fix fleet_desc dense_table unsort bug ，not  support format for abacus hotstart yet.

* support tensor input with padding for warpctc op

* merge with develop

* test=develop

* modified python API examples test=develop

* nn.py is modified for code coverage test=develop

* update documents info about warpctc op in API.spec test=develop

* add test_warpctc_with_padding in test_layers test=develop

* add warning log for cuda_version back to warpctc_op.cc

* modify API.spec for warpctc op test=develop

* modify API.spec

* update warpctc test to new CompiledProgram API test=develop

* modify code examples for warpctc op test=develop

* modify API.spec for warpctc op test=develop

* modify API.spec for warpctc op test=develop

* fix optimizer bug
test=develop

* fix bug of getting bool Flags from os.environ, test=develop

* add empty loss_name in CompiledProgram for inplace grad test, test=develop

* python inference api supports numpy and add unit test, fix unit test fail in test_slim_int8_googlenet and test_slim_int8_mobilenet

test=develop

This PR fix problem with issue #18096 , which raise an error for user to specify the error about load dir is wrong

test=develop

* Add lookahead optimizer

* add unittest for lookahead optimizer

test=develop

* add doc string for LookaheadOptimizer

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test=document_preview

* add API spec for lookahead

test=develop
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* modify api spec

test=develop
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* modified doc string

* modify the test file

test=develop
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* modify doc string

test=develop
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* test=develop,Optimized error reporting information

* test=develop,add importscipy unittest

* test=develop, rename the file and function

* add default getItem

* test=develop, fix has_attr disabled error in Layer

* test=develop, fix GroupNorm and deepcf bug on attrs

* fix sync mode hang in transpiler
* remove sync mode in send/recv
* replace PADDLE_ENFORCE with PADDLE_ENFORCE_NE

* Fix arg do_model_average in param_attr

test=develop

* Update api spec

test=develop

 add fleet_desc config feature & multi_sparse table,

* update light_nas_strategy: add latency constraint

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* update light_nas_strategy: update get_model_latency

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* update light_nas_strategy: add more check

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* update light_nas test

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* update light_nas test

    test=develop

* minor update light_nas test

    test=develop

* minor update light_nas test

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* update light_nas test

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* update _constrain_func of light_nas_strategy

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* update _constrain_func of light_nas_strategy

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* remove unused code

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* add pool2d quantization support, only for max-pooling.

* add the partial quantization support.

* Fix data parallel & sequence mask in dygraph

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* Revert change in data_parallel

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* use PE for compiler
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* Implement the operator with sprase matrix multiply

* Update the URL of mklml library.

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* Disable MKLML implematation when using no-linux.

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* optimize bp with mkl sparse matrix
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* add pybind interface to get all inplace ops, test=develop

* enhance OpTest to check whether the consistency of operator when using and not using inplace, test=develop

* handle corner cases in op_test, test=develop

* support outputs without tensor holder_, like XShape in reshape_op, test=develop

* fix bug, some op has GradOpMaker, but actually no grad_op in OpInfoMap, test=develop

* use reshape_grad instead of reshape in FlattenGradOp, test=develop

* fix error debug dims info for variables like XShape, test=develop

* change computational order in sum_op to relieve computation difference using inplace, test=develop

* add inplace_atol to check group_norm, and skip inplace_grad for mkldnn, test=develop

* follow sneaxiy's comments, test=develop

* remove unused DefaultGradOpDescMaker in mkldnn op, test=develop

* add diag init in Uniform_random op test=develop

* modify api.spec test=develop

* fix unform_batch_size_like maker test=develop

* add diag_num and diag_step assert check test=develop

* update parallel.py
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* increase test_parallel_executor_seresnext time limit
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* split test_parallel_executor_seresnext
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* temporally disable reduce_and_allreduce test because of the random failure.
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* split gpu and cpu
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* add elementwise_mul_mkldnn UT with [conv + elt_mul + conv] to cover avx512=True branch
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* change a typo.
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test=develop, test=document_preview

distribute launch : add use_paddlecloud argument 

* fix mask rcnn bug:
1. affine channel fuse (diff)
2. condition block op (memory leak)
3. merge lod tensor op (diff)
4. memroy optim (diff)
test=develop

* fix ci aboud PADDLE_ENFOCE
fix merge lod infer op ut
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* add matrch_matrix_tensor op test=develop

* fix ignore unittest if with_mkl=off test=develop

* clean code and rm is_test param test=develop

* modify API.spec test=develop

* rm useless code in search_compute.h test=develop

* modify api.spec test=develop

* modify default_grad.spec test=develop

* Add API test code test=develop

* clean code in search_computer.h

* modify PADDLE_ENFORCE and clean search_compute.h test=develop

* fix code style test=develop

add fl_listen_and_serv op for Federated_learning and fl_distribute_transpiler add this op to pserver program . This op just listen the endpoint and sum&scale.

add python coverage launch when WITH_COVERAGE=ON

* fix REGISTER_OP_WITHOUT_GRADIENT
test=develop

Unset unittests http_proxy env to avoid timeout.

* imporve the doc of decorate_reader API, test=develop

* udpate API.spec, test=develop

node_num is not needed for users, so remove them and fix the bugs about it!

* remove unused inference_transpiler unit-tests

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* remove InferenceTranspiler usage in quantize_transpiler.py

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