diff --git a/lite/docs/source_en/operator_list.md b/lite/docs/source_en/operator_list.md index 1c7383aad2f3457a31b7c89de4efbfbfce1d2d73..5115a600c91424936673a3c7280b10961290a596 100644 --- a/lite/docs/source_en/operator_list.md +++ b/lite/docs/source_en/operator_list.md @@ -4,121 +4,108 @@ > √ The checked items are the operators supported by MindSpore Lite。 -| Operation | CPU<br/>FP16 | CPU<br/>FP32 | CPU<br/>Int8 | CPU<br/>UInt8 | GPU<br/>FP16 | GPU<br/>FP32 | Operator category | Tensorflow <br/>Lite op supported | Caffe <br/>Lite op supported | Onnx <br/>Lite op supported | -|-----------------------|----------|----------|----------|-----------|----------|----------|------------------|----------|----------|----------| -| Abs | | √ | √ | √ | | | math_ops | Abs | | Abs | -| Add | | | | | | √ | | Add | | Add | -| AddN | | √ | | | | | math_ops | AddN | | | -| Argmax | | √ | √ | √ | | | array_ops | Argmax | ArgMax | ArgMax | -| Argmin | | √ | | | | | array_ops | Argmin | | | -| Asin | | | | | | | | | | Asin | -| Atan | | | | | | | | | | Atan | -| AvgPool | | √ | √ | √ | | √ | nn_ops | MeanPooling | Pooling | AveragePool | -| BatchMatMul | √ | √ | √ | √ | | | math_ops | | | | -| BatchNorm | | √ | | | | √ | nn_ops | | BatchNorm | BatchNormalization | -| BatchToSpace | | | | | | | array_ops | BatchToSpace, BatchToSpaceND | | | -| BatchToSpaceND | | | | | | | | | | | -| BiasAdd | | √ | | √ | | √ | nn_ops | | | BiasAdd | -| Broadcast | | √ | | | | | comm_ops | BroadcastTo | | Expand | -| Cast | | √ | | | | | array_ops | Cast, DEQUANTIZE* | | Cast | -| Ceil | | √ | | √ | | | math_ops | Ceil | | Ceil | -| Concat | | √ | √ | √ | | √ | array_ops | Concat | Concat | Concat | -| Constant | | | | | | | | | | Constant | -| Conv1dTranspose | | | | √ | | | layer/conv | | | | -| Conv2d | √ | √ | √ | √ | | √ | layer/conv | Conv2D | Convolution | Conv | -| Conv2dTranspose | | √ | √ | √ | | √ | layer/conv | DeConv2D | Deconvolution | ConvTranspose | -| Cos | | √ | √ | √ | | | math_ops | Cos | | Cos | -| Crop | | | | | | | | | Crop | | -| DeDepthwiseConv2D | | | | | | | | | Deconvolution| ConvTranspose | -| DepthToSpace | | | | | | | | DepthToSpace | | DepthToSpace | -| DepthwiseConv2dNative | √ | √ | √ | √ | | √ | nn_ops | DepthwiseConv2D | Convolution | Convolution | -| Div | | √ | √ | √ | | √ | math_ops | Div | | Div | -| Dropout | | | | | | | | | | Dropout | -| Eltwise | | | | | | | | | Eltwise | | -| Elu | | | | | | | | Elu | | Elu | -| Equal | | √ | √ | √ | | | math_ops | Equal | | Equal | -| Exp | | √ | | | | | math_ops | Exp | | Exp | -| ExpandDims | | √ | | | | | array_ops | | | | -| Fill | | √ | | | | | array_ops | Fill | | | -| Flatten | | | | | | | | | Flatten | | -| Floor | | √ | √ | √ | | | math_ops | flOOR | | Floor | -| FloorDiv | | √ | | | | | math_ops | FloorDiv | | | -| FloorMod | | √ | | | | | nn_ops | FloorMod | | | -| FullConnection | | √ | | | | | layer/basic | FullyConnected | InnerProduct | | -| GatherNd | | √ | | | | | array_ops | GatherND | | | -| GatherV2 | | √ | | | | | array_ops | Gather | | Gather | -| Greater | | √ | √ | √ | | | math_ops | Greater | | Greater | -| GreaterEqual | | √ | √ | √ | | | math_ops | GreaterEqual | | | -| Hswish | | | | | | | | HardSwish | | | -| L2norm | | | | | | | | L2_NORMALIZATION | | | -| LeakyReLU | | √ | | | | √ | layer/activation | LeakyRelu | | LeakyRelu | -| Less | | √ | √ | √ | | | math_ops | Less | | Less | -| LessEqual | | √ | √ | √ | | | math_ops | LessEqual | | | -| LocalResponseNorm | | | | | | | | LocalResponseNorm | | Lrn | -| Log | | √ | √ | √ | | | math_ops | Log | | Log | -| LogicalAnd | | √ | | | | | math_ops | LogicalAnd | | | -| LogicalNot | | √ | √ | √ | | | math_ops | LogicalNot | | | -| LogicalOr | | √ | | | | | math_ops | LogicalOr | | | -| LSTM | | √ | | | | | layer/lstm | | | | -| MatMul | √ | √ | √ | √ | | √ | math_ops | | | MatMul | -| Maximum | | | | | | | math_ops | Maximum | | Max | -| MaxPool | | √ | √ | √ | | √ | nn_ops | MaxPooling | Pooling | MaxPool | -| Minimum | | | | | | | math_ops | Minimum | | Min | -| Mul | | √ | √ | √ | | √ | math_ops | Mul | | Mul | -| Neg | | | | | | | math_ops | | | Neg | -| NotEqual | | √ | √ | √ | | | math_ops | NotEqual | | | -| OneHot | | √ | | | | | layer/basic | OneHot | | | -| Pack | | √ | | | | | nn_ops | | | | -| Pad | | √ | √ | √ | | | nn_ops | Pad | | Pad | -| Pow | | √ | √ | √ | | | math_ops | Pow | Power | Power | -| PReLU | | √ | √ | √ | | √ | layer/activation | Prelu | PReLU | PRelu | -| Range | | √ | | | | | layer/basic | Range | | | -| Rank | | √ | | | | | array_ops | Rank | | | -| RealDiv | | √ | √ | √ | | √ | math_ops | RealDiv | | | -| ReduceMax | | √ | √ | √ | | | math_ops | ReduceMax | | ReduceMax | -| ReduceMean | | √ | √ | √ | | | math_ops | Mean | | ReduceMean | -| ReduceMin | | √ | √ | √ | | | math_ops | ReduceMin | | ReduceMin | -| ReduceProd | | √ | √ | √ | | | math_ops | ReduceProd | | | -| ReduceSum | | √ | √ | √ | | | math_ops | Sum | | ReduceSum | -| ReLU | | √ | √ | √ | | √ | layer/activation | Relu | ReLU | Relu | -| ReLU6 | | √ | | | | √ | layer/activation | Relu6 | ReLU6 | Clip* | -| Reshape | | √ | √ | √ | | √ | array_ops | Reshape | Reshape | Reshape,Flatten | -| Resize | | | | | | | | ResizeBilinear, NearestNeighbor | Interp | | -| Reverse | | | | | | | | reverse | | | -| ReverseSequence | | √ | | | | | array_ops | ReverseSequence | | | -| Round | | √ | | √ | | | math_ops | Round | | | -| Rsqrt | | √ | √ | √ | | | math_ops | Rsqrt | | | -| Scale | | | | | | | | | Scale | | -| ScatterNd | | √ | | | | | array_ops | ScatterNd | | | -| Shape | | √ | | √ | | | array_ops | Shape | | Shape | -| Sigmoid | | √ | √ | √ | | √ | nn_ops | Logistic | Sigmoid | Sigmoid | -| Sin | | | | | | | | Sin | | Sin | -| Slice | | √ | √ | √ | | √ | array_ops | Slice | | Slice | -| Softmax | | √ | √ | √ | | √ | layer/activation | Softmax | Softmax | Softmax | -| SpaceToBatchND | | √ | | | | | array_ops | SpaceToBatchND | | | -| SpareToDense | | | | | | | | SpareToDense | | | -| SpaceToDepth | | √ | | | | | array_ops | SpaceToDepth | | SpaceToDepth | -| Split | | √ | √ | √ | | | array_ops | Split, SplitV | | | -| Sqrt | | √ | √ | √ | | | math_ops | Sqrt | | Sqrt | -| Square | | √ | √ | √ | | | math_ops | Square | | | -| SquaredDifference | | | | | | | | SquaredDifference | | | -| Squeeze | | √ | √ | √ | | | array_ops | Squeeze | | Squeeze | -| StridedSlice | | √ | √ | √ | | | array_ops | StridedSlice | | | -| Stack | | | | | | | | Stack | | | -| Sub | | √ | √ | √ | | √ | math_ops | Sub | | Sub | -| Tan | | | | | | | | | | Tan | -| Tanh | | √ | | | | | layer/activation | Tanh | TanH | | -| TensorAdd | | √ | √ | √ | | √ | math_ops | | | | -| Tile | | √ | | | | | array_ops | Tile | | Tile | -| TopK | | √ | √ | √ | | | nn_ops | TopKV2 | | | -| Transpose | | √ | √ | √ | | √ | array_ops | Transpose | Permute | Transpose | -| Unique | | | | | | | | Unique | | | -| Unpack | | √ | | | | | nn_ops | | | | -| Unsample | | | | | | | | | | Unsample | -| Unsqueeze | | | | | | | | | | Unsqueeze | -| Unstack | | | | | | | | Unstack | | | -| Where | | | | | | | | Where | | | -| ZerosLike | | √ | | | | | array_ops | ZerosLike | | | +| Operation | CPU<br/>FP16 | CPU<br/>FP32 | CPU<br/>Int8 | CPU<br/>UInt8 | GPU<br/>FP16 | GPU<br/>FP32 | Tensorflow <br/>Lite op supported | Caffe <br/>Lite op supported | Onnx <br/>Lite op supported | +|-----------------------|----------|----------|-----------|----------|----------|------------------|----------|----------|----------| +| Abs | | √ | √ | √ | | | Abs | | Abs | +| Add | √ | √ | √ | √ | | √ | Add | | Add | +| AddN | | √ | | | | | AddN | | | +| Argmax | | √ | √ | √ | | | Argmax | ArgMax | ArgMax | +| Argmin | | √ | √ | √ | | | Argmin | | | +| AvgPool | √ | √ | √ | √ | | √ | MeanPooling| Pooling | AveragePool | +| BatchNorm | √ | √ | √ | √ | | √ | | BatchNorm | BatchNormalization | +| BatchToSpace | | √ | √ | √ | | | BatchToSpace, BatchToSpaceND | | | +| BiasAdd | | √ | √ | √ | | √ | | | BiasAdd | +| Broadcast | | √ | | | | | BroadcastTo | | Expand | +| Cast | √ | √ | | √ | | | Cast, DEQUANTIZE* | | Cast | +| Ceil | | √ | √ | √ | | | Ceil | | Ceil | +| Concat | √ | √ | √ | √ | | √ | Concat | Concat | Concat | +| Conv2d | √ | √ | √ | √ | | √ | Conv2D | Convolution | Conv | +| Conv2dTranspose | √ | √ | √ | √ | | √ | DeConv2D | Deconvolution | ConvTranspose | +| Cos | | √ | √ | √ | | | Cos | | Cos | +| Crop | | √ | √ | √ | | | | Crop | | +| DeDepthwiseConv2D | | √ | √ | √ | | | | Deconvolution| ConvTranspose | +| DepthToSpace | | √ | √ | √ | | | DepthToSpace| | DepthToSpace | +| DepthwiseConv2dNative | √ | √ | √ | √ | | √ | DepthwiseConv2D | Convolution | Convolution | +| Div | √ | √ | √ | √ | | √ | Div, RealDiv | | Div | +| Eltwise | √ | √ | | | | | | Eltwise | | +| Elu | | √ | | | | | Elu | | Elu | +| Equal | √ | √ | √ | √ | | | Equal | | Equal | +| Exp | | √ | | | | | Exp | | Exp | +| ExpandDims | | √ | | | | | | | | +| Fill | | √ | | | | | Fill | | | +| Flatten | | √ | | | | | | Flatten | | +| Floor | | √ | √ | √ | | | flOOR | | Floor | +| FloorDiv | √ | √ | | | | | FloorDiv | | | +| FloorMod | √ | √ | | | | | FloorMod | | | +| FullConnection | | √ | √ | √ | | | FullyConnected | InnerProduct | | +| GatherNd | | √ | √ | √ | | | GatherND | | | +| GatherV2 | | √ | √ | √ | | | Gather | | Gather | +| Greater | √ | √ | √ | √ | | | Greater | | Greater | +| GreaterEqual | √ | √ | √ | √ | | | GreaterEqual| | | +| Hswish | √ | √ | √ | √ | | | HardSwish | | | +| LeakyReLU | √ | √ | | | | √ | LeakyRelu | | LeakyRelu | +| Less | √ | √ | √ | √ | | | Less | | Less | +| LessEqual | √ | √ | √ | √ | | | LessEqual | | | +| LRN | | √ | | | | | LocalResponseNorm | | Lrn | +| Log | | √ | √ | √ | | | Log | | Log | +| LogicalAnd | √ | √ | | | | | LogicalAnd | | | +| LogicalNot | | √ | √ | √ | | | LogicalNot | | | +| LogicalOr | √ | √ | | | | | LogicalOr | | | +| LSTM | | √ | | | | | | | | +| MatMul | | √ | √ | √ | | √ | | | MatMul | +| Maximum | √ | √ | | | | | Maximum | | Max | +| MaxPool | √ | √ | √ | √ | | √ | MaxPooling | Pooling | MaxPool | +| Minimum | √ | √ | | | | | Minimum | | Min | +| Mul | √ | √ | √ | √ | | √ | Mul | | Mul | +| NotEqual | √ | √ | √ | √ | | | NotEqual | | | +| OneHot | | √ | | | | | OneHot | | | +| Pad | | √ | √ | √ | | | Pad | | Pad | +| Pow | | √ | √ | √ | | | Pow | Power | Power | +| PReLU | | √ | | | | √ | Prelu | PReLU | PRelu | +| Range | | √ | | | | | Range | | | +| Rank | | √ | | | | | Rank | | | +| ReduceMax | √ | √ | √ | √ | | | ReduceMax | | ReduceMax | +| ReduceMean | √ | √ | √ | √ | | | Mean | | ReduceMean | +| ReduceMin | √ | √ | √ | √ | | | ReduceMin | | ReduceMin | +| ReduceProd | √ | √ | √ | √ | | | ReduceProd | | | +| ReduceSum | √ | √ | √ | √ | | | Sum | | ReduceSum | +| ReduceSumSquare | √ | √ | √ | √ | | | | | | +| ReLU | √ | √ | √ | √ | | √ | Relu | ReLU | Relu | +| ReLU6 | √ | √ | √ | √ | | √ | Relu6 | ReLU6 | Clip* | +| Reshape | √ | √ | √ | √ | | √ | Reshape | Reshape | Reshape,Flatten | +| Resize | | √ | √ | √ | | | ResizeBilinear, NearestNeighbor | Interp | | +| Reverse | | √ | | | | | reverse | | | +| ReverseSequence | | √ | | | | | ReverseSequence | | | +| Round | | √ | √ | √ | | | Round | | | +| Rsqrt | | √ | √ | √ | | | Rsqrt | | | +| Scale | | √ | | | | | | Scale | | +| ScatterNd | | √ | | | | | ScatterNd | | | +| Shape | | √ | | | | | Shape | | Shape | +| Sigmoid | √ | √ | √ | √ | | √ | Logistic | Sigmoid | Sigmoid | +| Sin | | √ | √ | √ | | | Sin | | Sin | +| Slice | | √ | √ | √ | | √ | Slice | | Slice | +| Softmax | √ | √ | √ | √ | | √ | Softmax | Softmax | Softmax | +| SpaceToBatch | | √ | | | | | | | | +| SpaceToBatchND | | √ | | | | | SpaceToBatchND | | | +| SpaceToDepth | | √ | | | | | SpaceToDepth | | SpaceToDepth | +| SparseToDense | | √ | | | | | SpareToDense | | | +| Split | √ | √ | √ | √ | | | Split, SplitV | | | +| Sqrt | | √ | √ | √ | | | Sqrt | | Sqrt | +| Square | | √ | √ | √ | | | Square | | | +| SquaredDifference | | √ | | | | | SquaredDifference | | | +| Squeeze | | √ | √ | √ | | | Squeeze | | Squeeze | +| StridedSlice | | √ | √ | √ | | | StridedSlice| | | +| Stack | | √ | | | | | Stack | | | +| Sub | √ | √ | √ | √ | | √ | Sub | | Sub | +| Tanh | √ | √ | | | | | Tanh | TanH | | +| Tile | | √ | | | | | Tile | | Tile | +| TopK | | √ | √ | √ | | | TopKV2 | | | +| Transpose | √ | √ | | | | √ | Transpose | Permute | Transpose | +| Unique | | √ | | | | | Unique | | | +| Unsqueeze | | √ | √ | √ | | | | | Unsqueeze | +| Unstack | | √ | | | | | Unstack | | | +| Where | | √ | | | | | Where | | | +| ZerosLike | | √ | | | | | ZerosLike | | | * Clip: only support convert clip(0, 6) to Relu6. * DEQUANTIZE: only support to convert fp16 to fp32. diff --git a/lite/docs/source_zh_cn/operator_list.md b/lite/docs/source_zh_cn/operator_list.md index 0864989bc46b9182b5b90bb624021a1e756f0647..a4c19937a56c39adc14fa7bc3442a2a7cf924ef8 100644 --- a/lite/docs/source_zh_cn/operator_list.md +++ b/lite/docs/source_zh_cn/operator_list.md @@ -4,121 +4,108 @@ > √勾选的项为MindSpore Lite所支æŒçš„ç®—å。 -| æ“作å | CPU<br/>FP16 | CPU<br/>FP32 | CPU<br/>Int8 | CPU<br/>UInt8 | GPU<br/>FP16 | GPU<br/>FP32 | ç®—å类别 | 支æŒçš„Tensorflow<br/>Lite op | 支æŒçš„Caffe<br/>Lite op | 支æŒçš„Onnx<br/>Lite op | -|-----------------------|----------|----------|----------|-----------|----------|----------|------------------|----------|----------|----------| -| Abs | | √ | √ | √ | | | math_ops | Abs | | Abs | -| Add | | | | | | √ | | Add | | Add | -| AddN | | √ | | | | | math_ops | AddN | | | -| Argmax | | √ | √ | √ | | | array_ops | Argmax | ArgMax | ArgMax | -| Argmin | | √ | | | | | array_ops | Argmin | | | -| Asin | | | | | | | | | | Asin | -| Atan | | | | | | | | | | Atan | -| AvgPool | | √ | √ | √ | | √ | nn_ops | MeanPooling | Pooling | AveragePool | -| BatchMatMul | √ | √ | √ | √ | | | math_ops | | | | -| BatchNorm | | √ | | | | √ | nn_ops | | BatchNorm | BatchNormalization | -| BatchToSpace | | | | | | | array_ops | BatchToSpace, BatchToSpaceND | | | -| BatchToSpaceND | | | | | | | | | | | -| BiasAdd | | √ | | √ | | √ | nn_ops | | | BiasAdd | -| Broadcast | | √ | | | | | comm_ops | BroadcastTo | | Expand | -| Cast | | √ | | | | | array_ops | Cast, DEQUANTIZE* | | Cast | -| Ceil | | √ | | √ | | | math_ops | Ceil | | Ceil | -| Concat | | √ | √ | √ | | √ | array_ops | Concat | Concat | Concat | -| Constant | | | | | | | | | | Constant | -| Conv1dTranspose | | | | √ | | | layer/conv | | | | -| Conv2d | √ | √ | √ | √ | | √ | layer/conv | Conv2D | Convolution | Conv | -| Conv2dTranspose | | √ | √ | √ | | √ | layer/conv | DeConv2D | Deconvolution | ConvTranspose | -| Cos | | √ | √ | √ | | | math_ops | Cos | | Cos | -| Crop | | | | | | | | | Crop | | -| DeDepthwiseConv2D | | | | | | | | | Deconvolution| ConvTranspose | -| DepthToSpace | | | | | | | | DepthToSpace | | DepthToSpace | -| DepthwiseConv2dNative | √ | √ | √ | √ | | √ | nn_ops | DepthwiseConv2D | Convolution | Convolution | -| Div | | √ | √ | √ | | √ | math_ops | Div | | Div | -| Dropout | | | | | | | | | | Dropout | -| Eltwise | | | | | | | | | Eltwise | | -| Elu | | | | | | | | Elu | | Elu | -| Equal | | √ | √ | √ | | | math_ops | Equal | | Equal | -| Exp | | √ | | | | | math_ops | Exp | | Exp | -| ExpandDims | | √ | | | | | array_ops | | | | -| Fill | | √ | | | | | array_ops | Fill | | | -| Flatten | | | | | | | | | Flatten | | -| Floor | | √ | √ | √ | | | math_ops | flOOR | | Floor | -| FloorDiv | | √ | | | | | math_ops | FloorDiv | | | -| FloorMod | | √ | | | | | nn_ops | FloorMod | | | -| FullConnection | | √ | | | | | layer/basic | FullyConnected | InnerProduct | | -| GatherNd | | √ | | | | | array_ops | GatherND | | | -| GatherV2 | | √ | | | | | array_ops | Gather | | Gather | -| Greater | | √ | √ | √ | | | math_ops | Greater | | Greater | -| GreaterEqual | | √ | √ | √ | | | math_ops | GreaterEqual | | | -| Hswish | | | | | | | | HardSwish | | | -| L2norm | | | | | | | | L2_NORMALIZATION | | | -| LeakyReLU | | √ | | | | √ | layer/activation | LeakyRelu | | LeakyRelu | -| Less | | √ | √ | √ | | | math_ops | Less | | Less | -| LessEqual | | √ | √ | √ | | | math_ops | LessEqual | | | -| LocalResponseNorm | | | | | | | | LocalResponseNorm | | Lrn | -| Log | | √ | √ | √ | | | math_ops | Log | | Log | -| LogicalAnd | | √ | | | | | math_ops | LogicalAnd | | | -| LogicalNot | | √ | √ | √ | | | math_ops | LogicalNot | | | -| LogicalOr | | √ | | | | | math_ops | LogicalOr | | | -| LSTM | | √ | | | | | layer/lstm | | | | -| MatMul | √ | √ | √ | √ | | √ | math_ops | | | MatMul | -| Maximum | | | | | | | math_ops | Maximum | | Max | -| MaxPool | | √ | √ | √ | | √ | nn_ops | MaxPooling | Pooling | MaxPool | -| Minimum | | | | | | | math_ops | Minimum | | Min | -| Mul | | √ | √ | √ | | √ | math_ops | Mul | | Mul | -| Neg | | | | | | | math_ops | | | Neg | -| NotEqual | | √ | √ | √ | | | math_ops | NotEqual | | | -| OneHot | | √ | | | | | layer/basic | OneHot | | | -| Pack | | √ | | | | | nn_ops | | | | -| Pad | | √ | √ | √ | | | nn_ops | Pad | | Pad | -| Pow | | √ | √ | √ | | | math_ops | Pow | Power | Power | -| PReLU | | √ | √ | √ | | √ | layer/activation | Prelu | PReLU | PRelu | -| Range | | √ | | | | | layer/basic | Range | | | -| Rank | | √ | | | | | array_ops | Rank | | | -| RealDiv | | √ | √ | √ | | √ | math_ops | RealDiv | | | -| ReduceMax | | √ | √ | √ | | | math_ops | ReduceMax | | ReduceMax | -| ReduceMean | | √ | √ | √ | | | math_ops | Mean | | ReduceMean | -| ReduceMin | | √ | √ | √ | | | math_ops | ReduceMin | | ReduceMin | -| ReduceProd | | √ | √ | √ | | | math_ops | ReduceProd | | | -| ReduceSum | | √ | √ | √ | | | math_ops | Sum | | ReduceSum | -| ReLU | | √ | √ | √ | | √ | layer/activation | Relu | ReLU | Relu | -| ReLU6 | | √ | | | | √ | layer/activation | Relu6 | ReLU6 | Clip* | -| Reshape | | √ | √ | √ | | √ | array_ops | Reshape | Reshape | Reshape,Flatten | -| Resize | | | | | | | | ResizeBilinear, NearestNeighbor | Interp | | -| Reverse | | | | | | | | reverse | | | -| ReverseSequence | | √ | | | | | array_ops | ReverseSequence | | | -| Round | | √ | | √ | | | math_ops | Round | | | -| Rsqrt | | √ | √ | √ | | | math_ops | Rsqrt | | | -| Scale | | | | | | | | | Scale | | -| ScatterNd | | √ | | | | | array_ops | ScatterNd | | | -| Shape | | √ | | √ | | | array_ops | Shape | | Shape | -| Sigmoid | | √ | √ | √ | | √ | nn_ops | Logistic | Sigmoid | Sigmoid | -| Sin | | | | | | | | Sin | | Sin | -| Slice | | √ | √ | √ | | √ | array_ops | Slice | | Slice | -| Softmax | | √ | √ | √ | | √ | layer/activation | Softmax | Softmax | Softmax | -| SpaceToBatchND | | √ | | | | | array_ops | SpaceToBatchND | | | -| SpareToDense | | | | | | | | SpareToDense | | | -| SpaceToDepth | | √ | | | | | array_ops | SpaceToDepth | | SpaceToDepth | -| Split | | √ | √ | √ | | | array_ops | Split, SplitV | | | -| Sqrt | | √ | √ | √ | | | math_ops | Sqrt | | Sqrt | -| Square | | √ | √ | √ | | | math_ops | Square | | | -| SquaredDifference | | | | | | | | SquaredDifference | | | -| Squeeze | | √ | √ | √ | | | array_ops | Squeeze | | Squeeze | -| StridedSlice | | √ | √ | √ | | | array_ops | StridedSlice | | | -| Stack | | | | | | | | Stack | | | -| Sub | | √ | √ | √ | | √ | math_ops | Sub | | Sub | -| Tan | | | | | | | | | | Tan | -| Tanh | | √ | | | | | layer/activation | Tanh | TanH | | -| TensorAdd | | √ | √ | √ | | √ | math_ops | | | | -| Tile | | √ | | | | | array_ops | Tile | | Tile | -| TopK | | √ | √ | √ | | | nn_ops | TopKV2 | | | -| Transpose | | √ | √ | √ | | √ | array_ops | Transpose | Permute | Transpose | -| Unique | | | | | | | | Unique | | | -| Unpack | | √ | | | | | nn_ops | | | | -| Unsample | | | | | | | | | | Unsample | -| Unsqueeze | | | | | | | | | | Unsqueeze | -| Unstack | | | | | | | | Unstack | | | -| Where | | | | | | | | Where | | | -| ZerosLike | | √ | | | | | array_ops | ZerosLike | | | +| æ“作å | CPU<br/>FP16 | CPU<br/>FP32 | CPU<br/>Int8 | CPU<br/>UInt8 | GPU<br/>FP16 | GPU<br/>FP32 | 支æŒçš„Tensorflow<br/>Lite op | 支æŒçš„Caffe<br/>Lite op | 支æŒçš„Onnx<br/>Lite op | +|-----------------------|----------|----------|----------|-----------|----------|-------------------|----------|----------|---------| +| Abs | | √ | √ | √ | | | Abs | | Abs | +| Add | √ | √ | √ | √ | | √ | Add | | Add | +| AddN | | √ | | | | | AddN | | | +| Argmax | | √ | √ | √ | | | Argmax | ArgMax | ArgMax | +| Argmin | | √ | √ | √ | | | Argmin | | | +| AvgPool | √ | √ | √ | √ | | √ | MeanPooling| Pooling | AveragePool | +| BatchNorm | √ | √ | √ | √ | | √ | | BatchNorm | BatchNormalization | +| BatchToSpace | | √ | √ | √ | | | BatchToSpace, BatchToSpaceND | | | +| BiasAdd | | √ | √ | √ | | √ | | | BiasAdd | +| Broadcast | | √ | | | | | BroadcastTo | | Expand | +| Cast | √ | √ | | √ | | | Cast, DEQUANTIZE* | | Cast | +| Ceil | | √ | √ | √ | | | Ceil | | Ceil | +| Concat | √ | √ | √ | √ | | √ | Concat | Concat | Concat | +| Conv2d | √ | √ | √ | √ | | √ | Conv2D | Convolution | Conv | +| Conv2dTranspose | √ | √ | √ | √ | | √ | DeConv2D | Deconvolution | ConvTranspose | +| Cos | | √ | √ | √ | | | Cos | | Cos | +| Crop | | √ | √ | √ | | | | Crop | | +| DeDepthwiseConv2D | | √ | √ | √ | | | | Deconvolution| ConvTranspose | +| DepthToSpace | | √ | √ | √ | | | DepthToSpace| | DepthToSpace | +| DepthwiseConv2dNative | √ | √ | √ | √ | | √ | DepthwiseConv2D | Convolution | Convolution | +| Div | √ | √ | √ | √ | | √ | Div, RealDiv | | Div | +| Eltwise | √ | √ | | | | | | Eltwise | | +| Elu | | √ | | | | | Elu | | Elu | +| Equal | √ | √ | √ | √ | | | Equal | | Equal | +| Exp | | √ | | | | | Exp | | Exp | +| ExpandDims | | √ | | | | | | | | +| Fill | | √ | | | | | Fill | | | +| Flatten | | √ | | | | | | Flatten | | +| Floor | | √ | √ | √ | | | flOOR | | Floor | +| FloorDiv | √ | √ | | | | | FloorDiv | | | +| FloorMod | √ | √ | | | | | FloorMod | | | +| FullConnection | | √ | √ | √ | | | FullyConnected | InnerProduct | | +| GatherNd | | √ | √ | √ | | | GatherND | | | +| GatherV2 | | √ | √ | √ | | | Gather | | Gather | +| Greater | √ | √ | √ | √ | | | Greater | | Greater | +| GreaterEqual | √ | √ | √ | √ | | | GreaterEqual| | | +| Hswish | √ | √ | √ | √ | | | HardSwish | | | +| LeakyReLU | √ | √ | | | | √ | LeakyRelu | | LeakyRelu | +| Less | √ | √ | √ | √ | | | Less | | Less | +| LessEqual | √ | √ | √ | √ | | | LessEqual | | | +| LRN | | √ | | | | | LocalResponseNorm | | Lrn | +| Log | | √ | √ | √ | | | Log | | Log | +| LogicalAnd | √ | √ | | | | | LogicalAnd | | | +| LogicalNot | | √ | √ | √ | | | LogicalNot | | | +| LogicalOr | √ | √ | | | | | LogicalOr | | | +| LSTM | | √ | | | | | | | | +| MatMul | | √ | √ | √ | | √ | | | MatMul | +| Maximum | √ | √ | | | | | Maximum | | Max | +| MaxPool | √ | √ | √ | √ | | √ | MaxPooling | Pooling | MaxPool | +| Minimum | √ | √ | | | | | Minimum | | Min | +| Mul | √ | √ | √ | √ | | √ | Mul | | Mul | +| NotEqual | √ | √ | √ | √ | | | NotEqual | | | +| OneHot | | √ | | | | | OneHot | | | +| Pad | | √ | √ | √ | | | Pad | | Pad | +| Pow | | √ | √ | √ | | | Pow | Power | Power | +| PReLU | | √ | | | | √ | Prelu | PReLU | PRelu | +| Range | | √ | | | | | Range | | | +| Rank | | √ | | | | | Rank | | | +| ReduceMax | √ | √ | √ | √ | | | ReduceMax | | ReduceMax | +| ReduceMean | √ | √ | √ | √ | | | Mean | | ReduceMean | +| ReduceMin | √ | √ | √ | √ | | | ReduceMin | | ReduceMin | +| ReduceProd | √ | √ | √ | √ | | | ReduceProd | | | +| ReduceSum | √ | √ | √ | √ | | | Sum | | ReduceSum | +| ReduceSumSquare | √ | √ | √ | √ | | | | | | +| ReLU | √ | √ | √ | √ | | √ | Relu | ReLU | Relu | +| ReLU6 | √ | √ | √ | √ | | √ | Relu6 | ReLU6 | Clip* | +| Reshape | √ | √ | √ | √ | | √ | Reshape | Reshape | Reshape,Flatten | +| Resize | | √ | √ | √ | | | ResizeBilinear, NearestNeighbor | Interp | | +| Reverse | | √ | | | | | reverse | | | +| ReverseSequence | | √ | | | | | ReverseSequence | | | +| Round | | √ | √ | √ | | | Round | | | +| Rsqrt | | √ | √ | √ | | | Rsqrt | | | +| Scale | | √ | | | | | | Scale | | +| ScatterNd | | √ | | | | | ScatterNd | | | +| Shape | | √ | | | | | Shape | | Shape | +| Sigmoid | √ | √ | √ | √ | | √ | Logistic | Sigmoid | Sigmoid | +| Sin | | √ | √ | √ | | | Sin | | Sin | +| Slice | | √ | √ | √ | | √ | Slice | | Slice | +| Softmax | √ | √ | √ | √ | | √ | Softmax | Softmax | Softmax | +| SpaceToBatch | | √ | | | | | | | | +| SpaceToBatchND | | √ | | | | | SpaceToBatchND | | | +| SpaceToDepth | | √ | | | | | SpaceToDepth | | SpaceToDepth | +| SparseToDense | | √ | | | | | SpareToDense | | | +| Split | √ | √ | √ | √ | | | Split, SplitV | | | +| Sqrt | | √ | √ | √ | | | Sqrt | | Sqrt | +| Square | | √ | √ | √ | | | Square | | | +| SquaredDifference | | √ | | | | | SquaredDifference | | | +| Squeeze | | √ | √ | √ | | | Squeeze | | Squeeze | +| StridedSlice | | √ | √ | √ | | | StridedSlice| | | +| Stack | | √ | | | | | Stack | | | +| Sub | √ | √ | √ | √ | | √ | Sub | | Sub | +| Tanh | √ | √ | | | | | Tanh | TanH | | +| Tile | | √ | | | | | Tile | | Tile | +| TopK | | √ | √ | √ | | | TopKV2 | | | +| Transpose | √ | √ | | | | √ | Transpose | Permute | Transpose | +| Unique | | √ | | | | | Unique | | | +| Unsqueeze | | √ | √ | √ | | | | | Unsqueeze | +| Unstack | | √ | | | | | Unstack | | | +| Where | | √ | | | | | Where | | | +| ZerosLike | | √ | | | | | ZerosLike | | | -* Clip: only support convert clip(0, 6) to Relu6. -* DEQUANTIZE: only support to convert fp16 to fp32. +* Clip: 仅支æŒå°†clip(0, 6)转æ¢ä¸ºRelu6. +* DEQUANTIZE: 仅支æŒå°†fp16转æ¢ä¸ºfp32.