* 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

* Update fusion doc and add ONNX build flag to buildlb doc

* Fix PR comments

* Final PR review comments addreswsed

* Fix link on reformmatted doc README

* Delete index.rst.save

* add option to copy intput/output data for each iteration

* add support for stale buffers

* 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

* wip

* interperter use switch instead of if/else

* more cleanup

* make nop elimination run on all backends

* revert

* use single include file to define all ops so there is only one instance

* move op.tbl to ngraph/op dir as it is useful. Added useage example.

* add some comments where needed

* revert some changes to reduce delta

* add const

* add more const

* simplify using NodeWrapper

* update per review comments

* update per review comments

* update per review comments

* remove switch warning as it is not supported in older gcc

* 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

* IntelGPU backend: BatchNorm operation optimization

* PR1579. Function moved by request

* ReduceSum and ReduceSumSquare ONNX operations.

* Add new reduction ops.

- ReduceLogSum,
- ReduceLogSumExp,
- ReduceMax,
- ReduceMin,
- ReduceMean,
- ReduceProd.

* Add ReduceL1 and ReduceL2

* Utility generic functions generating monotonic sequences of values.

* Review comments: return AxisSet not std::vector

* Use common functions for generating monotonic sequence.

* Review comments.

* 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.

* Update doc build v and fix doc on captioning

* Clarify to build the library

* update link on README

Double curly-brace initialization (required by clang for non-templated functions) causes a compiler error in centos. (#1561)

Since the warning is not enforced in clang for templated functions, we can get around the centos compiler error with only a single set of curly braces here.

* 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

* Merge descriptor::TensorView into descriptor::Tensot

* fix GPU build

* Added cmake flags to specify D_GLIBCXX_USE_CXX11_ABI and disable building of doc

* Renamed the NGRAPH_DOC_BUILD_ENABLE flag based on PR feedback

* 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.