目前OneFlow2ONNX 支持90+的ONNX OP，我们在下面的列表中列出了目前OneFlow支持导出的全部ONNX OP。
| 序号 | OP | 序号 | OP | 序号 | OP | 序号 | OP |
|---|---|---|---|---|---|---|---|
| 1 | GatherND | 2 | Transpose | 3 | Add | 4 | Sub |
| 5 | Mul | 6 | Div | 7 | Sum | 8 | LeakyRelu |
| 9 | Softplus | 10 | Softplus | 11 | Abs | 12 | Ceil |
| 13 | Elu | 14 | Exp | 15 | Floor | 16 | Log |
| 17 | Neg | 18 | Sigmoid | 19 | Sqrt | 20 | Tanh |
| 21 | Reciprocal | 22 | Relu | 23 | Acos | 24 | Asin |
| 25 | Atan | 26 | Cos | 27 | Sin | 28 | Tan |
| 29 | Acosh | 30 | Asinh | 31 | Atanh | 32 | Cosh |
| 33 | Sinh | 34 | Min | 35 | Max | 36 | Clip |
| 37 | Softmax | 38 | Sign | 39 | MatMul | 40 | Erf |
| 41 | FloorMod | 42 | Round | 43 | Not | 44 | And |
| 45 | Or | 46 | Equal | 47 | NotEqual | 48 | Greater |
| 49 | Less | 50 | Pad | 51 | AveragePool | 52 | MaxPool |
| 53 | Conv | 54 | QuantizeLinear | 56 | ReduceMin | 57 | BatchNormalization |
| 58 | ReduceSum | 59 | ReduceProd | 60 | ArgMax | 61 | ArgMin |
| 62 | Reshape | 63 | Squeeze | 64 | Transpose | 65 | Concat |
| 66 | Cast | 67 | Identity | 68 | Mul | 69 | PReLU |
| 70 | LeakyReLU | 71 | Constant | 72 | Flatten | 73 | Slice |
| 74 | Pooling | 75 | Groupconvd | 76 | HardSwish | 77 | HardSigmoid |
| 78 | Arange | 79 | ExpandDims | 80 | Narrow | 81 | SiLU |
| 82 | Upsample | 83 | Var | 84 | Conv1D | 85 | ScalarDiv |
| 86 | CublasFusedMLP | 87 | Unsqueeze | 88 | BroadcastMatmul | 89 | Where |
| 90 | ScalarLogicalLess | 91 | ScalarLogicalGreater | 92 | Gather | 93 | Expand |
| 94 | fill_ | 95 | GeLU | 96 | LayerNorm | 97 | AmpIdentity |
| 98 | fast_gelu | 99 | quick_gelu | 100 | fused_self_attention | 101 | RMSLayerNorm |
| 102 | RMSNorm | 103 | fused_bias_add_scale_mask_softmax_dropout |