1ir_version: 8 2producer_name: "pytorch" 3producer_version: "CURRENT_VERSION" 4graph { 5 node { 6 input: "input" 7 input: "weight" 8 input: "bias" 9 input: "running_mean" 10 input: "running_var" 11 output: "6" 12 output: "7" 13 output: "8" 14 name: "BatchNormalization_0" 15 op_type: "BatchNormalization" 16 attribute { 17 name: "epsilon" 18 f: 1e-05 19 type: FLOAT 20 } 21 attribute { 22 name: "momentum" 23 f: 0.9 24 type: FLOAT 25 } 26 attribute { 27 name: "training_mode" 28 i: 1 29 type: INT 30 } 31 } 32 name: "main_graph" 33 initializer { 34 dims: 2 35 data_type: 1 36 name: "weight" 37 raw_data: "\000\000\200?\000\000\200?" 38 } 39 initializer { 40 dims: 2 41 data_type: 1 42 name: "bias" 43 raw_data: "\000\000\000\000\000\000\000\000" 44 } 45 initializer { 46 dims: 2 47 data_type: 1 48 name: "running_mean" 49 raw_data: "\315\314\314=\315\314\314=" 50 } 51 initializer { 52 dims: 2 53 data_type: 1 54 name: "running_var" 55 raw_data: "fff?fff?" 56 } 57 input { 58 name: "input" 59 type { 60 tensor_type { 61 elem_type: 1 62 shape { 63 dim { 64 dim_value: 2 65 } 66 dim { 67 dim_value: 2 68 } 69 dim { 70 dim_value: 2 71 } 72 dim { 73 dim_value: 2 74 } 75 } 76 } 77 } 78 } 79 input { 80 name: "weight" 81 type { 82 tensor_type { 83 elem_type: 1 84 shape { 85 dim { 86 dim_value: 2 87 } 88 } 89 } 90 } 91 } 92 input { 93 name: "bias" 94 type { 95 tensor_type { 96 elem_type: 1 97 shape { 98 dim { 99 dim_value: 2 100 } 101 } 102 } 103 } 104 } 105 input { 106 name: "running_mean" 107 type { 108 tensor_type { 109 elem_type: 1 110 shape { 111 dim { 112 dim_value: 2 113 } 114 } 115 } 116 } 117 } 118 input { 119 name: "running_var" 120 type { 121 tensor_type { 122 elem_type: 1 123 shape { 124 dim { 125 dim_value: 2 126 } 127 } 128 } 129 } 130 } 131 output { 132 name: "6" 133 type { 134 tensor_type { 135 elem_type: 1 136 shape { 137 dim { 138 dim_value: 2 139 } 140 dim { 141 dim_value: 2 142 } 143 dim { 144 dim_value: 2 145 } 146 dim { 147 dim_value: 2 148 } 149 } 150 } 151 } 152 } 153} 154opset_import { 155 version: 17 156} 157