1ir_version: 3 2producer_name: "onnx-conv" 3graph { 4 node { 5 input: "data" 6 input: "W" 7 input: "B" 8 output: "y" 9 name: "conv1" 10 op_type: "Conv" 11 attribute { 12 name: "kernel_shape" 13 ints: 2 14 ints: 2 15 type: INTS 16 } 17 attribute { 18 name: "auto_pad" 19 s: "SAME_UPPER" 20 type: STRING 21 } 22 attribute { 23 name: "strides" 24 ints: 1 25 ints: 1 26 type: INTS 27 } 28 } 29 name: "test-model" 30 initializer { 31 dims: 1 32 dims: 1 33 dims: 2 34 dims: 2 35 data_type: 1 36 float_data: 1.0 37 float_data: 1.0 38 float_data: 1.0 39 float_data: 1.0 40 name: "W" 41 } 42 initializer { 43 dims: 1 44 data_type: 1 45 float_data: 2.0 46 name: "B" 47 } 48 input { 49 name: "data" 50 type { 51 tensor_type { 52 elem_type: 1 53 shape { 54 dim { 55 dim_value: 1 56 } 57 dim { 58 dim_value: 1 59 } 60 dim { 61 dim_value: 3 62 } 63 dim { 64 dim_value: 3 65 } 66 } 67 } 68 } 69 } 70 input { 71 name: "W" 72 type { 73 tensor_type { 74 elem_type: 1 75 shape { 76 dim { 77 dim_value: 1 78 } 79 dim { 80 dim_value: 1 81 } 82 dim { 83 dim_value: 2 84 } 85 dim { 86 dim_value: 2 87 } 88 } 89 } 90 } 91 } 92 input { 93 name: "B" 94 type { 95 tensor_type { 96 elem_type: 1 97 shape { 98 dim { 99 dim_value: 1 100 } 101 } 102 } 103 } 104 } 105 output { 106 name: "y" 107 type { 108 tensor_type { 109 elem_type: 1 110 shape { 111 dim { 112 dim_value: 1 113 } 114 dim { 115 dim_value: 1 116 } 117 dim { 118 dim_value: 2 119 } 120 dim { 121 dim_value: 2 122 } 123 } 124 } 125 } 126 } 127} 128opset_import { 129 version: 4 130} 131