* upgrade oneDNN version to 2.0 master branch

* - Added workarounds for new lib onednn change

* fix regex
Co-authored-by: NJacek Czaja <jacek.czaja@intel.com>

* upgrade oneDNN with GRU INT8 optimizations

* fix test

* Add int8 GRU kernel with UTs

* Lint fixes

* More lint fixes

* - introducing oneDNN 1.6

test=develop

* - Removed redundant code

test=develop

* - introducing oneDNN 1.6

test=develop

* - onednn 1.5

test=develop

* - oneDNN 1.5

test=develop

* - oneDNN 1.5 bugfix

test=develop

* attempt to resolve tls problem, test=develop

* add glibc version check, test=develop

* fix regex, test=develop

* refine get_libc_ver, test=develop

* refine get_libc_ver, test=develop

* generate dummy file using cmake configure_file function to avoid re-generating it. test=develop

* add cmake/dummy.c.in. test=develop

* fix compile issue, test=develop

* force link libiomp5 when mklml is enabled, test=develop

tweak the interface of cache_third_party function - expose the SOURCE_DIR for each external library (#21899)

* MKLDNN v1.0 rebase to Paddle 1.6
test=develop

* Add hacky paddle::string::to_string() implementation

* vectorize<int64-t>() -> vectorize() cleanup
test=develop

* PADDLE_ENFORCE and void_cast fixes
test=develop

* Rebase changes
test=develop

* Cosmetics
test=develop

* Delete MKL from mkldnn.cmake
test=develop

* CMake debug commands
test=develop

* Delete MKLDNN_VERBOSE and rebase fixes
test=develop

* Rebase fixes
test=develop

* Temporarily disable int8 resnet101 vgg16 and vgg19 tests
test=develop

* Add libmkldnn.so.1 to python setup
test=develop

* Add libmkldnn.so.1 to inference_lib cmake after rebase
test=develop

* Post rebase fixes + FC int8 changes
test=develop

* Fix LRN NHWC
test=develop

* Fix NHWC conv3d
test=develop

* Windows build fix + next conv3d fix
test=develop

* Fix conv2d on AVX2 machines
test=develop

test=develop

test=develop

* Upgrade MKLDNN to v0.18-rc and fix issue caused by lib/lib64

Upgrade MKLDNN to v0.18-rc
Also fix the issue during upgrade

test=develop

* Rebase MKLDNN to rls-v0.18 branch

Some issues in v0.18-rc which caused INT8 conv op unit test failure was fixed
in rls-v0.18 branch

test=develop

* Upgrade MKLDNN from v0.18rc to formal v0.18 tag

test=develop

* Fix the windows compile issue.

test=develop

test=develop

test=develop

test=develop

* Refine Dockerfile

* Add tasks, cmake gen

* Fix code error

* Disable compile after paddle_build.sh

* Refine

* Skip on PY35 CI

* Change env

* Refine paddle_build.sh

* Expose gen_fluid_lib

* Refine mkldnn.cmake

* Refine mkldnn.cmake

* Refine mkldnnlib

* Skip unstable tests

test=develop

test=develop

Fixed problem with array subscript is above array bounds in MKL-DNN jit_uni_reorder_utils.cpp:prb_simplify function

test=develop

test=develop

- Added hash function inside of MKLDNN softmax op to be used as handle for primitives stroing in a
context

- Style fixes to softmax mkldnn op

- Fixes after review

- Coding style

- Fix to style

- style fixes

- style fix

- style fixes

- Fix to cody style check

- Rephrasing a comment

fix t obroken merge

Fixes to rebase

Conflicts:
	benchmark/fluid/models/machine_translation.py
	cmake/external/mkldnn.cmake
	paddle/fluid/operators/softmax_mkldnn_op.cc

- Bumped revision of MKL-DNN up to have softmax backward primitive

- Added choosing MKLDNN softmax grad operator

- First reuse of softmax backward

- Reinvented reusing for softmax

- Fix to crash in reinvented reuse

- Clang format fixes

- Clang format fixes

- Improved softmax mkldnn reuse mechanism

- clang format fixes

- Fix to broken merge

- Fix