* sequnce mask support max length tensor input; test=develop

* add rnn_impl.py; test=develop

* add basic gru lstm unittest; test=develop

* fix api spec; test=develop

* fix sequence_mask op bug;
test=develop
test=document_preview

* change +-*x to elmentwise_op; test=develop

* add mkl flag; test=develop

* fix rnn impl bug; test=develop

* update api spec; test=develop

* fix doc bug; test=develop

* fix lstm bugs; test=develop

* Revert "Add multi gpu install check (#18229)"

This reverts commit 61ed06b2.

* test=develop, start ci

* optimize communicator merge sparse gradient test=develop

* revert multithread selected rows merge add test=develop

* follow comment test=develop

test=develop

* fix default value of fluid.memory_optimize
test=develop

* fix api.spec
test=develop

test=develop

* Use TensorCopySync for sequence_unpad op

test=develop

* Fix the tensor memory alloc bug

test=develop

* clean build_strategy
test=develop

* DataBalanceOpHandle has been removed
test=develop

* debug

* update build_strategy.
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test=develop

add Dygraph api to api.spec

* improve doc of lstm, sequence_enumerate, softmax_with_cross_entropy, space_to_depth APIs, test=develop

* update API.spec, test=develop

test=develop

* fix paddle cloud role maker bug

test=develop, test=document_preview

test=develop
test=document_preview

* refine core cmake warning and print more info

test=develop

* fix comments

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refine StaticRNN api doc
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test=document_preview

1. fix the bug that out_put_var in SaveSelectedRows would be empty string
2. use merge_sparse_lookup_table to replace sum op for load_persistables_for_inference
3. fix the bug in _clone_var_in_block_ when the var is SELECTED_ROWS.

(1) use channel instead of vector/BlockingQueue in Dataset，to keep same with existing implementation, and make code more readable and flexible (dataset single output channel or multi output channel). one previous memory out of limit problem is cause by not release memory after training.
(2) add Record because MultiSlotType costs too much memory (80B)，fix memory out of limit problem.
(3) add Channel, Archive in paddle/fluid/framework
(4) change dataset from shared_ptr to unique_ptr in pybind
(5) move create/destroy readers from trainer to dataset
(6) move shuffle from datafeed to dataset. dataset holds memory, datafeed is only for load data and feed data to network.
(7) fix thread num bug of Dataset when filelist size < thread num
(8) support set_queue_num in InMemoryDataset

* improve the doc of DataFeeder and default_main_program

* update API.spec, test=develop

* test=develop, add add_multi_gpu_install_check

* test=develop, refine warning doc

* test=develop, refine warning doc

* test=develop, refine warning doc

* test=develop, support multi cpu

* test=develop, find right num of cuda device

* test=develop, find right num of cuda device

* test=develop, fix multigpu processing and fix type bug in dygraph

* test=develop, fix multigpu processing and fix type bug in dygraph

* set src_idx > 0, test=develop

* add unittest and cu, test=develop

* add more print function for timeout issue, make timeout value larger

* fix relative import error in python3
* fix debug string info

* [DOC] Fix comment code of API create_py_reader_by_data. test=develop, test=document_preview

* Fix code style of API comment. test=develop,test=document_preview

Fix code style of API comment. test=develop,test=document_preview

* update api spec of api create_py_reader_by_data

* remove default config code. test=develop

* remove useless code. test=develop

* update create_py_reader_by_data api. test=develop

* fix_create_lod_tensor, test=develop

* remove program_guard import,test=develop

* fix windows numpy default int32 error, test=develop

* fix slice op bug; test=develop

* fix variabel test bug; test=develop

* remove slice while true; test=develop

* test=develop, fix test_imperative_transformer and ocr

* test=develop, remove ocr recovery part

* fix paddle.fluid.layers.io.open_files api doc bug test=develop

* Enable MKL-DNN for slim FP32 vs. INT8 tests

test=develop

* added test for MobileNetV1 with MKL-DNN

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* QAT doc first version

* follow the comments, test=develop

* update the benchmark, test=develop

* Change to channel-wise, test=develop