ir_version: 8 producer_name: "pytorch" producer_version: "CURRENT_VERSION" graph { node { input: "onnx::ConvTranspose_0" input: "weight" output: "2" name: "ConvTranspose_0" op_type: "ConvTranspose" attribute { name: "dilations" ints: 1 ints: 1 type: INTS } attribute { name: "group" i: 1 type: INT } attribute { name: "kernel_shape" ints: 3 ints: 3 type: INTS } attribute { name: "output_padding" ints: 2 ints: 2 type: INTS } attribute { name: "pads" ints: 1 ints: 1 ints: 1 ints: 1 type: INTS } attribute { name: "strides" ints: 3 ints: 3 type: INTS } } name: "main_graph" initializer { dims: 3 dims: 3 dims: 3 dims: 3 data_type: 1 name: "weight" 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\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\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" } input { name: "onnx::ConvTranspose_0" type { tensor_type { elem_type: 1 shape { dim { dim_value: 2 } dim { dim_value: 3 } dim { dim_value: 4 } dim { dim_value: 5 } } } } } input { name: "weight" type { tensor_type { elem_type: 1 shape { dim { dim_value: 3 } dim { dim_value: 3 } dim { dim_value: 3 } dim { dim_value: 3 } } } } } output { name: "2" type { tensor_type { elem_type: 1 shape { dim { dim_value: 2 } dim { dim_value: 3 } dim { dim_value: 12 } dim { dim_value: 15 } } } } } } opset_import { version: 17 }