* nbench special handle op name for "NNP_XXX" (#2883)

* remove throw from dtor (#2854)

* add special handle for the 'NNP_xx' op name

* style

* add special handle for the 'NNP_xx' op name

* style

* use description as suggest by bob

* Remove parent from PlaidML tensor initializer (#2923)

* Remove parent from PlaidML tensor initializer

* Remove plaidml tensor parent plumbing

* style

* Add support for move semantics to AlignedBuffer (#2956)

* Add move operations to AlignedBuffer

* unit test

* Create mkldnn primitives at first iteration for codegen - part2 (#2859)

* Create mkldnn primitives at first iteration for CODEGEN.

 OPs: add, lstm, and rnn.

*  OPs: batchnorm.

*  OPs: concat and lrn.

Remove dead code.

* Skip in place concat, relu, reshape, and slice when building node_primitive_string_deps_index map.

* Change NGRAPH_ASSERT to NGRAPH_CHECK.

* Address PR Feedback.

* Create mkldnn primitives at first iteration for CODEGEN.
 OPs: convertlayout, relu, leakyrelu, boundedrelu, sigmoid, softmax, slice.

* Fix bugs.

*  OPs: quantizedconcat.

Check if there are descriptors before emitting code to read desc_file.

*  OPs: convolution backward.

Use macro to write mkldnn memory dims to generated file.

*  OPs: MaxPoolWithIndices and MaxPoolWithIndicesBackprop.

Add unit tests for MaxPoolWithIndices, MaxPoolWithIndicesBackprop, and MaxPoolBackprop.

* Fix style error.

*  OPs: AvgPoolBackprop and MaxPoolBackprop.

Add unit test for AvgPoolBackprop.

*  OPs: DeconvolutionBias.

*  OPs: Quantize and Dequantize.

*  OPs: QuantizedDot and QuantizedDotBias.

* Use reference kernel for QuantizedConvolution for CODEGEN when mkldnn does not support the parameter types.
Get scales for quantization ops in cpu_emitter.

* Fix Windows build error: add CPU_BACKEND_API.

* Use template for quantization ops.

*  OPs: QuantizedMatmul.

Emit referece kernel for QuantizedDot in CODEGEN.

* Remove QuantizedDot from get_scale_index.

* Address PR feedback.

* [FusedOps] Split (#2951)

* Split op skeleton

* Two ways to construct a fused Split to be able to use it in onnx importer

* refactor: move the util::split() helper functions to the core

* Split's decompose_op() implementation using a helper function

* Use fused Split in the onnx_importer

* Code formatting

* PR feedback

* Split helpers moved to ngraph/builder

* Basic UT - split a 1D tensor to 3 equal parts

* UT: Split 2D tensor into variable length parts

* Code formatting

* Catch the proper type of exception in the onnx_importer split()

* Initialize members in the correct order

* Type prop tests for Split

* Code formatting

* PR feedback

* Add more infrastructure for specialization of cloned graphs (#2949)

* Virtualize some things that crash when layout descriptor is missing

* More shape specialization

* (very bare) skeleton for dyn elimination

* Miscellaneous

* Lift i32->int64-only restriction on constant folding for Convert

* Add constant folding for ShapeOf, and some tests for new constant folders

* Tests for DynElimination

* Rename specialize_shapes to specialize_function, and add a unit test for value substitution

* Roll back overeager API change in dyn slice bprop (it has to handle right-indexed axes; bummer)

* Add a test for dynamic usage of transpose op

* Fix warning/error about variable shadowing

* Strengthen checks in apply_permutation

* Propagate Constant shapes through Transpose

* Add CHANGE_DYNAMIC_STATE where appropriate

* PR feedback, and fix unit test failure

* Fix PR reference in comment

* PR comments

* Comments for helper funcs

* Remove unique_ptr indirection for the AlignedBuffers

* Fix incorrect indexing of AlignedBuffer vector (whoops\!)

* Remove unnecessary CHANGE_DYAMIC_STATEs

* De-update pass property unit test for const folding

* Replace mystery runes with all_pass_property_off

* Change FusionType to enum class and use EnumMask (#2957)

* constexpr ctor for EnumMask

* added pass properties to core passes.

* change fusion type to have better type safety.

* refactor to use enum mask.

* remove extra code.

* added constants for FusionType backward compatibility.

* spelling.

* grammar fix.

* update visualize tree file extenstions and output formats (#2954)

* update visualize tree file extenstions and output formats

* fix runtime error

* Update version, clean up ToC, add more detail to section on inspectin… (#2947)

* Update version, clean up ToC, add more detail to section on inspecting graphs...

* Minor adjustments to version module
* Move distributed training page to extras since there's not much there
* Fix links that break when doing that
* Consistent casing on section titles
* Orphan governance page so we don't have blank/empty links
* Update release notes with new version module structure

* PR feedback

* Allow NGRAPH_VISUALIZE_TREE_OUTPUT_SHAPES to output partial shapes (#2959)

* Remove functions from cpu which were moved to core (#2962)

* Remove functions from cpu which were moved to core

* Fix a typo

* Remove unused function

* Move zero padded conv fusions from CPUFusion to CoreFusion. (#2969)

* Move zero padded conv fusions from CPUFusion to CoreFusion.

* Address PR feedback: move unit tests to core_fusion.

* Fix Convert for boolean output type in CODEGEN. (#2958)

* Create tensor for the primary backend (#2970)

* create tensor for the primary backend

* move private objects to protected

*  [Fused] LeakyRelu op (#2919)

* [Fused] LeakyRelu op

* Add LeakyRelu to serializer

* Add unit tests

* Fix merge branch 'master' into mkarzyns/fused_leaky_relu

* Change broadcasting rules to NumPy style

* Remove std:: and ngraph:: prefixes

* Rename CPU Runtime LeakyRelu to CPULeakyRelu

* Style apply

* Fix cpu_fusion.fuse_leaky_relu test

* Use eigen's tanh in the fused sigmoid multiply kernel (#2946)

* Merge branch 'master' into mkarzyns/fused_leaky_relu

* Add LeakyRelu to Intel GPU backend op list

* Add LeakyRelu to Intel GPU backend op list

* Make private members protected in hybrid classes (#2975)

* make private members protected in hybrid classes

* allow overriding the passes

* [ONNX] Unit tests for QLinearMatMul (#2706)

* [ONNX] Unit test models for QLinearMatMul

* [ONNX] Extended types support for NgraphTestCase

* [ONNX] Move the value comparators to the NgraphTestCase class

* Add test cases

* Add shape checking

* disable GPU tests

* IntelGPU backend: Switch to clDNN which is compatible with gcc4.8 (#2961)

* Added accessor methods for layer op attributes (#2964)

* Added accessor methods for layer op attributes

* style fixes and addressed PR feedback

* Add save/load API to runtime (#2955)

* API defined

* add unit test for save/load with INTERPRETER

* Update per review comments

* fix compiler error

* Backport fix from #2973 (#2976)

* CTCGreedyDecoder layer op (#2965)

* Added CTCGreedyDecoder layer op

* Added comment on seq_len validation checks

* Switch some get_inputs uses to use the newer inputs (#2968)

* Switch some get_inputs uses to use the newer inputs

* Review comments

* update a few files to build on windows (#2974)

* update a few files to build on windows

* more fixes

* Add builders for QLinearMatmul for onnxruntime

* Generic Dot

* Change the onnx bridge and address PR feedback

* Fix date

* Fix CI failure

* Change varibale filter to input1

* const & reference

* update branch

* Comment

* Introduce QuantizedMatmul

* change pattern

* QDot tests passing

* style

* PR feedback

* Fix pattern

* style

* Don't use
pragma GCC diagnostic error "-Wswitch"
pragma GCC diagnostic error "-Wswitch-enum"
for GCC 4.8.X

* Fix typo.

* Style.

* SquaredDifference implementation

* Broadcast input before using it

* Simple test of SquaredDifference

* SquaredDifference validation tests

* Formatting adjustments

* Docs correction

* Exclude the unit test on iGPU

* Keep the includes in a single group

* Update intelgpu_backend.cpp

* Update unit_test.manifest

* UT for the broadcasting path

* Add test for i32 gather

* Add support for ints to Gather op

* Move helper function to anonymous namespace

* Add more types

* Use static_cast instead of the old one

* Style fix

* Skip tests on GPU

* Add more tests

* Skip tests on gpu

* Change bool to char

* Supports more cases for Convolution Bias fusion and also removes redundant namespace qualifiers in core_fusion.cpp

* added unit test

* select all fusions

* constexpr ctor for EnumMask

* added pass properties to core passes.

* added unit tests.

* minor fixes.

* Extend lp-norm functions to take bias.

* Move lp-norm utilities to nGraph core op/util.

* Move norm files to builder directory.

* Apply clang-format.

* Sceleton for GRN operation.

* Add GRN implementation.

* Fix reshape utility function.

* Address review comments.

* Add using namespace std.

* Review comments.

* Few fixes in grn implementation.

* Clang format.

* Basic UT.

* Fix expected data.

* Add more UT and skip them on IGPU.

* Review comments: const correctness and remove using namespace std statement.

* Unblock GRN on IGPU.

* Get back GRN op case to switch.

* merge error

IntelGPU backend: Make ScaleShift op as not supported in callback of FusedOpDecomposition pass (#2940)

* IntelGPU backend: Make ScaleShift op as not supported in callback of FusedOpDecomposition pass

* style

* merge error

* Style was correct.  Return back 0965fb5 changes

* merge error

This PR removes compiler warnings like this one:

```
src/ngraph/frontend/onnx_import/utils/reduction.hpp:73:28: warning: prior to the resolution
  of a defect report against ISO C++11, local variable 'op_node' would have been copied
  despite being returned by name, due to its not matching the function return type
  ('shared_ptr<ngraph::Node>' vs 'shared_ptr<ngraph::op::ArgMin>') [-Wreturn-std-move-in-c++11]
                  return op_node;
                         ^~~~~~~
```

IntelGPU backend: Change clDNN mode of Relu op to allow ConvolutionBiasAdd fusing inside clDNN (#2939)

* Add placeholder for doc versioning

* Finalize module to include tags of verified releases only

* Add fused Squeeze op

* Use fused Squeeze op in ONNX importer

* Update serializer

* Add unit tests

* Add type prop tests

* Change Squeeze signature to accept a dynamic input for axes

* Update src/ngraph/op/fused/squeeze.cpp
Co-Authored-By: Adam Rogowiec <adam.rogowiec@intel.com>

* Code review comments

* Fix failing unit test

* Code review comments

* Code review comments

* style

* Add op to iGPU backend

* Add op to iGPU backend

* Fix clang compiler warnings

* Remove unintended file.

* style

* Not part of PR

* Another extra closure ref

* More warnings from merges

* Lambda arg was used

* Remove remaining osx compiler warnings

* style

* Try to avoid compiler warning

* Same for the other test

* IntelGPU backend: Enable FusedOpDecomposition pass

* PR2912. Adress comments.

I had renamed the directory at one point during development but forgot to update this

* Temp save.

* Temp save.

* Temp save.

* Temp save.

* Temp save.

* Temp save.

* Temp save.

* Fix compile errors.

* Fix incorrect index.

* Fix UT typo.

* Interpreter passes UT.

* Fix more bugs.

* Apply style.

* Add shape check for updates tensor.

* Merge typo

* Fix clang compiler warnings

* Remove unintended file.

* style

* Not part of PR

* Another extra closure ref

* More warnings from merges

* Lambda arg was used

* Add ScaleShift operator

* Add ScaleShift to serializer

* Add UT for ScaleShift

* Add type_prop tests for ScaleShift

* Style-fix

* Skip tests on Intel GPU

* Review fix 1

* Style fix

* add gemm operation

* style apply

* erase if statement

* fix the test

* enable tests

Change CPUTensorRole -> TensorRole in ngraph core and utilize it in GPU backend instead of a local enum. This is also now use in NNP backend. (#2900)

* Dump the expected and actual values for NgraphTestCase

* Adapt to changes in master

* Some docs and API unification

* Extend lp-norm functions to take bias.

* Move lp-norm utilities to nGraph core op/util.

* Move norm files to builder directory.

* Normalize fused operator implementation.

* Fused op boilerplate.

* Fix node validation and normalization across spatial axes.

* Add UT normalize across CHW with scalar scale.

* Fix expanding input tensor to 4D.

* Add more UT for 3D and 2D.

* Add more UT, with scale and across HW.

* Update to new localization of l2_norm function.

* Add type_prop UT and update gpu/igpu manifests.

* Apply clang-format.

* Add positive UT for type_prop.

* Update unit test manifests.

* Address review comments.

* Add using namespace std.

* Remove unnecessary std prefixes.

* Remove blacklisted unittests for GPU.

* Apply clang-format.

* Review comments.

* Fix clang errors.