## TensorFlow | 序号 | OP | 序号 | OP |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 | MaxPool | 21 | Conv2D | 22 | BiasAdd | 23 | FusedBatchNorm | 24 | DepthwiseConv2dNative | | 25 | Reshape | 26 | AvgPool | 27 | SplitV | 28 | ConcatV2 | 29 | Tile | 30 | Pack | | 31 | Pad | 32 | Range | 33 | Mean | 34 | MatMul | 35 | ArgMax | 36 | StridedSlice | | 37 | Slice | 38 | Conv2DBackpropInput | 39 | Max | 40 | Sum | 41 | Cast | 42 | Split | | 43| Squeeze | 44 | Softmax | 45 | ResizeNearestNeighbor | 46 | ResizeBilinear | 47 | SquaredDifference | 48 | * |
## Caffe | 模型 | 代码 | |-------|--------| | SqueezeNet | [code](https://github.com/DeepScale/SqueezeNet/tree/master/SqueezeNet_v1.1) |
