# Lite Operator List `Linux` `On Device` `Inference Application` `Beginner` `Intermediate` `Expert` [](https://gitee.com/mindspore/docs/blob/r1.3/docs/lite/docs/source_en/operator_list_lite.md) This article lists the operators supported by MindSpore Lite. | Operation<br/> | CPU<br/>FP16 | CPU<br/>FP32 | CPU<br/>Int8 | CPU<br/>UInt8 | GPU<br/>FP16 | GPU<br/>FP32 | NPU<br/> | TensorRT<br/> | TensorFlow Lite<br/>operators supported | Caffe Lite<br/>operators supported | Onnx Lite<br/>operators supported | TensorFlow<br/>operators supported | |-----------------------|:----------:|:----------:|:----------:|:-----------:|:----------:|:-------------------:|:----------:|:----------:|----------|---------|---------|---------| | Abs | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Abs | | Abs | Abs | | Add | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Add | | Add, Int8Add | Add, AddV2 | | AddGrad | | ✅ | | | | | | | | | | | | AddN | ✅ | ✅ | | | | | | | AddN | | | | | Assert | | ✅ | | | | | | | | | | Assert | | Argmax | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Argmax | ArgMax | ArgMax | Argmax | | Argmin | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | Argmin | | | ArgMin | | AvgPool | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | MeanPooling | Pooling | AveragePool,<br/>GlobalAveragePool,<br/>Int8AveragePool | AvgPool | | AvgPoolGrad | ✅ | ✅ | | | | | | | | | | | | BatchNorm | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | BatchNorm | BatchNormalization | | | BatchNormGrad | ✅ | ✅ | | | | | | | | | | | | BatchToSpace | | ✅ | ✅ | ✅ | ✅ | ✅ | | | BatchToSpace,<br/>BatchToSpaceND | | | BatchToSpace,<br/>BatchToSpaceND | | BiasAdd | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | BiasAdd | BiasAdd | | BiasAddGrad | ✅ | ✅ | | | | | | | | | | | | Broadcast | | ✅ | | | | | | | BroadcastTo | | Expand | | | Cast | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Cast,<br/>QUANTIZE,<br/>DEQUANTIZE | | Cast | Cast | | Ceil | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Ceil | | Ceil | Ceil | | Concat | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Concat | Concat | Concat | ConcatV2 | | ConstantOfShape | | ✅ | | | | | | | | | ConstantOfShape | | | Conv2d | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Conv2D | Convolution | Conv, Int8Conv,<br/>ConvRelu,<br/>Int8ConvRelu | Conv2D | | Conv2dGrad | | ✅ | | | | | | | | | | | | Conv2dTranspose | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | DeConv2D | Deconvolution | ConvTranspose | Conv2DBackpropInput | | Conv2dTransposeGrad | | ✅ | | | | | | | | | | | | Cos | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | |Cos | | Cos | Cos | | Crop | ✅ | ✅ | ✅ | ✅ | | | | | | Crop | | | | CropAndResize | | ✅ | | | | | ✅ | | | | | CropAndResize | | CumSum | | ✅ | | | | | | | | | | Cumsum | | CustomExtractFeatures | | ✅ | | | | | | | ExtractFeatures | | | | | CustomNormalize | | ✅ | | | | | | | Normalize | | | | | CustomPredict | | ✅ | | | | | | | Predict | | | | | DeDepthwiseConv2D | | ✅ | ✅ | ✅ | | | | | | Deconvolution | | | | DepthToSpace | | ✅ | ✅ | ✅ | ✅ | ✅ | | | DepthToSpace | | DepthToSpace | | | DepthwiseConv2dNative | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | DepthwiseConv2D | Convolution | | DepthwiseConv2dNative | | DetectionPostProcess | | ✅ | ✅ | ✅ | | | | | Custom | | | | | Div | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Div, RealDiv | | Div | Div, RealDiv | | DivGrad | | ✅ | | | | | | | | | | | | Eltwise | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Eltwise | Sum, Max<sup>[3]</sup> | | | Elu | | ✅ | | | | | | | | Elu | Elu,<br/>NonMaxSuppression | NonMaxSuppressionV3 | | EluGrad | | ✅ | | | | | | | | | | | | Equal | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Equal | | Equal | Equal | | Exp | | ✅ | | | ✅ | ✅ | | | 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,<br/>FusedBatchNormV3 | | GatherNd | | ✅ | ✅ | ✅ | ✅ | ✅ | | | GatherND | | | GatherNd | | Gather | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Gather | | Gather | GatherV2 | | Greater | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Greater | | Greater | Greater | | GreaterEqual | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | GreaterEqual | | | GreaterEqual | | GRU | ✅ | ✅ | | | | | | | | | | | | HardTanh | ✅ | ✅ | | | | | | | | | | | | HashtableLookup | | ✅ | | | | | | | HashtableLookup | | | | | HSigmoid | | ✅ | | ✅ | | | | | | | | | | Hswish | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | HardSwish | | | | | HswishGrad | | ✅ | | | | | | | | | | | | InstanceNorm | ✅ | ✅ | | | | | | | InstanceNorm | | | | | InvertPermutation | | ✅ | | | | | | | | | | InvertPermutation | | L2Norm | | ✅ | ✅ | | | | | | L2_NORMALIZATION | | | | | LayerNorm | ✅ | ✅ | ✅ | | | | | | | | | | | LeakyReLU | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | LeakyRelu | | LeakyRelu | LeakyRelu | | LeakyReLUGrad | | ✅ | | | | | | | | | | | | Less | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Less | | Less | Less | | LessEqual | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | LessEqual | | | LessEqual | | LRN | | ✅ | | | | | | | LocalResponseNorm | | Lrn, LRN | | | Log | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Log | | Log | Log | | LogGrad | ✅ | ✅ | | | | | | | | | | | | LogicalAnd | ✅ | ✅ | | | ✅ | ✅ | ✅ | | LogicalAnd | | And | LogicalAnd | | LogicalNot | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | LogicalNot | | Not | LogicalNot | | LogicalOr | ✅ | ✅ | | | ✅ | ✅ | ✅ | | LogicalOr | | Or | LogicalOr | | LogSoftmax | ✅ | ✅ | | | ✅ | ✅ | ✅ | | LogSoftmax | | LogSoftmax | | | LshProjection | | ✅ | | | | | | | LshProjection | | | | | LSTM | ✅ | ✅ | | | | | | | | | LSTM | | | MatMul | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | BatchMatMul | | MatMul,<br/>Gemm | MatMul,<br/>BatchMatMul | | MatMulGrad | | ✅ | | | | | | | | | | | | Maximum | ✅ | ✅ | | | ✅ | ✅ | ✅ | | Maximum | | | Maximum | | MaximumGrad | ✅ | ✅ | | | | | | | | | | | | MaxPool | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | MaxPooling | Pooling | MaxPool,<br/>GlobalMaxPool | MaxPool | | MaxPoolGrad | ✅ | ✅ | | | | | | | | | | | | Merge | ✅ | ✅ | | | | | | | | | | Merge | | Minimum | ✅ | ✅ | | | ✅ | ✅ | ✅ | | Minimum | | Min | Minimum | | MinimumGrad | ✅ | ✅ | | | | | | | | | | | | Mul | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Mul | | Mul | Mul | | MulGrad | | ✅ | | | | | | | | | | | | Neg | ✅ | ✅ | | | ✅ | ✅ | ✅ | | Neg | | Neg | | | NegGrad | ✅ | ✅ | | | | | | | | | | | | NotEqual | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | NotEqual | | | NotEqual | | OneHot | | ✅ | | | ✅ | ✅ | | | OneHot | | OneHot | OneHot | | Pad | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Pad, MirrorPad, PadV2 | | Pad | MirrorPad, Pad, PadV2 | | Pow | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | Pow | Power | Pow<sup>[2]</sup> | Pow | | PowGrad | | ✅ | | | | | | | | | | | | PReLU | | ✅ | | | ✅ | ✅ | | | PRELU | PReLU | PRelu | | | RandomStandardNormal | | ✅ | | | | | | | | | | RandomStandardNormal | | RandomUniform | | ✅ | | | | | | | | | | RandomUniform | | Range | | ✅ | | | | | | | Range | | | Range,<br/>RaggedRange | | Rank | | ✅ | | | | | | | Rank | | | Rank | | Reciprocal | ✅ | ✅ | ✅ | | | | ✅ | | | | | | | ReduceAll | | ✅ | | | | | | | | | | All | | ReduceASum | | ✅ | | | ✅ | ✅ | | | | Reduction | | | | ReduceMax | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | | ReduceMax | | ReduceMax | Max | | ReduceMean | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | Mean | Reduction | ReduceMean | Mean | | ReduceMin | | ✅ | ✅ | ✅ | ✅ | ✅ | | | ReduceMin | | ReduceMin | Min | | ReduceProd | | ✅ | ✅ | ✅ | ✅ | ✅ | | | ReduceProd | | ReduceProd | Prod | | ReduceSum | | ✅ | ✅ | ✅ | ✅ | ✅ | | | Sum | Reduction | ReduceSum | Sum | | ReduceSumSquare | | ✅ | ✅ | ✅ | | | | | | Reduction | ReduceSumSquare | | | ReLU | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Relu | ReLU | Relu | Relu | | ReLUGrad | ✅ | ✅ | | | | | | | | | | | | ReLU6 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Relu6 | ReLU6 | Clip<sup>[1]</sup> | Relu6 | | ReLU6Grad | ✅ | ✅ | | | | | | | | | | | | Reshape | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Reshape | Reshape | Reshape,<br/>Flatten | Reshape | | Resize | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ResizeBilinear,<br/>NearestNeighbor | Interp | | ResizeBilinear,<br/>ResizeBicubic,<br/>ResizeNearestNeighbor | | ResizeGrad | ✅ | ✅ | | | | | | | | | | | | Reverse | | ✅ | | | | | | | reverse | | | ReverseV2 | | ReverseSequence | | ✅ | | | | | | | ReverseSequence | | | ReverseSequence | | Round | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Round | | Round | Round | | Rsqrt | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Rsqrt | | | Rsqrt | | Select | | ✅ | | | | | | | | | | Select | | Selu | | | | | | | | | | | | Selu | | Scale | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Scale | | | | ScatterNd | | ✅ | | | | | | | ScatterNd | | | | | Shape | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Shape | | Shape | Shape | | Sigmoid | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Logistic | Sigmoid | Sigmoid | Sigmoid | | SigmoidGrad | ✅ | ✅ | | | | | | | | | | | | Sin | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Sin | | Sin | Sin | | Size | | ✅ | | | | | | | | | | Size | | Slice | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Slice | Slice | Slice | Slice | | SkipGram | | ✅ | | | | | | | SKipGram | | | | | Softmax | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Softmax | Softmax | Softmax | Softmax | | SoftmaxGrad | | ✅ | | | | | | | | | | | | Softplus | | ✅ | | | | | | | | | | Softplus | | SpaceToBatch | | ✅ | ✅ | ✅ | ✅ | ✅ | | | SpaceToBatch | | | | | SpaceToBatchND | | ✅ | ✅ | ✅ | ✅ | ✅ | | | SpaceToBatchND | | | SpaceToBatchND | | SpaceToDepth | | ✅ | | | ✅ | ✅ | | | SpaceToDepth | | SpaceToDepth | | | SparseToDense | | ✅ | | | ✅ | ✅ | | | SpareToDense | | | | | Split | ✅ | ✅ | ✅ | ✅ | | | ✅ | | Split, SplitV | | Split | Split, SplitV | | Sqrt | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Sqrt | | Sqrt | Sqrt | | Square | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | Square | | | Square | | SquaredDifference | ✅ | ✅ | | | ✅ | ✅ | ✅ | | SquaredDifference | | | SquaredDifference | | Squeeze | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | ✅ | Squeeze | | Squeeze | Squeeze | | StridedSlice | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | StridedSlice | | Slice,<br/>DynamicSlice | StridedSlice | | Stack | ✅ | ✅ | | | ✅ | ✅ | | | Stack | | | Pack | | Sub | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | Sub | | Sub | Sub | | SubGrad | | ✅ | | | | | | | | | | | | Swish | ✅ | ✅ | | | | | | | | | | | | Switch | ✅ | ✅ | | | | | | | | | | Switch | | Tanh | ✅ | ✅ | | | ✅ | ✅ | ✅ | ✅ | Tanh | TanH | Tanh, Sign | Tanh | | TanhGrad | | ✅ | | | | | | | | | | | | TensorListFromTensor | ✅ | ✅ | | | | | | | | | | TensorListFromTensor | | TensorListGetItem | ✅ | ✅ | | | | | | | | | | TensorListGetItem | | TensorListReserve | ✅ | ✅ | | | | | | | | | | TensorListReserve | | TensorListSetItem | ✅ | ✅ | | | | | | | | | | TensorListSetItem | | TensorListStack | ✅ | ✅ | | | | | | | | | | TensorListStack | | Tile | ✅ | ✅ | | | | | ✅ | | Tile | Tile | Tile | | Tile | | TopK | | ✅ | ✅ | ✅ | | | | | TopKV2 | | TopK | TopKV2 | | Transpose | ✅ | ✅ | ✅ | | ✅ | ✅ | ✅ | ✅ | Transpose | Permute | Transpose | Transpose | | UniformReal | | ✅ | | | | | | | | | | | | Unique | | ✅ | | | | | | | Unique | | | | | Unsqueeze | ✅ | ✅ | ✅ | ✅ | | | ✅ | ✅ | | | Unsqueeze | | | Unstack | | ✅ | | | | | | | Unstack | | | | | Where | | ✅ | | | | | | | Where | | Where | Where | | ZerosLike | | ✅ | | | | | | | ZerosLike | | | ZerosLike | | Other operators supported by the converter.<sup>[4]</sup> | | | | | | | | | | Loop, Dropout, If | Dropout, Enter,<br/>Exit, If,<br/>IsFinite,<br/>LinSpace,<br/>LoopCond,<br/>NextIteration,<br/>StatelessIf,<br/>StatelessWhile,<br/>While | [1] Clip: Only support converting clip(0, 6) to Relu6. [2] Pow: Only support the form where the exponent is a single constant. [3] Sum and Max: Only support 2 inputs. [4] Operators supported by [converter](https://www.mindspore.cn/lite/docs/en/r1.3/use/converter_tool.html) but do not require specific implementation. Generally, such operators are optimized by the conversion tool, such as being merged or replaced by other operators.