# Lite算子支持
[](https://gitee.com/mindspore/docs/blob/master/docs/lite/docs/source_zh_cn/reference/operator_list_lite.md)
MindSpore Lite支持不同硬件后端的算子列表：
| 操作名
| CPU
FP16 | CPU
FP32 | CPU
Int32 | CPU
Int8 | CPU
UInt8 | CPU
Bool | Mali/Adreno GPU
FP16 | Mali/Adreno GPU
FP32 | Mali/Adreno GPU
Int32 | Mali/Adreno GPU
Int8 | 麒麟NPU
FP16 | 英伟达GPU
FP16 | 昇腾
FP16 |
| ----------------------------------- | :----------: | :----------: | ------------- | :----------: | :-----------: | ------------ | :----------------------: | :----------------------: | ------------------------- | ------------------------ | :--------------------: | :----------------: | :----------------------: |
| Abs | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| AbsGrad | | ✅ | | | | | | | | | | | |
| Activation | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| ActivationGrad | ✅ | ✅ | | | | | | | | | | | |
| Adam | | ✅ | | | | | | | | | | | |
| AddFusion | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | ✅ | ✅ |
| AdderFusion | | ✅ | | | | | | | | | | | |
| AddGrad | | ✅ | | | | | | | | | | | |
| AddN | ✅ | ✅ | | | | | | | | | | | |
| Affine | | ✅ | | | | | | | | | | | ✅ |
| All | | ✅ | | | | | | | | | | ✅ | |
| AllGather | | ✅ | | | | | | | | | | ✅ | |
| ApplyMomentum | | ✅ | | | | | | | | | | | ✅ |
| Assert | ✅ | ✅ | | | | ✅ | | | | | | | |
| Assign | | ✅ | | | | | | | | | | | ✅ |
| ArgmaxFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| ArgminFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | | ✅ |
| AvgPoolFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| AvgPoolGrad | ✅ | ✅ | | | | | | | | | | | |
| BatchNorm | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | | ✅ |
| BatchNormGrad | ✅ | ✅ | | | | | | | | | | | |
| BatchToSpace | | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | | |
| BatchToSpaceND | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | | |
| BiasAdd | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | ✅ | ✅ |
| BiasAddGrad | ✅ | ✅ | | | | | | | | | | | |
| BinaryCrossEntropy | | ✅ | | | | | | | | | | | ✅ |
| BinaryCrossEntropyGrad | | ✅ | | | | | | | | | | | |
| BroadcastTo | ✅ | ✅ | ✅ | | | ✅ | | | | | | | |
| Call | ✅ | ✅ | ✅ | | | ✅ | | | | | | | ✅ |
| Cast | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| Ceil | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| Clip | | ✅ | ✅ | | | | | | | | | | ✅ |
| Concat | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | ✅ |
| ConstantOfShape | ✅ | ✅ | ✅ | | | | | | | | | | |
| Conv2DFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| Conv2DBackpropFilterFusion | ✅ | ✅ | | | | | | | | | | | |
| Conv2DBackpropInputFusion | ✅ | ✅ | | | | | | | | | | | |
| Conv2dTransposeFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| Cos | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| Crop | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | | | | |
| CropAndResize | | ✅ | | | | | | | | | ✅ | | |
| CumSum | | ✅ | ✅ | | | | | | | | | | ✅ |
| CustomExtractFeatures | | ✅ | | | | | | | | | | | |
| CustomNormalize | | ✅ | | | | | | | | | | | |
| CustomPredict | | ✅ | ✅ | | | | | | | | | | |
| DEConv2DGradFilter | | ✅ | | | | | | | | | | | |
| DepthToSpace | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | | |
| DetectionPostProcess | | ✅ | | ✅ | ✅ | | | | | | | | |
| DivFusion | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| DivGrad | | ✅ | | | | | | | | | | | |
| Dropout | ✅ | ✅ | | | | | | | | | | | ✅ |
| DropoutGrad | ✅ | ✅ | | | | | | | | | | | |
| DynamicQuant | | ✅ | | | | | | | | | | | |
| Eltwise | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| Elu | ✅ | ✅ | | | | | | | | | | | ✅ |
| Equal | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| EmbeddingLookupFusion | | ✅ | | | | | | | | | | | |
| Erf | ✅ | ✅ | | | | | | | | | | | ✅ |
| ExpFusion | ✅ | ✅ | | | | | ✅ | ✅ | | | | | ✅ |
| ExpandDims | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | ✅ |
| Fill | ✅ | ✅ | ✅ | | | ✅ | ✅ | ✅ | | | | | ✅ |
| Flatten | ✅ | ✅ | ✅ | | | | | | | | | ✅ | ✅ |
| FlattenGrad | ✅ | ✅ | | | | | | | | | | | |
| Floor | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| FloorDiv | ✅ | ✅ | ✅ | | | | ✅ | ✅ | | | ✅ | | |
| FloorMod | ✅ | ✅ | ✅ | | | | ✅ | ✅ | | | ✅ | | |
| FullConnection | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| FusedBatchNorm | ✅ | ✅ | | ✅ | ✅ | | | | | | ✅ | | ✅ |
| GatherNd | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | ✅ |
| Gather | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | ✅ |
| GatherD | ✅ | ✅ | ✅ | | | ✅ | | | | | | | ✅ |
| GLU | | ✅ | | | | | | | | | | | |
| Greater | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| GreaterEqual | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| GroupNormFusion | | ✅ | | | | | | | | | | | |
| GRU | ✅ | ✅ | | | | | | | | | | | |
| HashtableLookup | | ✅ | ✅ | | | | | | | | | | |
| InstanceNorm | ✅ | ✅ | | | | | | | | | ✅ | | ✅ |
| InvertPermutation | ✅ | ✅ | ✅ | | | | | | | | | | |
| IsFinite | | ✅ | | | | | | | | | | | ✅ |
| L2NormalizeFusion | | ✅ | | ✅ | ✅ | | | | | | | | |
| LayerNormFusion | ✅ | ✅ | | ✅ | | | ✅ | ✅ | | | | | ✅ |
| LayerNormGrad | ✅ | ✅ | | | | | | | | | | | |
| LeakyReLU | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| Less | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| LessEqual | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| LRN | | ✅ | | | | | | | | | | | ✅ |
| Log | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| Log1p | | ✅ | | | | | | | | | | | ✅ |
| LogGrad | ✅ | ✅ | | | | | | | | | | | |
| LogicalAnd | ✅ | ✅ | ✅ | | | ✅ | ✅ | ✅ | | | ✅ | | |
| LogicalNot | ✅ | ✅ | | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | | |
| LogicalOr | ✅ | ✅ | | | | ✅ | ✅ | ✅ | | | ✅ | | |
| LogSoftmax | ✅ | ✅ | | | | | | | | | | | ✅ |
| LshProjection | | ✅ | | | | | | | | | | | |
| LSTM | ✅ | ✅ | | | | | | | | | | | |
| LSTMGrad | | ✅ | | | | | | | | | | | |
| LSTMGradData | | ✅ | | | | | | | | | | | |
| LSTMGradWeight | | ✅ | | | | | | | | | | | |
| MatMulFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| Maximum | ✅ | ✅ | ✅ | | | | ✅ | ✅ | | | ✅ | | ✅ |
| MaximumGrad | ✅ | ✅ | | | | | | | | | | | |
| MaxPoolFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| MaxPoolGrad | ✅ | ✅ | | | | | | | | | | | |
| Merge | ✅ | ✅ | | | | | | | | | | | |
| Minimum | ✅ | ✅ | ✅ | | | | ✅ | ✅ | | | ✅ | | ✅ |
| MinimumGrad | ✅ | ✅ | | | | | | | | | | | |
| Mod | | ✅ | ✅ | | | | | | | | | | ✅ |
| MulFusion | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| MulGrad | | ✅ | | | | | | | | | | | |
| Neg | ✅ | ✅ | ✅ | | | | ✅ | ✅ | | | ✅ | | ✅ |
| NegGrad | ✅ | ✅ | | | | | | | | | | | |
| NLLLoss | | ✅ | | | | | | | | | | | ✅ |
| NLLLossGrad | | ✅ | | | | | | | | | | | |
| NotEqual | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | |
| NonMaxSupppression | | ✅ | | | | | | | | | | | ✅ |
| NonZero | | | | | | ✅ | | | | | | | ✅ |
| OneHot | ✅ | ✅ | ✅ | | | | ✅ | ✅ | ✅ | | | | |
| OnesLike | ✅ | ✅ | ✅ | | | | | | | | | ✅ | ✅ |
| PadFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| PartialFusion | ✅ | ✅ | ✅ | | | ✅ | | | | | | | |
| PowFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | ✅ | ✅ |
| PowerGrad | | ✅ | | | | | | | | | | | |
| PriorBox | | ✅ | | ✅ | ✅ | | | | | | | | ✅ |
| PReLUFusion | ✅ | ✅ | | | | | ✅ | ✅ | | | | | ✅ |
| QuantDTypeCast | ✅ | ✅ | | ✅ | ✅ | | | | | | | | |
| RaggedRange | ✅ | ✅ | ✅ | | | | | | | | | | |
| RandomNormal | ✅ | ✅ | | | | | | | | | | | |
| RandomStandardNormal | ✅ | ✅ | | | | | | | | | | | |
| Range | ✅ | ✅ | ✅ | | | | | | | | | | ✅ |
| Rank | ✅ | ✅ | | | | | | | | | | | |
| RealDiv | ✅ | ✅ | | | | | | | | | | | ✅ |
| Reciprocal | ✅ | ✅ | | ✅ | | | | | | | ✅ | | ✅ |
| ReduceFusion | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| ReduceScatter | | ✅ | | | | | | | | | | ✅ | |
| Reshape | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | ✅ |
| Resize | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | |
| ResizeGrad | ✅ | ✅ | | | | | | | | | | | |
| ReverseV2 | | ✅ | ✅ | | | | | | | | | | |
| ReverseSequence | | ✅ | | | | | | | | | | | ✅ |
| ROIPooling | | ✅ | | | | | | | | | | | ✅ |
| Round | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| Rsqrt | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | |
| RsqrtGrad | | ✅ | | | | | | | | | | | ✅ |
| Select | | ✅ | | | | ✅ | | | | | | | |
| Selu | | | | | | | | | | | | | |
| ScaleFusion | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| ScatterNd | ✅ | ✅ | ✅ | | | | | | | | | | ✅ |
| ScatterNdUpdate | ✅ | ✅ | ✅ | | | | | | | | | | |
| SGD | | ✅ | | | | | | | | | | | ✅ |
| Shape | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | ✅ |
| SigmoidCroosEntropyWithLogits | | ✅ | | | | | | | | | | | ✅ |
| SigmoidCroosEntropyWithLogitsGrad | | ✅ | | | | | | | | | | | ✅ |
| Sin | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| Size | ✅ | ✅ | ✅ | | | | | | | | | | ✅ |
| SliceFusion | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| SkipGram | | ✅ | | | | | | | | | | | |
| SmoothL1Loss | | ✅ | | | | | | | | | | | ✅ |
| SmoothL1LossGrad | | ✅ | | | | | | | | | | | ✅ |
| Softmax | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| SoftmaxGrad | | ✅ | | | | | | | | | | | |
| Softplus | ✅ | ✅ | | | | | | | | | | | ✅ |
| SpaceToBatch | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | | |
| SpaceToBatchND | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | | | |
| SpaceToDepth | ✅ | ✅ | | | | | ✅ | ✅ | | | | | ✅ |
| SparseToDense | ✅ | ✅ | ✅ | | | | ✅ | ✅ | ✅ | | | | |
| SparseSoftmaxCrossEntropyWithLogits | | ✅ | | | | | | | | | | | ✅ |
| Splice | ✅ | ✅ | | | | | | | | | | | |
| Split | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| SplitWithOverlap | ✅ | ✅ | | | | | | | | | | | |
| Sqrt | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| SqrtGrad | | ✅ | | | | | | | | | | | ✅ |
| Square | ✅ | ✅ | | ✅ | ✅ | | ✅ | ✅ | | | ✅ | | ✅ |
| SquaredDifference | ✅ | ✅ | | | | | ✅ | ✅ | | | | | |
| Squeeze | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | ✅ | |
| StridedSlice | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| StridedSliceGrad | ✅ | ✅ | | | | | | | | | | | |
| Stack | ✅ | ✅ | ✅ | | | | ✅ | ✅ | | | | | ✅ |
| SubFusion | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| SubGrad | | ✅ | | | | | | | | | | | |
| Switch | ✅ | ✅ | ✅ | | | ✅ | | | | | | | |
| SwitchLayer | ✅ | ✅ | ✅ | | | ✅ | | | | | | | |
| TensorListFromTensor | ✅ | ✅ | ✅ | | | | | | | | | | |
| TensorListGetItem | ✅ | ✅ | ✅ | | | | | | | | | | |
| TensorListReserve | ✅ | ✅ | ✅ | | | | | | | | | | |
| TensorListSetItem | ✅ | ✅ | ✅ | | | | | | | | | | |
| TensorListStack | ✅ | ✅ | ✅ | | | | | | | | | | |
| TensorScatterAdd | | ✅ | ✅ | | | | | | | | | | |
| TileFusion | ✅ | ✅ | ✅ | | | ✅ | | | | | ✅ | | ✅ |
| TopKFusion | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | | | | ✅ |
| Transpose | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | ✅ | | | ✅ | ✅ | ✅ |
| UniformReal | | ✅ | ✅ | | | | | | | | | | |
| Unique | ✅ | ✅ | ✅ | | | | | | | | | | |
| UnsortedSegmentSum | ✅ | ✅ | ✅ | | | | | | | | | | |
| Unsqueeze | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | ✅ | |
| Unstack | ✅ | ✅ | ✅ | | | | | | | | | | |
| Where | ✅ | ✅ | ✅ | | | ✅ | | | | | | | |
| ZerosLike | ✅ | ✅ | ✅ | | | | | | | | | | |
MindSpore Lite转换工具支持第三方框架的算子列表：
| 操作名
| 支持的TensorFlow Lite算子 | 支持的Caffe算子 | 支持的Onnx算子 | 支持的TensorFlow算子 |
| ------------------------------------ | ------------------------------------------------------------ | ------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
| Abs | Abs | | Abs | Abs |
| Activation | Activation, ReLU, ReLU6, PReLU,
LeakyReLU, Tanh, HardSwish, Logistic | ReLU, ReLU6, Sigmoid, TanH, Elu | Relu, LeakyRelu, PRelu, Elu, Tanh, Sigmoid, HardSigmoid, Softplus,Gelu | Activation, Elu, Relu, Relu6, Sigmoid, Tanh, Selu, LeakyRelu, Softplus |
| Adam | Adam | | | Adam |
| AddFusion | Add | | Add, Int8Add | Add, AddV2 |
| AdderFusion | | | adder_f | |
| AddN | AddN | | | |
| All | All | | | All |
| ApplyMomentum | ApplyMomentum | | | ApplyMomentum |
| Assert | | | | Assert |
| Assign | Assign | | | Assign |
| ArgmaxFusion | Argmax | ArgMax | ArgMax | ArgMax |
| ArgminFusion | Argmin | | ArgMin | ArgMin |
| AvgPoolFusion | MeanPooling | Pooling | AveragePool,
GlobalAveragePool,
Int8AveragePool | AvgPool |
| BatchNorm | | BatchNorm | BatchNormalization | |
| BatchToSpace | BatchToSpace | | | BatchToSpace |
| BatchToSpaceND | BatchToSpaceND | | | BatchToSpaceND |
| BiasAdd | | | BiasAdd | BiasAdd |
| BinaryCrossEntropy | BinaryCrossEntropy | | | BinaryCrossEntropy |
| BroadcastTo | BroadcastTo | | Expand | BroadcastTo |
| Cast | Cast,
QUANTIZE,
DEQUANTIZE | | Cast | Cast |
| Ceil | Ceil | | Ceil | Ceil |
| Clip | Clip | | Clip | Clip |
| Concat | Concat | Concat | Concat | ConcatV2 |
| ConstantOfShape | | | ConstantOfShape | |
| Conv2DFusion | Conv2D | Convolution | Conv, Int8Conv,
ConvRelu,
Int8ConvRelu | Conv2D |
| Conv2dTransposeFusion | DeConv2D | Deconvolution | ConvTranspose | Conv2DBackpropInput |
| Cos | Cos | | Cos | Cos |
| Crop | | Crop | | |
| CropAndResize | | | | CropAndResize |
| CumSum | | | CumSum | Cumsum |
| CustomExtractFeatures | ExtractFeatures | | | |
| CustomNormalize | Normalize | | | |
| CustomPredict | Predict | | | |
| DepthToSpace | DepthToSpace | | DepthToSpace | DepthToSpace |
| DetectionPostProcess | Custom | | | |
| DivFusion | Div, RealDiv | | Div | Div, RealDiv |
| Dropout | Dropout | | Dropout | Dropout |
| DynamicQuant | | | DynamicQuantizeLinear | |
| Eltwise | | Eltwise | Sum, Max[3] | |
| Elu | | ELU | Elu,
NonMaxSuppression | NonMaxSuppressionV3 |
| Equal | Equal | | Equal | Equal |
| Erf | Erf | | Erf | Erf |
| ExpFusion | Exp | Exp | Exp | Exp |
| ExpandDims | ExpandDims | | | ExpandDims |
| Fill | Fill | | | Fill |
| Flatten | | Flatten | | |
| Floor | flOOR | | Floor | Floor |
| FloorDiv | FloorDiv | | | FloorDiv |
| FloorMod | FloorMod | | | FloorMod |
| FullConnection | FullyConnected | InnerProduct | | |
| FusedBatchNorm | FusedBatchNorm | | | FusedBatchNorm,
FusedBatchNormV3 |
| GatherNd | GatherND | | GatherND | GatherNd |
| Gather | Gather | | Gather | GatherV2 |
| Greater | Greater | | Greater | Greater |
| GreaterEqual | GreaterEqual | | GreaterOrEqual | GreaterEqual |
| HashtableLookup | HashtableLookup | | | |
| InstanceNorm | InstanceNorm | | InstanceNormalization | |
| InvertPermutation | | | | InvertPermutation |
| IsFinite | IsFinite | | | IsFinite |
| LeakyReLU | LeakyRelu | | LeakyRelu | LeakyRelu |
| Less | Less | | Less | Less |
| LessEqual | LessEqual | | | LessEqual |
| LRN | LocalResponseNorm | | Lrn, LRN | |
| Log | Log | | Log | Log |
| Log1p | Log1p | | | Log1p |
| LogicalAnd | LogicalAnd | | And | LogicalAnd |
| LogicalNot | LogicalNot | | Not | LogicalNot |
| LogicalOr | LogicalOr | | Or | LogicalOr |
| LogSoftmax | LogSoftmax | | LogSoftmax | |
| LshProjection | LshProjection | | | |
| LSTM | | | LSTM | |
| MatMulFusion | BatchMatMul | | MatMul,
Gemm | MatMul,
BatchMatMul,
BatchMatMulV2 |
| Maximum | Maximum | | Max | Maximum |
| MaxPoolFusion | MaxPooling | Pooling | MaxPool,
GlobalMaxPool | MaxPool |
| Merge | | | | Merge |
| Minimum | Minimum | | Min | Minimum |
| MinimumGrad | | | | |
| Mod | Mod | | Mod | Mod |
| MulFusion | Mul | | Mul | Mul |
| MulGrad | | | | |
| Neg | Neg | | Neg | Neg |
| NotEqual | NotEqual | | | NotEqual |
| NonMaxSupppression | NonMaxSupppression | | NonMaxSupppression | NonMaxSupppression |
| NonZero | NonZero | | NonZero | NonZero |
| OneHot | OneHot | | OneHot | OneHot |
| OnesLike | OnesLike | | | OnesLike |
| PadFusion | Pad, MirrorPad, PadV2 | | Pad | MirrorPad, Pad, PadV2 |
| PowFusion | Pow | Power | Pow[2] | Pow |
| PReLUFusion | PRELU | PReLU | PRelu | |
| RaggedRange | | | | RaggedRange |
| RandomNormal | RandomNormal | | RandomNormal | RandomNormal |
| RandomStandardNormal | | | | RandomStandardNormal |
| Range | Range | | Range | Range |
| Rank | Rank | | | Rank |
| Reciprocal | | | Reciprocal | |
| ReduceFusion | Sum, Mean, ReduceMax, ReduceMin, ReduceProd | Reduction | ReduceMean, ReduceMax, ReduceMin, ReduceProd, ReduceSum, ReduceSumSquare, ReduceL2,ReduceL1,ReduceLogSum | Sum, Max, Min, Mean, Prod, All |
| Reshape | Reshape | Reshape | Reshape,
Flatten | Reshape |
| Resize | ResizeBilinear,
NearestNeighbor | Interp | Resize, Upsample | ResizeBilinear,
ResizeBicubic,
ResizeNearestNeighbor |
| ReverseV2 | reverse | | | ReverseV2 |
| ReverseSequence | ReverseSequence | | ReverseSequence | ReverseSequence |
| Round | Round | | Round | Round |
| Rsqrt | Rsqrt | | | Rsqrt |
| Select | | | | Select |
| Selu | | | | Selu |
| ScaleFusion | | Scale | | |
| ScatterNd | ScatterNd | | ScatterND | |
| ScatterNdUpdate | ScatterNdUpdate | | ScatterNdUpdate | |
| SGD | SGD | SGD | | SGD |
| Shape | Shape | | Shape | Shape |
| Sin | Sin | | Sin | Sin |
| Size | | | | Size |
| SliceFusion | Slice | Slice | Slice | Slice |
| SkipGram | SKipGram | | | |
| Softmax | Softmax | Softmax | Softmax | Softmax |
| Softplus | | | | Softplus |
| SpaceToBatch | SpaceToBatch | | | |
| SpaceToBatchND | SpaceToBatchND | | | SpaceToBatchND |
| SpaceToDepth | SpaceToDepth | | SpaceToDepth | |
| SparseToDense | SpareToDense | | | |
| Splice | | | Splice | |
| Split | Split, SplitV | | Split | Split, SplitV |
| Sqrt | Sqrt | | Sqrt | Sqrt |
| Square | Square | | | Square |
| SquaredDifference | SquaredDifference | | | SquaredDifference |
| Squeeze | Squeeze | | Squeeze | Squeeze |
| StridedSlice | StridedSlice | | Slice,
DynamicSlice | StridedSlice |
| Stack | Stack | | | Pack |
| SubFusion | Sub | | Sub | Sub |
| Switch | | | | Switch |
| TensorListFromTensor | | | | TensorListFromTensor |
| TensorListGetItem | | | | TensorListGetItem |
| TensorListReserve | | | | TensorListReserve |
| TensorListSetItem | | | | TensorListSetItem |
| TensorListStack | | | | TensorListStack |
| TensorScatterAdd | TensorScatterAdd | | | TensorScatterAdd |
| TileFusion | Tile | Tile | Tile | Tile |
| TopKFusion | TopKV2 | | TopK | TopKV2 |
| Transpose | Transpose | Permute | Transpose, Int8Transpose | Transpose |
| Unique | Unique | | | |
| UnsortedSegmentSum | | | | UnsortedSegmentSum |
| Unsqueeze | | | Unsqueeze | |
| Unstack | Unstack | | | |
| Where | Where | | NonZero, Where | Where |
| ZerosLike | ZerosLike | | | ZerosLike |
| 转换工具支持的其他算子[4] | | | Constant,
Atan, Asin, Tan,
Loop, Dropout, If, Identity,
Int8GivenIntTensorFill,
Int8GivenTensorFill,
Int8Quantize,
Int8Dequantize,
LpNormalization | Dropout, Enter,
Exit, If,
LinSpace,
LoopCond,
NextIteration,
StatelessIf,
StatelessWhile,
TensorArrayGatherV3,
TensorArrayReadV3,
TensorArrayScatterV3,
TensorArraySizeV3,
TensorArrayV3,
TensorArrayWriteV3,
While |
[1] Clip：仅支持将clip(0, 6)转换为Relu6。
[2] Pow：仅支持指数为单个常数。
[3] Sum与Max：仅支持输入个数为2。
[4] [转换工具](https://www.mindspore.cn/lite/docs/zh-CN/master/converter/converter_tool.html)支持，但不需要具体实现的算子，一般这类算子在转化工具中被优化而消失，如被融合掉或者使用其他算子代替。
[5] 当前支持使用环境变量export KEEP_ORIGIN_DTYPE=1来保持数据类型为int64，当使用int32数据类型存在溢出时可以考虑使用该选项，但是目前仅为实验性选项，后续将移除。
[6] 目前MindSpore导出的MindIR中部分算子不支持，对应的MindSpore接口为ops.matmul、ops.dense、ops.max、ops.min。其中Max以及Min算子只在axis参数为None时不支持，其他场景支持。