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未验证 提交 90fdab16 编写于 作者: J Jason 提交者： GitHub
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Update op_list.md

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docs/inference_model_convertor/op_list.md
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......@@ -7,28 +7,32 @@
| 序号 | OP | 序号 | OP | 序号 | OP | 序号 | OP |
|------|------|------|------|------|------|------|------|
| 1 | Relu | 2 | Relu6 | 3 | Shape | 4 | Abs |
| 5 | Sigmoid | 6 | Exp | 7 | Rsqrt | 8 | swish_f32 |
| 9 | Tanh | 10 | LeakyRelu | 11 | Add | 12 | RealDiv |
| 13 | Sub | 14 | Maximum | 15 | Mul | 16 | FloorDiv |
| 17 | Placeholder | 18 | Const | 19 | Transpose | 20 | FusedBatchNorm |
| 21 | Conv2D | 22 | BiasAdd | 23 | MaxPool | 24 | DepthwiseConv2dNative |
| 25 | Reshape | 26 | AvgPool | 27 | SplitV | 28 | SquaredDifference |
| 29 | Tile | 30 | Pack | 31 | Pad | 32 | ResizeBilinear |
| 33 | Mean | 34 | MatMul | 35 | ArgMax | 36 | StridedSlice |
| 37 | Slice | 38 | Sum | 39 | Max | 40 | Conv2DBackpropInput |
| 41 | Cast | 42 | Split | 43 | Squeeze | 44 | ResizeNearestNeighbor |
| 45 | Softmax | 46 | Range | 47 | ConcatV2 | 48 | MirrorPad |
| 49 | Identity | 50 | GreaterEqual | 51 | StopGradient | 52 | Minimum |
| 53 | RandomUniform | 54 | Fill | 55 | Floor | 56 | DepthToSpace |
| 57 | Sqrt | 58 | Softplus | 59 | Erf | 60 | AddV2 |
| 61 | LessEqual | 62 | BatchMatMul | 63 | BatchMatMulV2 | 64 | ExpandDims |
| 65 | BatchToSpaceND | 66 | SpaceToBatchND | 67 | OneHot | 68 | Pow |
| 69 | All | 70 | GatherV2 | 71 | IteratorV2 | 72 | Neg |
| 73 | Greater | 74 | FloorMod | 75 | LogicalAdd | 76 | Prod |
| 77 | Equal | 78 | Conv3D | 79 | Ceil | 80 | AddN |
| 81 | DivNoNan | 82 | Where | 83 | MirrorPad | 84 | Size |
| 85 | TopKv2 | 86 | SplitV | 87 | Sign | | |
| 1 | Abs | 2 | Add | 3 | AddN | 4 | AddV2 |
| 5 | All | 6 | ArgMax | 7 | AvgPool | 8 | BatchMatmul |
| 9 | BatchMatmulV2 | 10 | BatchToSpaceNd | 11 | BiasAdd | 12 | Cast |
| 13 | Ceil | 14 | Concat | 15 | ConcatV2 | 16 | Const |
| 17 | Conv2D | 18 | Conv2DBackpropInput | 19 | Conv3D | 20 | DepthToSpace |
| 21 | DepthwiseConv2DNative | 22 | DivNoNan | 23 | Equal | 24 | Erf |
| 25 | Exp | 26 | ExpandDims | 27 | Fill | 28 | Floor |
| 29 | FloorDiv | 30 | FloorMod | 31 | FusedBatchnorm | 32 | FusedBatchnormV3 |
| 33 | GatherNd | 34 | GatherV2 | 35 | Greater | 36 | GreaterEqual |
| 37 | Identity | 38 | IteratorV2 | 39 | LeakyRelu | 40 | LessEqual |
| 41 | LogicalAnd | 42 | Matmul | 43 | Max | 44 | Maximum |
| 45 | MaxPool | 46 | Mean | 47 | Merge | 48 | Minimum |
| 49 | MirrorPad | 50 | Mul | 51 | Neg | 52 | NotEqual |
| 53 | OneHot | 54 | OneShotIterator | 55 | Pack | 56 | Pad |
| 57 | PadV2 | 58 | Placeholder | 59 | PlaceholderWithDefault | 60 | Pow |
| 61 | Prod | 62 | RandomUniform | 63 | Range | 64 | RealDiv |
| 65 | Relu | 66 | Relu6 | 67 | Reshape | 68 | ResizeBilinear |
| 69 | ResizeNearestNeighbor | 70 | ReverseV2 | 71 | Rsqrt | 72 | Shape |
| 73 | Sigmoid | 74 | Sign | 75 | Size | 76 | Slice |
| 77 | Softmax | 78 | Softplus | 79 | SpaceToBatchNd | 80 | Split |
| 81 | SplitV | 82 | Square | 83 | SquaredDifference | 84 | Squeeze |
| 85 | StopGradient | 86 | StridedSlice | 87 | Sub | 88 | Sum |
| 89 | Switch | 90 | Tanh | 91 | Tile | 92 | TopKV2 |
| 93 | Transpose | 94 | Unpack | 95 | Where | 96 | IteratorGetNext |
| 97 | swish_f32 | | | | | | |
## Caffe
......@@ -48,24 +52,27 @@
| 序号 | OP | 序号 | OP | 序号 | OP | 序号 | OP |
|------|------|------|------|------|------|------|------|
| 1 | Relu | 2 | LeakyRelu | 3 | Elu | 4 | ThresholdedRelu |
| 5 | Prelu | 6 | Tanh | 7 | Shrink | 8 | Sigmoid |
| 9 | Pow | 10 | Softplus | 11 | Softsign | 12 | HardSigmoid |
| 13 | Exp | 14 | Add | 15 | Div | 16 | Sub |
| 17 | Mul | 18 | Shape | 19 | Clip | 20 | AveragePool |
| 21 | Sqrt | 22 | ReduceSum | 23 | ReduceMin | 24 | ReduceMean |
| 25 | Constant | 26 | Pad | 27 | Unsqueeze | 28 | Resize |
| 29 | Upsample | 30 | Expand | 31 | Gather | 32 | Slice |
| 33 | Cast | 34 | Split | 35 | Reshape | 36 | ConstantOfShape |
| 37 | Ceil | 38 | Concat | 39 | Flatten | 40 | ConvTranspose |
| 41 | MatMul | 42 | Sum | 43 | Transpose | 44 | BatchNormalization |
| 45 | Squeeze | 46 | Equal | 47 | Identity | 48 | GlobalAveragePool |
| 49 | MaxPool | 50 | Conv | 51 | Gemm | 52 | NonZero |
| 53 | Abs | 54 | Floor | 56 | ArgMax | 57 | Sign |
| 58 | Reciprocal | 59 | Size | 60 | OneHot | 61 | ReduceProd |
| 62 | LogSoftmax | 63 | LSTM | 64 | LRN | 65 | NonMaxSuppression |
| 66 | ReduceL1 | 67 | ReduceL2 | | | | |
| 1 | Abs | 2 | ArgMax | 3 | AverageOool | 4 | BatchNormalization |
| 5 | Cast | 6 | Ceil | 7 | Clip | 8 | Constant |
| 9 | ConstantOfShape | 10 | Conv | 11 | ConvTranspose | 12 | DepthToSpace |
| 13 | Div | 14 | Elu | 15 | Equal | 16 | Erf |
| 17 | Exp | 18 | Expand | 19 | Flatten | 20 | Floor |
| 21 | Gather | 22 | Gemm | 23 | GlobalAveragePool | 24 | GlobalMaxPool |
| 25 | Greater | 26 | HardSigmoid | 27 | Identity | 28 | InstanceNormalization |
| 29 | LeakyRelu | 30 | Less | 31 | Log | 32 | LogSoftmax |
| 33 | LRN | 34 | LSTM | 35 | Matmul | 36 | MaxPool |
| 37 | MaxRoiPool | 38 | Mul | 39 | NonZero | 40 | NonMaxSuppression |
| 41 | Not | 42 | OneHot | 43 | Pad | 44 | Pow |
| 45 | PRelu | 46 | Range | 47 | Reciprocal | 48 | ReduceL1 |
| 49 | ReduceL2 | 50 | ReduceMax | 51 | ReduceMean | 52 | ReduceMin |
| 53 | ReduceProd | 54 | ReduceSum | 55 | Relu | 56 | Reshape |
| 57 | Resize | 58 | RoiAlign | 59 | ScatterND | 60 | Shape |
| 61 | Shrink | 62 | Sigmoid | 63 | Sign | 64 | Size |
| 65 | Slice | 66 | Softmax | 67 | SoftPlus | 68 | SoftSign |
| 69 | Split | 70 | Sqrt | 71 | Squeeze | 72 | Sub |
| 73 | Sum | 74 | Tanh | 75 | Tile | 76 | TopK |
| 77 | Transpose | 78 | Unsqueeze | 79 | Upsample | 80 | Where |
| 81 | Add | 82 | Concat | | | |
## PyTorch
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