1ir_version: 8 2producer_name: "pytorch" 3producer_version: "CURRENT_VERSION" 4graph { 5 node { 6 input: "onnx::Gemm_0" 7 input: "weight" 8 input: "bias" 9 output: "3" 10 name: "Gemm_0" 11 op_type: "Gemm" 12 attribute { 13 name: "alpha" 14 f: 1 15 type: FLOAT 16 } 17 attribute { 18 name: "beta" 19 f: 1 20 type: FLOAT 21 } 22 attribute { 23 name: "transB" 24 i: 1 25 type: INT 26 } 27 } 28 name: "main_graph" 29 initializer { 30 dims: 5 31 dims: 4 32 data_type: 1 33 name: "weight" 34 raw_data: "\212\332\356>@\265u>p\303E\275 \320\306\274\354\201\221>\004\354\261\276\2746*>8\247)\276\340\035\224>\024\2446\276\200\211\312<\224\344,>D\356\257>\320\202\226\275\364\213\351>z\226\330\276\310\250\266\275\352F\377\276\000\250)=\244K\021>" 35 } 36 initializer { 37 dims: 5 38 data_type: 1 39 name: "bias" 40 raw_data: "\324BO\276@\245T>\350\377\245\275\374u\336\276&\212\304>" 41 } 42 input { 43 name: "onnx::Gemm_0" 44 type { 45 tensor_type { 46 elem_type: 1 47 shape { 48 dim { 49 dim_value: 3 50 } 51 dim { 52 dim_value: 4 53 } 54 } 55 } 56 } 57 } 58 input { 59 name: "weight" 60 type { 61 tensor_type { 62 elem_type: 1 63 shape { 64 dim { 65 dim_value: 5 66 } 67 dim { 68 dim_value: 4 69 } 70 } 71 } 72 } 73 } 74 input { 75 name: "bias" 76 type { 77 tensor_type { 78 elem_type: 1 79 shape { 80 dim { 81 dim_value: 5 82 } 83 } 84 } 85 } 86 } 87 output { 88 name: "3" 89 type { 90 tensor_type { 91 elem_type: 1 92 shape { 93 dim { 94 dim_value: 3 95 } 96 dim { 97 dim_value: 5 98 } 99 } 100 } 101 } 102 } 103} 104opset_import { 105 version: 17 106} 107