test=release/1.6

* Add multihead op for ernie opt

* Refine softmax

* Refine kernel.

* Refine cuda kernel

* Refine cuda version

* Refine cmake

1.support asymmetric padding;
2.support padding algorithm:"SAME" and "VALID";
3.support channel_last: data_format NHWC and NDHWC;
4.change doc of python API and c++;

test=release/1.6

* update operator compatible info, test=develop

* revert cmake/version.cmake, test=develop

* add unit_tests and fix bugs, test=develop

* update ../paddle/fluid/framework/framework.proto, test=develop

* fix bug of paddle/fluid/inference/api/analysis_predictor.cc, test=develop

* update paddle/fluid/framework/version_test.cc, test=develop

* add comments and rename interfaces, test=develop

* add dgc.tgz to bos

* Add fc_elementwise_layernorm_fuse pass and unittest.

* Add fused_fc_elementwise_layernorm op and its GPU kernel.
test=develop

* Apply fc_elementwise_layernorm_fuse_pass to GPU inference.

* Add the setting of attrs in the definition of binary_op.
test=develop

* Add comment.

* Implement the unittest.
test=develop

* Change the unittest name of layer_norm.
test=develop

* add deformable conv v1 op, test=develop

TemporaryAllocator is a singleton used for allocating memory for Cudnn. Since it is a singleton, we can delete it for better performance in memory.

We replace TemporaryAllocator by CUDADeviceContextAllocator and CUDADeviceContextAllocation, which uses stream callback to delete the memory allocated for the stream to avoid singleton.

Also added data_feed_proto to operator to fix CI in CPU compilation

* Refine the codes related to fc op.

* Add GPU implementation for fc functor.

* Apply fc_fuse_pass in GPU inference.
test=develop

* Change the cmake for fc op.

* Change PADDLE_ENFORCE to PADDLE_ENFORCE_EQ.

* Add an attribute to set the activation type in fc_op.

* Enhance the unittest of fc_op.
test=develop

* Remove the declaration of FCOpGrad back to the header file.
test=develop

* Set default value for newly added arguments in test_fc_op.
test=develop

* remove -Wmaybe-uninitialized warning

test=develop

* remove uninitialized op_handle_ in scale_loss_grad_op_handle.cc

test=develop

test=develop

* test=develop, Support for online compilation of openblas

* test=develop, Modify the prefix of openblas static library

* Support looking up embeddings from BoxPS.
* Add a _pull_box_sparse op, for now this op is not exposed to users.
* Add a BoxHelper class, providing 'BeginPass', 'EndPass', 'FeedPass' functions and so on.
* Add 'BoxPSDataset' in python code.
* Add a compile options WITH_BOX_PS and a MACRO PADDLE_WITH_BOX_PS.
* Add UT.
* More concrete information pls refer to: https://github.com/PaddlePaddle/Paddle/pull/18982

* Implement the operator with sprase matrix multiply

* Update the URL of mklml library.

test=develop

* Disable MKLML implematation when using no-linux.

test=develop

* Ignore the deprecated status for windows

test=develop

* fix compilation issue in windows vs2017, test=develop

* fix gtest lib not found issue, test=develop

* test=develop,fix the inference library compilation bug on windows

* test=develop,Fix the inference library compilation bug on windows

* test=develop,fix the bug that PYTHON_EXECUTABLE not exists

* test=develop,fix the inference library compilation bug on windows

test=develop

* add tensorrt support for windows

* Add support for dynamic code analysis (Sanitizers)
test=develop

* Move options to one option

test=develop

* Missing check

test=develop

* upgrade ngraph to v0.24 test=develop

* simplify io test=develop

test=develop

test=develop

test=develop

test=develop

* test=develop, fix docker with paddle nccl problem

* test=develop, downgrade gcc to 4.8 for latest-dev

* test=develop, downgrade gcc to 4.8 for latest-dev

* test=develop, modify cmake to renew all third_party

* test=develop, invoke ci

* test=develop, invoke ci

* test=develop, complie python with wide-unicode

* test=deveop, refine env settings

* test=deveop, refine env settings

* remove async executor and add data_feed.proto to the deps of train demo

2）add pip install coverage in Dockerfile.tmp
test=develop

install coverage package in develop image
test = develop

* update anakin-engine interfaces for content-dnn

test=develop

* support only-gpu mode of Anakin

modify eltwise parse

test=develop

* modification for thread-safe

test=develop

* Integrated template instance

test=develop

* increase template parameters

test=develop

* support MLU predictor

test=develop

* update anakin cmake files

test=develop

* update TargetWrapper::set_device

* update the initialization of anakin subgraph

test=develop

* use the default constructor of base class

test=develop

* load model from buffer with length

test=develop

* modify the access level of class

test=develop

* support anakin for bitmain arch

test=develop

* remove files

* checkout cmakelists

test=develop

* remove the obsolete cmake options, test=develop

* remove unittests, test=develop

change url of pslib.tar.gz

* add WITH_COVERAGE option, default OFF

test=develop

* add coverage for python sdk

test=develop

* fix code style

* fix COVERAGE_FILE path

test=develop

* remove coverage package

test=develop

* test = develop, run coverage as module

test=develop