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

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

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* Add lookahead optimizer

* add unittest for lookahead optimizer

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* add doc string for LookaheadOptimizer

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* add API spec for lookahead

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* modify api spec

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* modified doc string

* modify the test file

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* modify doc string

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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

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* Update api spec

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 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

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* minor update light_nas test

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* 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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* add local user data conversion into full_pascalvoc_test_preprocess.py
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* change PADDLE_ENFORCE to PADDLE_ENFORCE_GE
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* change according to reviews
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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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* stronger the error message of tensor's mutable_data

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* update error message

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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 generalized Conv+Activation MKLDNN fuse pass creation Part2
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* Undefined behaviour of GetAttrIfExists<> FIX
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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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For small case use 1D block is better than 2D block.

Refer to this issue: #19275

* replace part of PADDLE_ASSERT to PADDLE_ENFORCE

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* remove unused fallback_alloc_size_

* add unit-test of CUDAPinnedAllocator

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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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* Ignore the deprecated status for windows

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* cuda optimie for dropout

* remove tmp swp file

* fix compile error test=develop

* test=develop optimize the cuda realization of dropout op

* remove unsed code test=develop

* remove tmp file test=develop

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)
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* fix ci aboud PADDLE_ENFOCE
fix merge lod infer op ut
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