1ir_version: 8 2producer_name: "pytorch" 3producer_version: "CURRENT_VERSION" 4graph { 5 node { 6 input: "onnx::Cast_0" 7 output: "onnx::BitwiseAnd_2" 8 name: "Cast_1" 9 op_type: "Cast" 10 attribute { 11 name: "to" 12 i: 5 13 type: INT 14 } 15 } 16 node { 17 input: "onnx::Cast_1" 18 output: "onnx::BitwiseAnd_3" 19 name: "Cast_2" 20 op_type: "Cast" 21 attribute { 22 name: "to" 23 i: 5 24 type: INT 25 } 26 } 27 node { 28 input: "onnx::BitwiseAnd_2" 29 input: "onnx::BitwiseAnd_3" 30 output: "4" 31 name: "BitwiseAnd_3" 32 op_type: "BitwiseAnd" 33 } 34 node { 35 output: "onnx::BitwiseAnd_8" 36 name: "Constant_4" 37 op_type: "Constant" 38 attribute { 39 name: "value" 40 t { 41 data_type: 2 42 raw_data: "\002" 43 } 44 type: TENSOR 45 } 46 } 47 node { 48 input: "onnx::Cast_0" 49 input: "onnx::BitwiseAnd_8" 50 output: "7" 51 name: "BitwiseAnd_5" 52 op_type: "BitwiseAnd" 53 } 54 name: "main_graph" 55 input { 56 name: "onnx::Cast_0" 57 type { 58 tensor_type { 59 elem_type: 2 60 shape { 61 dim { 62 dim_value: 2 63 } 64 dim { 65 dim_value: 3 66 } 67 dim { 68 dim_value: 4 69 } 70 } 71 } 72 } 73 } 74 input { 75 name: "onnx::Cast_1" 76 type { 77 tensor_type { 78 elem_type: 3 79 shape { 80 dim { 81 dim_value: 2 82 } 83 dim { 84 dim_value: 3 85 } 86 dim { 87 dim_value: 4 88 } 89 } 90 } 91 } 92 } 93 output { 94 name: "4" 95 type { 96 tensor_type { 97 elem_type: 5 98 shape { 99 dim { 100 dim_value: 2 101 } 102 dim { 103 dim_value: 3 104 } 105 dim { 106 dim_value: 4 107 } 108 } 109 } 110 } 111 } 112 output { 113 name: "7" 114 type { 115 tensor_type { 116 elem_type: 2 117 shape { 118 dim { 119 dim_value: 2 120 } 121 dim { 122 dim_value: 3 123 } 124 dim { 125 dim_value: 4 126 } 127 } 128 } 129 } 130 } 131} 132opset_import { 133 version: 18 134} 135