* fix demo

* add unittest

* update unittest

1. Make config of ACT support path, set, list and tuple
2. Refine the implementation of loading config
3. Add wrapper for dataloader to return data in dict format

* optimization yaml

* update yaml

* update yaml

* fix unittest

* fix unittest

* fix opt's cmd for sparse model

* add hardware

* Remove redundant functions and adjust tests' file

* Remove redundant functions and adjust tests' file

* add op predictors for unknown operators

* modify the dowload path of op predictors and opt tools

* add automatic download mode for opt tools

* modify predictor's test files

* modify predictor's test file

* modify predictor's test file

* modify predictor's test files

* add requirements for installing sklearn

* modify predicor's test files

* modify predictor's test files

* modify predictor's test files

* modify predictor's test files

* modify predictor's test files

* Modify api design

* update LatencyPredictor's doc.

* update LatencyPredictor's test files

* update LatencyPredictor's test files

* update LatencyPredictor's test files

* update LatencyPredictor's test files

* update LatencyPredictor's doc.

* update LatencyPredictor's doc.

* update LatencyPredictor's doc.

* update some syntax

* add LatencyPredictor's api doc.

* update LatencyPredictor's doc.

* update LatencyPredictor's api doc.

* adjust \'predictor_state\' api

* update LatencyPredictor's test files
Co-authored-by: NminghaoBD <79566150+minghaoBD@users.noreply.github.com>

* add static masks for quant

* Update unstructured_pruner.rst

* Update unstructured_prune_api.rst

* add the UT

* fix typo

* API docs
Co-authored-by: Ngmm <38800877+mmglove@users.noreply.github.com>

quant aware with infer model

* add rv1109 quant aware training

* quant post hyper param search

* quant post hyper param search
Co-authored-by: Nitminner <397809320@example.com>
Co-authored-by: Nwhs <wanghaoshuang@baidu.com>
Co-authored-by: Nceci3 <ceci3@users.noreply.github.com>

* polish distill

* optimize unstructured pruner using GMP

* add uniittests for GMP pruner

* add training scripts for fleet and gmp; add conv1x1 pruning

* add conv1x1 pruning to dygraph

* unify hyper parameters across methods and scripts, static graph

* unify hyper parameters across methods and scripts, dynamic graph

* refine test cases

* fix singlecard training in static graph

* refine readmes

* update unstructured pruner api doc static

* update api docs dygraph

* fix bugs in api docs

* rename UnstructuredPrunerGMP to GMPUnstructuredPruner

* fix some format issues

* remove redundant methods/arguments

* description for gmp configs

* fix minor bugs

* fix test cases accordingly
Co-authored-by: Nwhs <wanghaoshuang@baidu.com>

* refine distillation

* up

* add test

* fix coverage

* fix unit test error

* Fix warning

* Add unittest

* add dygraph ptq and refine dygraph qat

* add unit test for ptq

* update according to comments

* Fix skipping leaves option
* Add unitests

* fix superbn

* update_check_ss

* update_check_ss

* update_check_ss

* ss_multi_output

* remove_some_comments

* Merge branch 'develop' of https://github.com/PaddlePaddle/PaddleSlim into update_check_ss

* merge_conflicts

* add_coverage

* new_export_func

* add_test

* remove_kernel_prune

* add_test_&_update_clear_ss

* fix key_error in pruner

* add unit test for get_ratios_by_loss

* add distill dirs

* fix unittest