* update python APIs

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* update API.spec

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* update merge_selected_rows

* update API.spec

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* update API.spec

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* fix the comment of less_than

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* update API.spec

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* update API.spec

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* update API.spec

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* update API.spec

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* update API

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* [DOC] Fix api docs, test=develop, test=document_preview

* [DOC] Fix api annotation: fluid.layers.tensor_array_to_tensor. test=develop, test=document_preview

* test=develop, test=document_preview

update MD5 of tensor_array_to_tensor

* fix the api example for create_global_var, create_parameter, SGDOptimizer, RMSPropOptimizer, MomentumOptimizer, LarsMomentumOptimizer, FtrlOptimizer
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* add example for adamoptimizer
fix API.spec
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* test=develop

* Bias correction for exponential moving average

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* Fix docs

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* fix the bug that sub_scope_ may be null in AnalysisPredictor::Run.

* add more directions about io APIs' docs.

* update the API.spec. test=develop test=document_preview

* add data parallel batch

* fix example; test=develop

* fix api spec; test=develop

* fix api spec; test=develop

* add doc check
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* test=develop,test=document_preview

add blank line to fix format, add one more "import"

* fix bug; test=develop

* fix bug; test=develop

* Fix the example code in some Python API.
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* Fix the example code in some Python API by adding import.
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Python examples of fluid.layers.io.double_buffer and some BuildStrategy's methods.

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* test=develop

* del #

* Add exponential moving average

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* Polish documents

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* Update API spec

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* fix api example. test=develop

* fix API.spec. test=develop

* fix spectral_norm format. test=develpp

* merge develop

* add import. test=develop

* fix indent. test=develop

* fix indent. test=develop

* add import fluid. test=develop

* fix distribute doc

* fix bpr data_norm teacher_student_sigmoid , test=develop test=document_preview

修复了bpr_loss data_norm teacher_student_sigmoid_loss三个api, 同时修复了continuous_value_model文档英文拼写错误

* fix api doc according to the reviewer's comment test=develop

* Fix examples of fluid.layers.sums.
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* Correct the example of DynamicRNN and its functions.
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* Add 'import paddle.fluid as fluid' to examples.
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* Update API.spec.
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* Add space lines.
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* Update the API.spec.
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* 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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* Add api doc code examples

add or fix topk, squeeze, stack, StaticRNN,
StaticRNN memory in doc

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Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* Add squeeze md5.

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Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* Add import package

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Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* improve the doc of paddle.fluid.memory_optimize, test=develop

* fix typo, test=develop

* fix data_feed_desc.py example run error
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* fix data_feed_desc.py example display error
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* update API.spec for DataFeedDesc
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* improve the API Sample of DataFeeder, memory_optimize and release_memory, test=develop

* update API.spec, test=develop, test=document_preview

* tweak the code format of feed API, test=develop

*  update API.spec, test=develop

* improve doc for DataFeeder and default_main_program, test=develop

* 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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* test=develop

* test=develop

* add collect fpn proposals op,test=develop

Fix some api example codes' bugs and these APIs include load_inference_model, load_vars, save_vars, L1DecayRegularizer and L2DecayRegularizer. (#17324)

* fix some api example codes' bugs.

* update API.spec. test=develop test=document_preview

* add import fluid. test=develop test=document_preview

* test=develop
add sign op

* Update nn.py

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delete stop_gradient assignment

* Fix the example code in some Python API
* Update paddle/fluid/API.spec
* Fix some examples format

* test=develop, test=document_preview, fix all 13 api doc and code

* test=develop, fix rst

* test=develop, refresh API.spec

* reset drop local scope counter
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* test=develop
add elementwise_mod and elementwise_floordiv, fix equation problem in elementwise_mod

* fix train_from_dataset and infer_from_dataset example

* add inductive dim for data_reader, example: shape=[-1, 1], then -1 will be inducted through run-time reading of number of elements

* Fix API example code of save_inference_model

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* Add "import" in exmaple of save_inference_model

* Fix typo "exsample" -> "example"

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* modified formula for lrn

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* modified api.spec

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