* Basic float16

* Basic fp16 support

* typo

* 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.

* Ops: Qconv

* Ops: Convs

* Address PR Feedback.

* Dynamic scale support for qconvs

* updating to amy's recent change

* GroupConv and Cleaning dead code

* Address PR Feedback.

* Remove unused variable.

* Fix a bug.

* Fix style error.

* Change CPU backend to use PassConfig instead of backdoor for codegen

* move is_codegen decl to output dex only flag

* revert change

* Remove parameter, result, and node vector files and class, use vector

* Fix gcc issues

* style

* Remove python references

* update python files

* fix error

* fix build error

* Support constant folding for reshape and broadcast bf16 data

* - Addressed PR feedback
- Adding extra paranthesis for icc

* Generalize types in general convolution

* type-o

* rounding

* Do prod wide

* templatize conv in cpu/kernel & add u8u8 support for Qconv

* Remove cast function

* Avoid compiler warning

* Merge problem

* Implement thread safe calls.

Create MKLDNN primitives on first iteratin for quantized_concat.

* Add buffer_data to CPURuntimeContext.

* Fix bugs.

* Modify unit test.

* Swap vectors of mkldnn primitive pointers for CODEGEN.

* Fix a bug.

* Address PR feedback.

* Rename variables.

* Update Gather, GatherND, and DeconvolutionBias.

* Fix style error.

Disable cpu thread_safe_calls test on Windows.

* - Added support for complex ops used in object detection models
  - PriorBox, PriorBoxClustered, Proposal, RegionYolo, ReorgYolo

* Added  unit test file

* Fix documentation errors

* IntelGPU backend: GroupConvolution implementation

* IntelGPU backend: GroupConvolution with clDNN support added

* use better ctor in cldnn

* IntelGPU backend: Use core fusion pass

* Add BatchFusion pass

* Refactor distributed to be isolated to a few files.

* Fix type-o

* style

* review comments

* type-o

* typo

* Return name

* Add ShapeRelevance pass

* Typo

* Change warmup to run full, normal iterations

* style

* Moving GroupConvolution to ngraph fused opset

* style fix

* remove unused function

* IntelGPU backend: Add GroupConvolution operation into main switch

* Refactor get_default_axis_vector to use std:: functions

* Move get_default_axis_vector to ngraph::op

* Move reorder_axes to ngraph::op::util

* Move reshape helper to ngraph::op::util

* Move DepthToSpace to fused ops

* Add DepthToSpace docstrings

* Move SpaceToDepth to fused ops

* Remove redundant ngraph::op::util::get_default_axis_vector function

* Add ops to serializer

* Change block_size to size_t

* Add fused ops tests

* Add type prop tests

* Add ops to list of ops unsupported on iGPU

* Disable tests in iGPU manifest

* - add safety checks for mkldnn-assignement for quantized inner product

* - add asserts for unsupported data types in builder & emitter code of Quantized Dot

* Add fused version of Elu op

* Refactor ONNX importer prelu function to use fused op

* Style check

* Add docstrings

* Move make_constant_node to op/util

* Use make_constant_node helper

* Remove unneeded std:: prefixes

* Remove make_constant_node function, use builder::make_constant

* Remove redundant includes

* Add Elu to serializer

* Add Elu tests

* Add Elu tests to type prop

* Add Elu to list of ops unsupported on iGPU

* Add Elu to list of ops unsupported on iGPU

* Disable tests in iGPU manifest

* rework PerformanceCounter class

* Update intel gpu to new PerformanceCounter and enable performance on interpreter

* Add new HybridTensor class. Remove Tensor parent.

* upate more backends

* fix GPU tensor

* update intel gpu backend

Added NGRAPH_JSON_ENABLE to conditionally enable code/features relying on external JSON libraries (#2821)

* Update LLVM to 8.0.0

* Required codegen changes to use LLVM 8.0.0

* First rev of NGTF build from nGraph

* Copyright year update

* WIP

* Update test_ngtf_build.py

Updated with the latest repo URL

* Add NgraphTestCase test runner class

* Code improvements

* clang-format

* Add support for multiple output types

* Add reading inputs/outputs from files

* Refactor model_quant_conv_linear_3d

* Add shape checking to NgraphTestCase

* Add expected output shape to model_quant_conv_linear_3d

* Code review

* Remove small data files and move values to test code for legibility

* clang-format

* Refactor model_quant_conv_linear_2d

* Refactor model_dequantize_linear_1d_zero_scale_uint8_negative_axis

* Refactor model_dequantize_linear_1d_zero_scale_int8_4d

* Refactor model_dequantize_linear_1d_zero_scale_int8

* Refactor model_dequantize_linear_1d_zero_scale_uint8

* Refactor model_dequantize_linear_scalar_zero_scale_int8

* Refactor model_dequantize_linear_scalar_zero_scale_uint8

* Refactor model_quantize_linear_axis_negative

* Refactor model_quantize_linear_axis_zero

* Refactor model_quantize_linear_zero_point

* Add shape checking to NgraphTestCase::run

* Refactor NgraphTestCase::run

Workaround for gcc 4.8.2: Suppress mkl-dnn warning manually since pragma GCC diagnostic ignored is not working on gcc 4.8.2 (#2812)

* IntelGPU backend: Set of fusion operations

* avoid test failed after pr merge

* Add numeric_limits for bfloat16 type

* fix constexpr

* Fix broken test in shape specialization pass

* Roll back unnecessary changes to Add

* [ONNX] Extended types support for NgraphTestCase

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

* Add ConstantToBroadcast pass

* address review comment

* fix merge error

* Don't create a separate .so for python onnx importer.

* Pass outer make's -j values to sub make used in python_wheel.

* don't emit empty objects

* Add method to set the option to add output shapes to json

* more cleanup