1ir_version: 8 2producer_name: "pytorch" 3producer_version: "CURRENT_VERSION" 4graph { 5 node { 6 input: "onnx::ConvTranspose_0" 7 input: "weight" 8 output: "2" 9 name: "ConvTranspose_0" 10 op_type: "ConvTranspose" 11 attribute { 12 name: "dilations" 13 ints: 1 14 ints: 1 15 type: INTS 16 } 17 attribute { 18 name: "group" 19 i: 1 20 type: INT 21 } 22 attribute { 23 name: "kernel_shape" 24 ints: 3 25 ints: 3 26 type: INTS 27 } 28 attribute { 29 name: "output_padding" 30 ints: 2 31 ints: 2 32 type: INTS 33 } 34 attribute { 35 name: "pads" 36 ints: 1 37 ints: 1 38 ints: 1 39 ints: 1 40 type: INTS 41 } 42 attribute { 43 name: "strides" 44 ints: 3 45 ints: 3 46 type: INTS 47 } 48 } 49 name: "main_graph" 50 initializer { 51 dims: 3 52 dims: 3 53 dims: 3 54 dims: 3 55 data_type: 1 56 name: "weight" 57 raw_data: "\247\2459\276t\251\032\275\030O\275\275,?R\275#\027.\276\322)\236=Q\2470\276\240\353H\274\322\001\211=\272\332\204\275\336\243\337=@\330\306<n\250\330=~\341\374=\254\375\255\275\n=\217=\024\206\252\275\364\027w=\262\356\315\275\342P\266=(\225\037=<>\232\275\250R\301\275\024\362K=\241\3367>f%\275=\010=\230\274\340\013\031\274\002\006\340=\341\366\010\276\332\007\203=^\231\202\275b\n\344=\331\230\214\275\300\351\033<\316\027\205=yn\007>\020\272\347\274\311\3103>\270\272&\276x\234\014\275(\203D\276\370\231\202<p\262_=\265\214\237\275\322\261\243=\270\222\377\274\036@+\276\331K\027>\312\002\363=rG\307=\3031\035>\256\356\220=\"\217\321=\311\210#>\350\322\036\275\364\261\031\276}\325\301\275pt\322\274\360=\255\274\000\366\252\272\212\336\341=,\337|=\014\266\021\276`\315l\275\010q9\275\252\340\357=\'\374\216\275\263\346\244\275\200z\375\274\264\203H\275\020\026B\275\000\322@\276\375\225/>\362\304\321=/\200\272\275\\\352\365\275\340c\333;\302\221\340=\277l\r\276\250\333\224\275" 58 } 59 input { 60 name: "onnx::ConvTranspose_0" 61 type { 62 tensor_type { 63 elem_type: 1 64 shape { 65 dim { 66 dim_value: 2 67 } 68 dim { 69 dim_value: 3 70 } 71 dim { 72 dim_value: 4 73 } 74 dim { 75 dim_value: 5 76 } 77 } 78 } 79 } 80 } 81 input { 82 name: "weight" 83 type { 84 tensor_type { 85 elem_type: 1 86 shape { 87 dim { 88 dim_value: 3 89 } 90 dim { 91 dim_value: 3 92 } 93 dim { 94 dim_value: 3 95 } 96 dim { 97 dim_value: 3 98 } 99 } 100 } 101 } 102 } 103 output { 104 name: "2" 105 type { 106 tensor_type { 107 elem_type: 1 108 shape { 109 dim { 110 dim_value: 2 111 } 112 dim { 113 dim_value: 3 114 } 115 dim { 116 dim_value: 12 117 } 118 dim { 119 dim_value: 15 120 } 121 } 122 } 123 } 124 } 125} 126opset_import { 127 version: 17 128} 129