* Support Slice layer with multiple inputs

* Add test

* Supported Resize from PyTorch

* Rewrite test

* Remove Cast layer (supported in #16735)

* Support ConstantOfShape

* Fix tests

* Fix coments

* Remove useless condition

* Fixed failed tests

* Supported Flatten for constant nodes

* Added default axis

* Refactoring

* Refactoring

* Added cast layer

* Fix comments

* Add Cast for layers

* Supported Div op for constants

* Added Mul test

Add CP-VTON sample

* Support resize from PyTorch

* Add CP-VTON sample

* Fix downsampling

* Fix test

* Add model links

* Add default args

* Speed up resize

* Fix TOM link

* Add default args

* Fix comments

* Set aspect ratio for input

* Update links

* Check files exist

* fixed Split layer in ONNXImporter

* added test for fix of split layer

* fixed tests for Split layer

* applied reviews

* updated tests

* fixed paths in tests

Should be used to guard unsafe type casts of pointers

Supported ONNX Squeeze, ReduceL2 and Eltwise::DIV

* Support eltwise div

* Fix test

* OpenCL support added

* refactoring

* fix code style

* Only squeeze with axes supported

* Added support for the ONNX "ReduceMean" Layer. (as this is the same as the GlobalAveragePool)

* Add ReduceMean test

* Fix ONNX importer

* Fix ReduceMean

* Add assert

* Split test

* Fix split test

* Support Deconvolution3D on IE backend

* Add test tag

* Fix tests

Instancenorm onnx (#14858)

* Onnx unsupported operation handling

* instance norm implementation

* Revert "Onnx unsupported operation handling"

* instance norm layer test

* onnx instancenorm layer

* onnx clip operation

* Support Slice layer in ONNX importer

* Add IE support

* Fix ONNX importer

* Fix Slice

Fix wrong indentation as well while at it

Support Convolution3D layer on IE backend (#14301)

* Add Convolution3D layer

* Disable CXX11

* Fixed tests

* Add Pooling3D layer

* Merge Conv2d with Conv3d and Pool2d with Pool3d layers

* Split pads

* Add Deconvolution layer

* Refactoring

* Deduplication

* Refactoring

* Add utils for Convolution and Pooling layers

This is relevant to cases where the net is loaded from an ONNX model
containing ConvTranspose layers, which may include the output_shape
attribute.

c.f. https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConvTranspose

Reduce input size for OpenPose tests

* Add support for ConvTranspose when parsing ONNX.

* Add support for ConvTranspose when parsing ONNX.

* Add test for Deconvolution

* Add Shufflenet support in ONNX

* Add test for transpose layer

* Fix #12542

* Remove ignore of non-virtual-dtor error

Support asymmetric padding in pooling layer (#12519)

* Add Inception_V1 support in ONNX

* Add asymmetric padding in OpenCL and Inference engine

* Refactoring

* Add Squeezenet support in ONNX

* Add AlexNet support in ONNX

* Add Googlenet support in ONNX

* Add CaffeNet and RCNN support in ONNX

* Add VGG16 and VGG16 with batch normalization support in ONNX

* Add RCNN, ZFNet, ResNet18v1 and ResNet50v1 support in ONNX

* Add ResNet101_DUC_HDC

* Add Tiny Yolov2

* Add CNN_MNIST, MobileNetv2 and LResNet100 support in ONNX

* Add ONNX models for emotion recognition

* Add DenseNet121 support in ONNX

* Add Inception v1 support in ONNX

* Refactoring

* Fix tests

* Fix tests

* Skip unstable test

* Modify Reshape operation