GitLab

* add announcement to model compression doc

* update version number to 1.1

Merge v1.1 back to master

* Refactor package installation

* reformat docstring

* fix issue when user is root

* fix builtin pruners bug

* use type_as

* fix pruner bugs and add model compression README

* fix example bugs

* add AutoCompression.md and remove sensitive pruner

* fix tf pruner bugs

* update overview

* Pruner.md

* bugfix

* trigger pipeline

* trigger pipeline

* fix failed trial not shown issue

* fix builtin pruners bug

* Resolve comments in PR 1571

* try to pass ut

* fix typo

* format doc-string

* use tensorflow.compat.v1

* Revert "use tensorflow.compat.v1"

This reverts commit 97a4ed923677c6dfd545fd654c55c424cf490a19.

* Fix dispatcher CUDA_VISIBLE_DEVICES for windows

* refactor pipeline dependencies

Fixed the sequencing of the font attributes to ensure that the parent attributes are not overwritten

* fix gp tuner

* [Proposal] demo compressor (#1402)

model compression

* update doc for model compression (#1509)

* Update Overview.md

* Change Doc (#1510)

* refactor compression sdk (#1562)

* refactor compression sdk

* bugfix

* bugfix

* update ut

* Sync model compression doc and implementation (#1575)

* update doc

* formatting

* bugfix

* add import to examples

* Fix multiphase it cases

Add example for customized advisor and some refactoring

* add support for training_update in codegen and prettify code in nni annotation

add search space key as table additional column

* Refactor web UI to support incremental metric loading

* refactor

* Remove host job

* Move sequence ID to NNI manager

* implement incremental loading

* support specifying gpu for tuner and advisor

* add doc & err catch for gp-tuner: support only numerical values

* PPO tuner for NAS, supports NNI's NAS interface (#1380)

* Fix multiphase issue with gridsearch tuner and batch tuner

* Refactor `receive_customized_trial_result` API

* add doc

* Show startTime and endTime in detail table

* Add example for EfficientNet and upgrade PyTorch in Dockerfile

* add mnist pytorch example

* refine comments

* change links in readme for mnist example

* add config test for pytorch mnist example

* delete duplicated result

* Grammar corrections

* fix broken link