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Onnx updates (#10962)

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* onnx changes

* onnx updates

* onnx updates
This commit is contained in:
Victoria Yashina
2022-03-15 15:16:10 +03:00
committed by GitHub
parent e20e828a1f
commit a7f1710edf
1 changed files with 178 additions and 138 deletions
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docs/MO_DG/prepare_model/Supported_Frameworks_Layers.md
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@@ -480,146 +480,186 @@ Some TensorFlow operations do not match to any OpenVINO operation, but are still
## ONNX Supported Operators
### Standard ONNX Operators
| Symbol Name in ONNX| Limitations|
| :----------| :----------|
| Abs | |
| Acos | |
| Acosh | |
| Add | |
| Affine | |
| And | |
| ArgMax | |
| ArgMin | |
| Asin | |
| Asinh | |
| Atan | |
| Atanh | |
| ATen | Supported only for the 'embedding_bag' operator |
| AveragePool | |
| BatchMatMul | |
| BatchNormalization | |
| Cast | |
| Ceil | |
| Clip | |
| Concat | |
| Constant | |
| ConstantFill | |
| ConstantOfShape | |
| Conv | |
| ConvTranspose | |
| Cos | |
| Cosh | |
| Crop | |
| CumSum | |
| DepthToSpace | |
| DequantizeLinear | |
| DetectionOutput (Intel experimental) | |
| Div | |
| Dropout | Not needed for inference |
| Elu | |
| Equal | |
| Erf | |
| Exp | |
| Expand | |
| ExperimentalDetectronDetectionOutput (Intel experimental) | |
| ExperimentalDetectronGenerateProposalsSingleImage (Intel experimental) | |
| ExperimentalDetectronGroupNorm (Intel experimental) | |
| ExperimentalDetectronPriorGridGenerator (Intel experimental) | |
| ExperimentalDetectronROIFeatureExtractor (Intel experimental) | |
| ExperimentalDetectronTopKROIs (Intel experimental) | |
| FakeQuantize (Intel experimental) | |
| Fill | |
| Flatten | |
| Floor | |
| GRU | |
| Gather | |
| GatherElements | Doesn't work with negative indices |
| GatherND | Doesn't work with negative indices |
| GatherTree | |
| Gemm | |
| GlobalAveragePool | |
| GlobalMaxPool | |
| Greater | |
| GreaterEqual | |
| HardSigmoid | |
| Identity | Not needed for inference |
| ImageScaler | |
| InstanceNormalization | |
| LRN | |
| LSTM | Peepholes are not supported |
| LeakyRelu | |
| Less | |
| LessEqual | |
| Log | |
| LogicalAnd | |
| LogicalOr | |
| LogSoftmax | |
| Loop | |
| LpNormalization | |
| MatMul | |
| Max | |
| MaxPool | |
| MeanVarianceNormalization | Reduction over the batch dimension is not supported, reduction over all dimensions except batch and channel ones is obligatory |
| Min | |
| Mul | |
| Neg | |
| NonMaxSuppression | |
| NonZero | |
| Not | |
| NotEqual | |
| OneHot | |
| Pad | |
| Pow | |
| PriorBox (Intel experimental) | |
| PriorBoxClustered | |
| QuantizeLinear | |
| RNN | |
| ROIAlign | |
| Range | |
| RandomUniform | Operation provides sequence from uniform distribution, but exact values won't match. |
| Reciprocal | |
| ReduceL1 | |
| ReduceL2 | |
| ReduceMax | |
| ReduceMean | |
| ReduceMin | |
| ReduceProd | |
| ReduceSum | |
| Relu | |
| Reshape | |
| Resize | Coordinate transformation mode `tf_crop_and_resize` is not supported, `nearest` mode is not supported for 5D+ inputs. |
| ReverseSequence | |
| Round | |
| Scatter | Supported if fuse-able to ScatterUpdate. MYRIAD only |
| ScatterND | |
| ScatterElements | Supported if fuse-able to ScatterUpdate. MYRIAD only |
| Select | |
| Shape | |
| Sigmoid | |
| Sign | |
| Sin | |
| Size | |
| Slice | |
| Softmax | |
| Softplus | |
| Softsign | |
| SpaceToDepth | |
| Split | |
| Sqrt | |
| Squeeze | The case when squeeze axis is not specified is not supported |
| Sub | |
| Sum | |
| Tan | |
| Tanh | |
| ThresholdedRelu | |
| TopK | |
| Transpose | |
| Unsqueeze | |
| Upsample | |
| Where | |
| Xor | |
| ONNX Operator Name |
| :----------|
| Abs |
| Acos |
| Acosh |
| And |
| ArgMin |
| ArgMax |
| Asin |
| Asinh |
| Atan |
| ATen |
| Atanh |
| AveragePool |
| BatchNormalization |
| BitShift |
| Cast |
| CastLike |
| Ceil |
| Clip |
| Concat |
| Constant |
| ConstantOfShape |
| Conv |
| ConvInteger |
| ConvTranspose |
| Compress |
| Cos |
| Cosh |
| ConstantFill |
| CumSum |
| DepthToSpace |
| DequantizeLinear |
| Div |
| Dropout |
| Einsum |
| Elu |
| Equal |
| Erf |
| Exp |
| Expand |
| EyeLike |
| Flatten |
| Floor |
| Gather |
| GatherElements |
| GatherND |
| Gemm |
| GlobalAveragePool |
| GlobalLpPool |
| GlobalMaxPool |
| Greater |
| GRU |
| Hardmax |
| HardSigmoid |
| HardSwish |
| Identity |
| If |
| ImageScaler |
| InstanceNormalization |
| LeakyRelu |
| Less |
| Log |
| LogSoftmax |
| Loop |
| LpNormalization |
| LRN |
| LSTM |
| MatMulInteger |
| MatMul |
| MaxPool |
| Max |
| Mean |
| MeanVarianceNormalization |
| Min |
| Mod |
| Mul |
| Neg |
| NonMaxSuppression |
| NonZero |
| Not |
| Or |
| OneHot |
| Pad |
| Pow |
| PRelu |
| QLinearConv |
| QLinearMatMul |
| QuantizeLinear |
| Range |
| RandomNormal |
| RandomNormalLike |
| RandomUniform |
| RandomUniformLike |
| Reciprocal |
| ReduceLogSum |
| ReduceLogSumExp |
| ReduceL1 |
| ReduceL2 |
| ReduceMax |
| ReduceMean |
| ReduceMin |
| ReduceProd |
| ReduceSum |
| ReduceSumSquare |
| Relu |
| Reshape |
| Resize |
| ReverseSequence |
| RNN |
| RoiAlign |
| Round |
| ScatterElements |
| ScatterND |
| Selu |
| Shape |
| Shrink |
| Sigmoid |
| Sign |
| Sin |
| Sinh |
| Size |
| Slice |
| Softmax |
| Softplus |
| Softsign |
| SpaceToDepth |
| Split |
| Sqrt |
| Squeeze |
| Sub |
| Sum |
| Tan |
| Tanh |
| ThresholdedRelu |
| Tile |
| TopK |
| Transpose |
| Unsqueeze |
| Where |
| Xor |
### Deprecated ONNX Operators (Supported)
| ONNX Operator Name |
| :----------|
| Affine |
| Crop |
| Scatter |
| Upsample |
### Operators From the org.openvinotoolkit Domain
| Custom ONNX Operator Name |
| :----------|
| DeformableConv2D |
| DetectionOutput |
| ExperimentalDetectronDetectionOutput |
| ExperimentalDetectronGenerateProposalsSingleImage |
| ExperimentalDetectronGroupNorm |
| ExperimentalDetectronPriorGridGenerator |
| ExperimentalDetectronROIFeatureExtractor |
| ExperimentalDetectronTopKROIs |
| FakeQuantize |
| GroupNorm |
| Normalize |
| PriorBox |
| PriorBoxClustered |
| Swish |
### Operators From the com.microsoft Domain
| Custom ONNX Operator Name |
| :----------|
| Attention |
| BiasGelu |
| EmbedLayerNormalization |
| SkipLayerNormalization |
## PaddlePaddle Supported Operators