1ir_version: 8 2producer_name: "pytorch" 3producer_version: "CURRENT_VERSION" 4graph { 5 node { 6 input: "onnx::MatMul_1" 7 input: "onnx::MatMul_2" 8 output: "onnx::Mul_4" 9 name: "MatMul_2" 10 op_type: "MatMul" 11 } 12 node { 13 output: "onnx::Mul_10" 14 name: "Constant_3" 15 op_type: "Constant" 16 attribute { 17 name: "value" 18 t { 19 data_type: 1 20 raw_data: "\000\000\200?" 21 } 22 type: TENSOR 23 } 24 } 25 node { 26 input: "onnx::Mul_4" 27 input: "onnx::Mul_10" 28 output: "onnx::Add_6" 29 name: "Mul_4" 30 op_type: "Mul" 31 } 32 node { 33 output: "onnx::Mul_11" 34 name: "Constant_5" 35 op_type: "Constant" 36 attribute { 37 name: "value" 38 t { 39 data_type: 1 40 raw_data: "\000\000\200?" 41 } 42 type: TENSOR 43 } 44 } 45 node { 46 input: "onnx::Mul_0" 47 input: "onnx::Mul_11" 48 output: "onnx::Add_8" 49 name: "Mul_6" 50 op_type: "Mul" 51 } 52 node { 53 input: "onnx::Add_6" 54 input: "onnx::Add_8" 55 output: "9" 56 name: "Add_7" 57 op_type: "Add" 58 } 59 name: "main_graph" 60 input { 61 name: "onnx::Mul_0" 62 type { 63 tensor_type { 64 elem_type: 1 65 shape { 66 dim { 67 dim_value: 10 68 } 69 dim { 70 dim_value: 3 71 } 72 dim { 73 dim_value: 5 74 } 75 } 76 } 77 } 78 } 79 input { 80 name: "onnx::MatMul_1" 81 type { 82 tensor_type { 83 elem_type: 1 84 shape { 85 dim { 86 dim_value: 10 87 } 88 dim { 89 dim_value: 3 90 } 91 dim { 92 dim_value: 4 93 } 94 } 95 } 96 } 97 } 98 input { 99 name: "onnx::MatMul_2" 100 type { 101 tensor_type { 102 elem_type: 1 103 shape { 104 dim { 105 dim_value: 10 106 } 107 dim { 108 dim_value: 4 109 } 110 dim { 111 dim_value: 5 112 } 113 } 114 } 115 } 116 } 117 output { 118 name: "9" 119 type { 120 tensor_type { 121 elem_type: 1 122 shape { 123 dim { 124 dim_value: 10 125 } 126 dim { 127 dim_value: 3 128 } 129 dim { 130 dim_value: 5 131 } 132 } 133 } 134 } 135 } 136} 137opset_import { 138 version: 17 139} 140