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| NUMBER | OPERATION NAME IN TENSORFLOW | LAYER NAME IN THE INTERMEDIATE REPRESENTATION |
| 1 | Transpose | Permute |
| 2 | LRN | Norm |
| 3 | Split | Split |
| 4 | SplitV | Split |
| 5 | FusedBatchNorm | ScaleShift (can be fused into Convolution or FullyConnected) |
| 6 | Relu6 | Clamp |
| 7 | DepthwiseConv2dNative | Convolution |
| 8 | ExpandDims | Constant propagation |
| 9 | Slice | Split |
| 10 | ConcatV2 | Concat |
| 11 | MatMul | FullyConnected |
| 12 | Pack | Reshapes and Concat |
| 13 | StridedSlice | Constant propagation and several cases when StridedSlice can be expressed with Splits |
| 14 | Prod | Constant propagation |
| 15 | Const | Constant propagation |
| 16 | Tile | Tile |
| 17 | Placeholder | Input |
| 18 | Pad | Fused into Convolution or Pooling layers (not supported as single operation) |
| 19 | Conv2D | Convolution |
| 20 | Conv2DBackpropInput | Deconvolution |
| 21 | Identity | Ignored, does not appear in the IR |
| 22 | Add | Eltwise(operation = sum) |
| 23 | Mul | Eltwise(operation = mul) |
| 24 | Maximum | |
| 25 | Rsqrt | Power(power=-0.5) |
| 26 | Neg | Power(scale=-1) |
| 27 | Sub | Eltwise(operation = sum) + Power(scale=-1) |
| 28 | Relu | ReLU |
| 29 | AvgPool | Pooling (pool_method=avg) |
| 30 | MaxPool | Pooling (pool_method=max) |
| 31 | Mean | Pooling (pool_method = avg); spatial dimensions are supported only |
| 32 | RandomUniform | Not supported |
| 33 | BiasAdd | Fused or converted to ScaleShift |
| 34 | Reshape | Reshape |
| 35 | Squeeze | Reshape |
| 36 | Shape | Constant propagation (or layer generation if the “–keep_shape_ops” command line parameter has been specified) |
| 37 | Softmax | SoftMax |
| 38 | SpaceToBatchND | Supported in a pattern when converted to Convolution layer dilation attribute, Constant propagation |
| 39 | BatchToSpaceND | Supported in a pattern when converted to Convolution layer dilation attribute, Constant propagation |
| 40 | StopGradient | |
| 41 | Square Constant propagation | |
| 42 | Sum | Pool(pool_method = avg) + Eltwise(operation = mul) |
| 43 | Range | Constant propagation |
| 44 | CropAndResize | ROIPooling (if the the method is ‘bilinear’) |
| 45 | ArgMax | ArgMax |
| 46 | DepthToSpace | Reshape + Permute + Reshape (works for CPU only because of 6D tensors) |
| 47 | ExtractImagePatches | ReorgYolo |
| 48 | ResizeBilinear | Interp |
| 49 | ResizeNearestNeighbor | Resample |
| 50 | Unpack | Split + Reshape (removes dimension being unpacked) if the number of parts is equal to size along given axis |
| 51 | AddN | Several Eltwises |
| 52 | Concat | Concat |
| 53 | Minimum | Power(scale=-1) + Eltwise(operation = max) + Power(scale=-1) |
| 54 | Unsqueeze | Reshape |
| 55 | RealDiv | Power(power = -1) and Eltwise(operation = mul) |
| 56 | SquaredDifference | Power(scale = -1) + Eltwise(operation = sum) + Power(power = 2) |
| 57 | Gather | Gather |
| 58 | GatherV2 | Gather |
| 59 | ResourceGather | Gather |
| 60 | Sqrt | Power(power=0.5) |
| 61 | Square | Power(power=2) |
| 62 | Pad | Pad |
| 63 | PadV2 | Pad |
| 64 | MirrorPad | Pad |
| 65 | ReverseSequence | ReverseSequence |
| 66 | ZerosLike Constant | propagation |
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