add luotao to approval requirements.txt

* fix code bug
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As title

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* Remove layers.detection_map API
* Since uers can use fluid.metrics.DetectionMAP to calculate mAP of current-batch and cumulative-batch. layers.detection_map only can calculate cur-batch mAP.

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* add pascalvoc preprocess script and mobilenet-ssd analyzer_tester, wait 17737

* change converting local dataset to downloading and converting tarfile
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* change the test data_path
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* change copyright (c) 2016 to copyright (c) 2019
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* update CPU_NUM config
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* refractor the function ConvFwdPrimitiveDesc
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* change according to review
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* use pointer way without boost::optional
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* pass vector to function by reference instead of raw vector
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* change pointer to shared_ptr
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* added unit test for QAT FP32 & INT8 comparison

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* enabled other models and updated filenames

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* added accuracy check and multiple batch handling

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* removed quantization_mkldnn_pass.py

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* cleanup

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* updated model paths

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* renamed tests without MKL-DNN

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* fix reusing mkldnn pool2d primitive

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* add performance measuring

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* fix accuracy statistics

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* removed non-mkldnn tests

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* added conv2d_depthwise->conv2d mkldnn transformation

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* format update

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* fixed creating key for pool2d grad

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* added pass

* Fix the accuracy issue while using float precision to get the scale.

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* Fix the format issue when 'X' is not nchw.

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* removed output comparing and changed number of images

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* cmake and comment fix

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* updated acc threshold for QAT comparison tests

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* added OMP_NUM_THREADS setting

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* enable all QAT INT8 tests

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* restored upstream version of a file

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* modified directory names

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Optimize the concat and split cuda implementation for cases when the number of inputs/outputs is less than 5. (#17979)

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* fix save/load in Fleet
* add UT framework of Fleet

* Fix the GetExpectedKernelType of add_position_encoding_op.
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* Fix the doc of lstm_unit outputs in nn.py.
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* support avx and noavx core

* add catch and give some log

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* fix build

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* add missing package

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* fix pybind name

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* fix import error

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* conbime noavx core

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* add requirements

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* fix unkown message

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* fix api spec

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* refine and clean

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* update

* pass dist ut

* follow comments

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* refine scripts

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* test=develop
The scatter op has a calc bug when the indices has same index, the scatter op use overwrite mode to calculate the same index, fix this bug by using the accumulate mode to calculate the same index.At the same time, the gather op has the same bug when the op calc the grad. And we use the lib of open-blas and eigen to optimize the time cost in accumulate mode.

* test=develop
Fix some code format problem, and the same time add the test case in gather and scatter op

Repair error prompt: Users are prompted to check whether the model or parameter files are damaged when loading parameters are wrong.

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Fix bug in sequence_unpad op, when allocate the output memory do not match actual memory, check memory failed. Fix this bug by allocating the output memeory in correct code position.

* fix im2sequence padding bug, test=develop

* fix edit_distance, test=develop

* add API.spec,test=develop

* add shape not match doc to data layer, test=develop

* fix API.spec md5
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* add deformable psroi pooling

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* test=develop

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modify format

* fix bug

* test=develop run ci

* test=develop
add API.spec

* add test_layers.py

* run ci again

* test=develop
run ci again

* run ci again

* test=develop
run ci again

* test=develop
run ci again

* test=develop
run ci again

* add space between two lines

* test=develop
add space between two lines

* test=develop
add space between lines

* test=develop
modify comment in nn.py

* test=develop
add space between two lines

* test=develop
add space between two lines

* update API.spec

* run ci again

* test=develop
run ci again

* rerun ci

* test=develop
rerun ci

* change input shape

* run ci

* test=develop
run ci

* modify format of nn.py

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* test=develop

* test=develop
update API.spec

* test=develop
fix API doc

* modify API comment

* modift API comment

* test=develop
update API.spec

* test=develop
modify comment

* test=develop
modift comment

* test=develop
modift comment

* test=develop
update API.spec

* test=develop
modify comment

* test=develop
add inference in nn.py

* test=develop
update API.spec

* test=develop
resolve confict

* test=develop
update API.spec

* add unfold op
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* fix divide bug in python3 when calculating output width and height
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* add name=None in python api, move redundant code into inline function

* try to trigger ci for this code
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* - removed is_reusing_

* - Added TID to keys for reusing apart from softmax PD

* - compilation fix

* - Yet another compilation fix

* - Batch Norm and Conv adapted

* - Fix to softmax MT

* - Fixes to MT code of MKL-DNN

* - Lint fixes

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* update anakin-engine interfaces for content-dnn

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* support only-gpu mode of Anakin

modify eltwise parse

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* modification for thread-safe

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* Integrated template instance

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* increase template parameters

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* support MLU predictor

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* update anakin cmake files

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* update TargetWrapper::set_device

* update the initialization of anakin subgraph

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* use the default constructor of base class

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Add Pipeline Concurrency Train Mode:
- Cpp: pipeline_trainer & section_worker
- Python: PipelineOptimizer
- Add a new data_feed type: PrivateInstantDataFeed
- Add a test demo of pipeline trainer and the test model is gnn
- Do not support win32 now

* fix: when use the load model from memory mode, the RAM occupy is high

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* ligth mem reuse
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* fix cpplint
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fix merge conflict of 'Remove attribute in Allocator::Allocate' and elementwise_add_mkldnn_op (#17949)

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* remove attribute in Allocator::Allocate, test=develop

* fix travis ci error, test=develop

* Enable seq_pool op to accept len 0 input

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* Update sequence_pool's api

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* Add more unittest cases for seq_pool op

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* Remove legacy comments

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* Don't use template in op maker

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