* pass args instead of pointer to array

* add 3d tiled reshpae

* working version

* add shared mem version of 2d, 3d reshape

* remove unused code

* style

* resolve commits

* add test for 3D reshape, some 3D reshape will be treat as 2D

* Add support for Quantize op via mkldnn for IA backend (codegen + DEX)

* PR feedback addressed

* Use call_with_validate

* add very basic test for Coordinate

* add correct license header

* remove contains_key()

* fix logic error

* Remove "view"
Simplify layout

* Fix merge error

* fix build error

* PR1602. IntelGPU backend. Compilation fixed.

* [ONNX] Non-linear operators

* Review fix pt. 1

* Review fix pt. 2

* Non-linear tests

* style check

* Exception fix

* Test fix

* add unsupported_op exception

* unsupported_op test

* add printout of unsupported op in model

* fix GPU dispatcher check

* fix test designation

* catch exceptions on single file runs too

* add unsupported_op exception where needed

* remove unsupported_op class

* add unassigned op exception

* add unit test

* catch unsupported op in nbench

* add cpu test back

* update all latest merges

* mode change

* topological sort with cdeps

* add control deps API, fix unit tests

* rollback adjoints changes

* fix test failures,add more tests

* remove dead code

* address scott's feedback

* Add in_place suport for ReplaceSlice

* Add emit_replace_slice_inplace kernel

* changed file permissions to original

* Formatted code using maint/apply-code-format.sh

* Removed data type check and removed dead code

* Removed setting mkldnn_op(true). ReplaceSlice is not mkldnn op

* Add missing header.

* Test for ReduceSum

* Simple tests for reductions

- L1/L2/LogSum/LogSumExp/Max/Mean/Min/Prod/SumSquare.

* Add floating point literal suffix

* Fix typo

* Add support for Quantized Pooling(Max + Avg) op via mkldnn for IA backend (codegen + DEX)

* Add checks for min and max

* Extracting out the common code from codegen and DEX

* Use call_with_validate

* [ONNX] Shape operator

* Review fix pt. 1

* Style check

* Add conv add fusion

* Updated file permissions and cpu_fusion order

* Formatted code using maint/apply-code-format.sh

* Fixed minor review comments

* Use NODE_VALIDATION_ASSERT instead of throw ngraph_error;\nupgrade baseline and fix issues

* Some more fixes

* Add support for Dequantize op via mkldnn for IA backend (codegen + DEX)

* Remove unused variable

* Static cast target range

* constant + pad

* adding broadcast test back

* Implement TopK.

* Update python wrappers for TopK, ArgMin and ArgMax.

* Address some reviewer comments.

* Add type property check tests for TopK.
Set correct TopK behavior for K==0.

* TopK: Add 1d and 3d unit tests.

* Address more reviewer comments.

* Apply code style.

* onnx: add missing header files
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnxifi: implementation of onnxGetBackendIDs
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnxifi: add unit tests for onnxGetBackendIDs
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnxifi: change std::out_of_range to std::length_error
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* onnxifi: after review changes
Signed-off-by: Artur Wojcik <artur.wojcik@intel.com>

* simplify result copy elimination

* gpu fix

* remove include header

* circumvent gpu issue

* add a whitepace

* add cuda reduce

* clang format

* fix bugs

* fix bug

* add 1d reduce

* clang format

* fix bugs

* unroll loop

* remove debug info

* revert tests

* unroll 1D reduce op

* add comments

* using cudnn for nd to scalar reduction

* remove cuda 1d reduction since cudnn version is faster

* remove 1D kernel

* fix bugs

* 1d multi block size

* remove debug

* change kernel name

* add reduce to scalar optimization, add test

* fix bugs and tune parameters

* clang format

* update comments

* update comments

* update comments

* clang format

* update comments

* remove wrong comments, apply clang format

* resolve Bob's comment

* clang format

* pass shared mem size from cuLaunchKernel, set unroll loop size through host code

* remove unused code.clang format

* change reduce to thread with shfl for each warp first

* add seed

* unroll size

* IntelGPU backend: Sum operation optimization

* PR1545. Comments addressed. Test added. Helper function refactored.

* Move reshape utils down to reshape namespace.

* Reshape operation.

* Reshape operator binding.

* Error fixes.

* Reshape unit tests.

* Move flatten utility function to reshape namespace.

* Fix unused catched exception object

* Add Constant support for int64

* Review fix.

* clang-format

* Review fix part 2.

* Enable output shape as a second node input (only Constant).

* Unit test for "dynamic" output shape (from Constant node).

* Review fixes.

* Make sure second Reshape op input is Constant node.

* Validate/infer types as a virtual function
BroadcastLike, ScalarConstantLike
Set output shape separately from output types
Remove some obsolete tests
Replace *Like ops with fixed type versions

* Review comments

* Remove TensorViewType

* Remove PrimaryTensorView

* Reviewer comments

* Style fix.

* Another try at GPU

* GPU

* Simplify class hierarchy

* More of previous.

* Better errors

* Remove unneeded classes

* Merge

* Update Python bindings

* clang-format

* Remove redundant files

* Remove commented out lines

* clang-format

* Group includes

* Missing tests

* Merge error

* [ONNX] Concat operator

* Style fix

* use line comments instead of multiline comments for license header

* update more

* update new files

* more header updates

* style

* normalize doxygen keywords

* more normalization

* normalize more onnx files

* yet more normalization

* fix doxygen error

* [ONNX] Sum op

* [ONNX] Generic variadic op template

* Add support for Min op

* clang-format

* Add support for Max op

* Add support for Mean op

* Docs, code cleanup

* Docs, code cleanup

disabled RNN test to workaround RNN unit test failure on MAC due to bug in MKLDNN scratchpad creation (#1502)

* address klocwork warning

* fix PR comments