* refactor PR 16865

* delete mergetool files

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* create dir for int8 model before call SaveOptimModel

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* mkldnn int8 only support linux; test=develop

* refine code; test=develop

* remove comment; test=develop

* refine code; test=develop

* fix bug; test=develop

* add exception for mkldnn_post_training_strategy

* reuse int8v2 CAPI dataset; test=develop

* fix accuracy check bug; test=develop

* remove tab

* convert files to unix format

* test=develop

* reduce CI time;test=develop

* reduce CI time and refine code;test=develop

* refine comment; test=develop

* add cmake FLAGS;test=develop

* remove predict_num;test=develop

* Enhance fused_elementwise_activation op.
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* Move the api fused_elementwise_activation to contrib.
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* Add including files.
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* Add the support of sigmoid in fused_elementwise_activetion op.

* Update API.spec.
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* add data parallel batch

* add quant_dequant_pass, test=develop

* Add quant_dequant before some ops, such as the elementwise_add op. This is required by TensorRT. test=develop

* Add LAMB optimizer

* Expose LAMB Optimizer's APIs

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* Cleanup code & doc

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* Update lamb optimizer's formula

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* init auto loss scaling

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* change API.spec

* change ifelse to switch and use reduce_sum to optimize checking isfinite

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* Remove redundant code

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* resolve #17184

Fix the KL algorithm bug when calculated the size of tensor.

* Add the missing test=develop.

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test_distillation_strategy always failed on a machine with 4 gpus only, disable temporarily and need to figure out the root cause and add it back later

Update the folder name generation mechanism for saving the quantized model and weights.
The folder name would be unique by adding the timestamp postfix.

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* Init mixed precision training interface

* Add fp16 test script

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* All initializers support float16

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* Code cleanup & add more code annotations

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* Update API spec

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* Add usage example in doc

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* Split test_calibration test to two tests

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* Modify CMakeLists file
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* Add DecoupledWeightDecay

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* Add a tool to summary model's PARAMS, FLOPs in paddle/fluid/contrib.

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* fix cdn issue, test=develop

* fix memory optimize bugs, test=develop

* fix memory optimize bugs, test=develop

* remove add/sub_2 op, test=develop

* disable memory_optimize by default, test=develop

* disable inplace activation in python, test=develop

* fix unittests, test=develop

* fix unittests, test=develop

* bug-fix, test=develop

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* Update Readme with new accuracy and performance data measured on 6271
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* Modify tables and example command
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* Add fsp operator.
1 Add unitest.
2. Add python API.
3. Add layer test.

* Add quantization strategy.
1. Add API.
2. Add unitest.

* Add distillatoin strategy.

* Add unitest config file for quantization

* Fix Copyright
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* Fix setup.py

* Fix document of layers.py.
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* Fix unitest in python3.
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* Fix documents.
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* 1. refine fsp op by batched gemm
2. remove unused import
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* Fix test_dist_se_resnext.
1. disable test distillation.
2. reset framework.py
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* Enable unitest of distillation after fixing Block._clone_variable
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* Fix cdn issue.
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* fix cdn issue, test=develop

* fix cdn issue, test=develop

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* First pr of paddle slim.
1. Add framework of paddle slim
2. Add filter pruning strategy
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* Rename unitest to tests.
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* Add prettytable into requirements.
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* Change in_nodes and out_nodes to odered dict.
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* Remove distillation.
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* Fix API.spec
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* Fix unitest.
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* Fix unitest in windows.
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* Fix unitest in windows.
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* Fix unitest.
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* Hide some functions.
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* Fix python import in python3.5
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* Fix compress pass.
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* Fix unitest of test_dist_ctr.
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* Enhence flops.

* use os.path.join

* Fix pickle for python3
Fix log and comments.
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* 1. Remove feed_reader in compress pass
2. Fix cache reader
3. Rename CompressPass to Compressor
4. Add comments for distiller optimizer
5. Remove unused pruner currently
6. Add some comments.
7. Change API.spec
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* Fix pruning in python3.
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* Fix unitest in python3.
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* Fix format in python3.
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* update load persistables for increment, test=develop

* update load persistables for increment, test=develop

* update API Spec, test=develop

* update API Spec, test=develop

* add doc, test=develop

* add doc, test=develop

* Update lookup_table_utils.py

* Update API.spec

* Update lookup_table_utils.py

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* Update API.spec

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* fix api spec

* Update lookup_table_utils.py

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* Add moving average absmax op in quantilize-aware training.