Updated list of supported operations. (#6981)

* Updated list of supported layers.

* Removed Crop, softsign from Kaldi list.

* Updated limitations.

* Corrected limitations.

* Updated limitations.

* Added Einsum, corrected Where.

* Apply suggestions from code review

Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>

Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>

docs/MO_DG/prepare_model/Supported_Frameworks_Layers.md

@@ -10,8 +10,11 @@ Standard Caffe\* layers:
 | BN | No |
 | BatchNorm | No |
 | Bias | No |
+| Binarization (Intel experimental) | No |
 | Concat | No |
 | Convolution | No |
+| ConvolutionBinary | No |
+| Crop | No |
 | Deconvolution | No |
 | DetectionOutput | No |
 | Dropout | Not needed for inference |
@@ -21,14 +24,25 @@ Standard Caffe\* layers:
 | InnerProduct | No |
 | Input | No |
 | LRN | No |
+| Normalize | No |
+| Python | Supported only for the Python Proposal operation |
 | Permute | No |
 | Pooling | No |
 | Power | No |
+| PReLU | No |
+| PriorBox | No |
+| PriorBoxClustered | No |
+| Proposal | No |
+| PSROIPooling | No |
 | ROIPooling | No |
+| RegionYolo | No |
+| ReorgYolo | No |
 | ReLU | No |
+| Resample | No |
 | Reshape | No |
 | Scale | No |
 | ShuffleChannel | No |
+| Sigmoid | No |
 | Slice | No |
 | Softmax | No |
 | Tile | No |
@@ -41,31 +55,44 @@ Standard MXNet\* symbols:
 | Symbol Name in MXNet\*| Limitations|
 | :----------| :----------|
 | _Plus | No |
+| _contrib_box_nms | No |
+| _contrib_DeformableConvolution | No |
+| _contrib_DeformablePSROIPooling | No |
 | _contrib_MultiBoxDetection | "force_suppress" = 1 is not supported, non-default variances are not supported |
 | _contrib_MultiBoxPrior | No |
 | _contrib_Proposal | No |
 | _copy | Not needed for inference |
+| _div_scalar | No |
+| _greater_scalar | No |
 | _minus_scalar | No |
 | _mul_scalar | No |
+| _plus_scalar | No |
+| _rnn_param_concat | No |
 | _arange | No |
 | _contrib_AdaptiveAvgPooling2D | Converted to the Average Pooling with fixed paddings |
 | _maximum | No |
 | _minimum | No |
 | _np_roll | No |
+| _zeros | No |
 | add_n | No |
 | arccosh | No |
 | arcsinh | No |
 | arctanh | No |
 | broadcast_add | No |
+| broadcast_div | No |
 | broadcast_mul | No |
+| broadcast_sub | No |
+| BlockGrad | No |
 | cumsum | No |
 | div_scalar | No |
 | elementwise_sub | No |
 | elemwise_add | No |
 | elemwise_mul | No |
+| elemwise_sub | No |
 | exp | No |
 | expand_dims | No |
 | greater_scalar | No |
+| max | No |
 | minus_scalar | No |
 | null | Not needed for inference |
 | repeat | No |
@@ -74,9 +101,11 @@ Standard MXNet\* symbols:
 | round | No |
 | sigmoid | No |
 | slice | No |
+| SliceChannel | No |
 | slice_axis | No |
 | slice_channel | No |
 | slice_like | No |
+| softmax | No |
 | stack | No |
 | swapaxis | No |
 | tile | No |
@@ -100,6 +129,7 @@ Standard MXNet\* symbols:
 | L2Normalization | only 4D input is supported |
 | LRN | No |
 | LeakyReLU | supported "act_type" = "prelu", "elu", "leaky", "gelu" |
+| ones_like | No |
 | Pad | No |
 | Pooling | No |
 | ROIPooling | No |
@@ -113,6 +143,7 @@ Standard MXNet\* symbols:
 | Tile | No |
 | UpSampling | No |
 | Where | No |
+| zeros_like | No |
 
 
 ## TensorFlow\* Supported Operations
@@ -123,18 +154,27 @@ Standard TensorFlow\* operations:
 
 | Operation Name in TensorFlow\* | Limitations|
 | :----------| :----------|
+| Abs | No |
 | Acosh | No |
 | Add | No |
 | AddV2 | No |
 | AddN | No |
+| All | No |
 | ArgMax | No |
 | ArgMin | No |
 | Asinh | No |
+| Assert | Not needed for inference |
+| Assign | Not needed for inference |
+| AssignSub | Not needed for inference |
 | Atanh | No |
 | AvgPool | No |
 | AvgPoolV2 | Supported only for constant-foldable kernel_size and strides inputs |
+| AvgPool3D | No |
+| BatchMatMul | No |
+| BatchMatMulV2 | No |
 | BatchToSpaceND | No |
 | BiasAdd | No |
+| BlockLSTM | No |
 | Bucketize | CPU only |
 | BroadcastTo | No |
 | Cast | No |
@@ -144,14 +184,21 @@ Standard TensorFlow\* operations:
 | Const | No |
 | Conv2D | No |
 | Conv2DBackpropInput | No |
+| Conv3D | No |
+| Conv3DBackpropInputV2 | No |
 | Cos | No |
 | Cosh | No |
 | CropAndResize | "method" = "bilinear" only |
+| CTCGreedyDecoder | Supported only with decoded indices output in a dense format |
+| CTCLoss | Supported only with decoded indices input in a dense format |
 | CumSum | No |
 | DepthToSpace| No |
 | DepthwiseConv2dNative| No |
+| Einsum | Supported only with equation that does not contain repeated labels within a subscript |
+| Elu | No |
 | Enter | Supported only when it is fused to the TensorIterator layer |
 | Equal | No |
+| Erf | No |
 | Exit | Supported only when it is fused to the TensorIterator layer |
 | Exp | No |
 | ExpandDims | No |
@@ -163,34 +210,43 @@ Standard TensorFlow\* operations:
 | FFT | Supported only when it is part of a sub-graph of the special form |
 | FFT2D | Supported only when it is part of a sub-graph of the special form |
 | FFT3D | Supported only when it is part of a sub-graph of the special form |
+| FIFOQueueV2 | Supported only when it is part of a sub-graph of the special form |
 | Fill | No |
 | Floor | No |
 | FloorDiv | No |
+| FloorMod | No |
 | FusedBatchNorm | No |
 | FusedBatchNormV2 | No |
 | FusedBatchNormV3 | No |
 | Gather | No |
 | GatherNd | No |
+| GatherTree | No |
 | GatherV2 | No |
 | Greater | No |
 | GreaterEqual | No |
 | Identity | Not needed for shape inference |
+| IdentityN | No |
 | IFFT | Supported only when it is part of a sub-graph of the special form |
 | IFFT2D | Supported only when it is part of a sub-graph of the special form |
 | IFFT3D | Supported only when it is part of a sub-graph of the special form |
+| IteratorGetNext | Supported only when it is part of a sub-graph of the special form |
 | LRN | No |
+| LeakyRelu | No |
 | Less | No |
+| LessEqual | No |
 | Log | No |
 | Log1p | No |
 | LogicalAnd | No |
 | LogicalOr | No |
 | LogicalNot | No |
 | LogSoftmax | No |
+| LookupTableInsertV2 | Supported only when it is part of a sub-graph of the special form |
 | LoopCond | Supported only when it is fused to the TensorIterator layer |
 | MatMul | No |
 | Max | No |
 | MaxPool | No |
 | MaxPoolV2 | Supported only for constant-foldable kernel_size and strides inputs |
+| MaxPool3D | No |
 | Maximum | No |
 | Mean | No |
 | Merge | Supported only when it is fused to the TensorIterator layer |
@@ -200,9 +256,11 @@ Standard TensorFlow\* operations:
 | Mul | No |
 | Neg | No |
 | NextIteration | Supported only when it is fused to the TensorIterator layer |
+| NonMaxSuppressionV2 | No |
 | NonMaxSuppressionV3 | No |
 | NonMaxSuppressionV4 | No |
 | NonMaxSuppressionV5 | No |
+| NotEqual | No |
 | NoOp | No |
 | OneHot | No |
 | Pack | No |
@@ -211,9 +269,11 @@ Standard TensorFlow\* operations:
 | Placeholder | No |
 | PlaceholderWithDefault | No |
 | Prod | No |
+| QueueDequeueUpToV2 | Supported only when it is part of a sub-graph of the special form |
 | Range | No |
 | Rank | No |
 | RealDiv | No |
+| Reciprocal | No |
 | Relu | No |
 | Relu6 | No |
 | Reshape | No |
@@ -221,9 +281,12 @@ Standard TensorFlow\* operations:
 | ResizeNearestNeighbor | No |
 | ResourceGather| No |
 | ReverseSequence | No |
+| ReverseV2 | Supported only when can be converted to the ReverseSequence operation |
 | Roll | No |
 | Round | No |
+| Pow | No |
 | Rsqrt | No |
+| Select | No |
 | Shape | No |
 | Sigmoid | No |
 | Sin | No |
@@ -234,6 +297,10 @@ Standard TensorFlow\* operations:
 | Softplus | No |
 | Softsign | No |
 | SpaceToBatchND | No |
+| SpaceToDepth | No |
+| SparseFillEmptyRows | Supported only when it is part of a sub-graph of the special form |
+| SparseReshape | Supported only when it is part of a sub-graph of the special form |
+| SparseSegmentSum | Supported only when it is part of a sub-graph of the special form |
 | SparseToDense | CPU only |
 | Split | No |
 | SplitV | No |
@@ -242,11 +309,13 @@ Standard TensorFlow\* operations:
 | SquaredDifference | No |
 | Square| No |
 | Squeeze | The case when squeeze axis is not specified is not supported |
+| StatelessWhile | No |
 | StopGradient | Not needed for shape inference |
 | StridedSlice | Supported only for constant-foldable begin, end, and strides inputs |
 | Sub | No |
 | Sum | No |
 | Swish | No |
+| swish_f32 | No |
 | Switch | Control flow propagation |
 | Tan | No |
 | Tanh | No |
@@ -260,7 +329,9 @@ Standard TensorFlow\* operations:
 | TopkV2 | No |
 | Transpose | No |
 | Unpack | No |
-| Where | No |
+| Variable | No |
+| VariableV2 | No |
+| Where | Supported only when it is part of a sub-graph of the special form |
 | ZerosLike | No |
 
 
@@ -356,13 +427,15 @@ Standard Kaldi\* Layers:
 | :----------| :----------|
 | addshift | No |
 | affinecomponent | No |
+| affinecomponentpreconditionedonline | No |
 | affinetransform | No |
+| backproptruncationcomponent | No |
+| batchnormcomponent | No |
 | clipgradientcomponent | Not needed for inference |
 | concat | No |
 | convolutional1dcomponent | No |
 | convolutionalcomponent | No |
 | copy | No |
-| Crop | No |
 | elementwiseproductcomponent | No |
 | fixedaffinecomponent | No |
 | fixedbiascomponent | No |
@@ -383,9 +456,9 @@ Standard Kaldi\* Layers:
 | rectifiedlinearcomponent | No |
 | rescale | No |
 | sigmoid | No |
+| sigmoidcomponent | No |
 | softmax | No |
 | softmaxComponent | No |
-| softsign | No |
 | specaugmenttimemaskcomponent | Not needed for inference |
 | splicecomponent | No |
 | tanhcomponent | No |
@@ -404,12 +477,14 @@ Standard ONNX\* operators:
 | Acosh | No |
 | Add | No |
 | Affine | No |
+| And | No |
 | ArgMax | No |
 | ArgMin | No |
 | Asin | No |
 | Asinh | No |
 | Atan | No |
 | Atanh | No |
+| ATen | Supported only for the 'embedding_bag' operator |
 | AveragePool | No |
 | BatchMatMul | No |
 | BatchNormalization | No |
@@ -426,6 +501,7 @@ Standard ONNX\* operators:
 | Cosh | No |
 | Crop | No |
 | CumSum | No |
+| DepthToSpace | No |
 | DequantizeLinear | No |
 | DetectionOutput (Intel experimental) | No |
 | Div | No |
@@ -433,7 +509,14 @@ Standard ONNX\* operators:
 | Elu | No |
 | Equal | No |
 | Erf | No |
+| Exp | No |
 | Expand | No |
+| ExperimentalDetectronDetectionOutput (Intel experimental) | No |
+| ExperimentalDetectronGenerateProposalsSingleImage (Intel experimental) | No |
+| ExperimentalDetectronGroupNorm (Intel experimental) | No |
+| ExperimentalDetectronPriorGridGenerator (Intel experimental) | No |
+| ExperimentalDetectronROIFeatureExtractor (Intel experimental) | No |
+| ExperimentalDetectronTopKROIs (Intel experimental) | No |
 | FakeQuantize (Intel experimental) | No |
 | Fill | No |
 | Flatten | No |
@@ -451,6 +534,7 @@ Standard ONNX\* operators:
 | HardSigmoid | No |
 | Identity | Not needed for inference |
 | ImageScaler | No |
+| InstanceNormalization | No |
 | LRN | No |
 | LSTM | Peepholes are not supported |
 | LeakyRelu | No |
@@ -461,7 +545,9 @@ Standard ONNX\* operators:
 | LogicalOr | No |
 | LogSoftmax | No |
 | Loop | No |
+| LpNormalization | No |
 | MatMul | No |
+| Max | No |
 | MaxPool | No |
 | MeanVarianceNormalization | Reduction over the batch dimension is not supported, reduction over all dimensions except batch and channel ones is obligatory |
 | Min | No |
@@ -475,6 +561,7 @@ Standard ONNX\* operators:
 | Pad | No |
 | Pow | No |
 | PriorBox (Intel experimental) | No |
+| PriorBoxClustered | No |
 | QuantizeLinear | No |
 | RNN | No |
 | ROIAlign | No |
@@ -506,6 +593,7 @@ Standard ONNX\* operators:
 | Softplus | No |
 | Softsign | No |
 | SpaceToDepth | No |
+| Split | No |
 | Sqrt | No |
 | Squeeze | The case when squeeze axis is not specified is not supported |
 | Sub | No |