* remove version tagging from shared libraries

* add flag to enable/disable library versioning

* Update MKLDNN v0.16 -> v0.17

* Updated SHA1 for mac and win

* Updated from 0.17-rc -> 0.17

* Patch to treat OMP as warning instead of error

* Fixed compile error for clang

* Commbined 2 patches into 1 file; renamed file to .patch

* Corrected file permissions

* Adding leaky relu

* Silence compiler warning around fp compares

* Fix copy-paste error and enable in-place for relu mkldnn kernels

* disable in-tree build

* check to prevent in-tree builds

* add cuda reduce for product and max and added tests

* a quick fix for empty reduce axis and 0 axis

* adding min cuda reduce

* add for min

* fix bug and format

* add another min test

* adding sum to the mix and adding tests to intelGPU manifest

* Incorporate Chris's first comment + clang

* Some mods to the last commit

* Addressed Bob's comments + added more tests int8

* Added more int8 tests + added tests to IntelGPU manifest

* CI test failure debug attempt

* clang

* edit

* Adding the CPU failing test to manifest

* pulled changes from master to address travis ci build failure

* Re-enable INTERPRETER tests which already seem to work

* Update INTERPRETER to be aware of TopK's unusual output element type arrangement; re-enable INTERPRETER.topk_int64

* [Py] Add make python_wheel target

* Add make install step

* Use tagged pybind11 version 2.2.4

* build seems to work

* cleanup

* add backsuport for using pre-built clDNN library

* fix typo

* add license badge

* move license badge

* any_of matching

* include a new file any_of.hpp

* hacky version of reshape+convertlayout reordering

* Cleaned up reshape+convertlayout and added unit test

* fix pass-through check

* style fix

* fix ParameterVector

* reduce random input range

* Add more checks in horizontal fusion.

* Address PR feedback: use a helper function.

* more sdl changes

* more fixes

* update SDL

* cleanup

* cleanup

* rename var

* redo how in_transition is handled

* add -O2 flag back

* - check if the nodes is reachable before returning the users of a node

* address PR comments

* test case fixes

* remove forward op

* fix bbrks

* fix pybind c-tor for max_pool_bprop

* Add new c-tor to MaxPoolBackprop that takes MaxPool as an explicit argument. Add serializer support.

* Add nvgpu support for new backward pooling c-tor, and calculate fprop when it isn't available.

* Add extra layout for 3 arg maxpool backprop.

* Formatting.

* cpu_workspace_insertion to expect 3-arg maxpool bprop

* GPU: add bprop_needs_pooling flag to primitive hash

* Update INTELGPU arguments_check for MaxPoolBackprop and GPU invocation for avg pool.

* swim a special case of broadcast

* general case broadcast swimming for reshape sinking

* fix in_order=false case

* fix reshape redef warning

* add broadcast swimming test

* cleanup test case

* fix warnings

* fix test case

* editing docs

* more doc updates

* Cleanup theme, update backends for PlaidML, remove stale font

* Add PlaidML description and doc update that should have been added with PR 1888

* Add PlaidML description and doc update that should have been added with PR 1888

* Latest release doc updates

* Add PlaidML description and doc update for PR 1888
* Update glossary with tensor description and quantization def
* Refactor landpage with QuickStart guides
* Add better details about nGraph features and roadmap

* Placeholder detail for comparison section

* Add section link

* order sections alphabetically for now

* update compiler illustration

* Address feedback from doc review

* Update illustration wording

* Formatting and final edits

* keep tables consistent

* Clarify doc on bridge and compiler docs

* Clarify doc on bridge and compiler docs

* yay for more feedback and improvements

* edit with built doc

* Fix typo

* Another phase of PR review editing

* Final review comment resolved

* Update README with different sort of navigation options

* Remove unnecessary repetition

* Add links to announcement blogs for previous contributions to ONNX and PyTorch projects

* Better link

* Add syllabus for perf criterion

* Editing and readability on README and add page for performance-validated workloads

* Editing and readability on README and add page for performance-validated workloads

* Editing and readability on README and add page for performance-validated workloads

* Update README

* Update illustrations with detail pertinent to br

* Documenting diagram and updating about features faqs doc

* Latest Beta doc updates

* clarify wording on arch doc

* Update deprecated INSTALL.md file and CONTRIB.md

* Legacy framework support for neon removed; instead show how nGraph enables custom or customizable frameworks

* nGraph Compiler stack beta

* Add markdown version of some docs as requested

* update full ng stack diagram

* Make sure diagrams work after moving them to tld

* Update ABOUT tld info doc with PR review feedback

* unit test for sigmoid layout.

* fixed layout bug and added unit test.

* same fix for cpu emitter.

* removed unused vars.

* Support dynamic scales for quantization

* Avoid static object inside functors

* Added missing capture and removed mkldnn_submit

* fix merge error

* fix klocwork issues

* more klocwork issues addressed

* Support to selectively enable/disable passes through env variable

* Address compiler warning about zero arg macros

* Move pass selection options to PassConfig object

* remove unnecessary header include

* use default copy constructor

* Address PR feedback

* switch to map to keep xcode clang happy. doesn't seem to have a hashing function for string

* Move ParameterVector and ResultVector to the ngraph namespace where they belong

* update python wrapper

* more python fixes

* style

* Update setup.py

* fix some new code

* [ONNX] Enable transposed convolution

* Review fix pt. 1

* Review fix pt. 2

* Remove unused new_shape

Replaced the git command 'ls-repote --tags' with  which produces the same output but works for clones without branches (#2066)

* Add test revealing issue in current cudnn pooling operation. To fix we need op::MaxPoolBackprop to take the fprop output as an input argument.

* Formatting.

* Add comments and test description. Increase tensor size well past most cache sizes.

* exclude intelgpu

* adding i32 as quantized type

* code format

* mask gpu unit tests

* unused variable

* intel gpu unit test manifest

* fix typo in unit test manifest

Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>