csv file

* fix typo

* remove check perm in Makefile

* use os path

* save config list in json format

* update analyze py; update docker

* update

* update analyze

* update log info in compressor

* init NetAdapt Pruner

* refine examples

* update

* fine tune

* update

* fix quote issue

* add code for imagenet  integrity

* update

* use datasets.ImageNet

* update

* update

* add channel pruning in SAPruner; refine example

* update net_adapt pruner; add dependency constraint in sapruner(beta)

* update

* update

* update

* fix zero division problem

* fix typo

* update

* fix naive issue of NetAdaptPruner

* fix data issue for no-dependency modules

* add cifar10 vgg16 examplel

* update

* update

* fix folder creation issue; change lr for vgg exp

* update

* add save model arg

* fix model copy issue

* init related weights calc

* update analyze file

* NetAdaptPruner: use fine-tuned weights after each iteration; fix modules_wrapper iteration issue

* consider channel/filter cross pruning

* NetAdapt: consider previous op when calc total sparsity

* update

* use customized vgg

* add performances comparison plt

* fix netadaptPruner mask copy issue

* add resnet18 example

* fix example issue

* update experiment data

* fix bool arg parsing issue

* update

* init ADMMPruner

* ADMMPruner: update

* ADMMPruner: finish v1.0

* ADMMPruner: refine

* update

* AutoCompress init

* AutoCompress: update

* AutoCompressPruner: fix issues:

* add test for auto pruners

* add doc for auto pruners

* fix link in md

* remove irrelevant files

* Clean code

* code clean

* fix pylint issue

* fix pylint issue

* rename admm & autoCompress param

* use abs link in doc

* reorder import to fix import issue: autocompress relies on speedup

* refine doc

* NetAdaptPruner: decay pruning step

* take changes from testing branch

* refine

* fix typo

* ADMMPruenr: check base_algo together with config schema

* fix broken link

* doc refine

* ADMM:refine

* refine doc

* refine doc

* refince doc

* refine doc

* refine doc

* refine doc

* update

* update

* refactor AGP doc

* update

* fix optimizer issue

* fix comments: typo, rename AGP_Pruner

* fix torch.nn.Module issue; refine SA docstring

* fix typo
Co-authored-by: Yuge Zhang <scottyugochang@gmail.com>

* update readme

* move doc of model speedup

* add quick start for nas & compression

* add data parallel proposal

* fix mask_weight bug

* add slim pruner support and example

* fix typo

* fix typo

* fix setattr error

* fix buffer update

* rename instrument_layer and prunerLayerWrapper

* fix pylint

* update reverse travsal

* add wrap and unwrap

* add register_buffer API

* update docstring

* update docstring

* add quantizer support

* fix typo

* update MeanActivationPruner, weight_rank_filter_pruner and example