ir_version: 8 producer_name: "pytorch" producer_version: "CURRENT_VERSION" graph { node { input: "onnx::Gemm_0" input: "weight" input: "bias" output: "3" name: "Gemm_0" op_type: "Gemm" attribute { name: "alpha" f: 1 type: FLOAT } attribute { name: "beta" f: 1 type: FLOAT } attribute { name: "transB" i: 1 type: INT } } name: "main_graph" initializer { dims: 5 dims: 4 data_type: 1 name: "weight" raw_data: "\212\332\356>@\265u>p\303E\275 \320\306\274\354\201\221>\004\354\261\276\2746*>8\247)\276\340\035\224>\024\2446\276\200\211\312<\224\344,>D\356\257>\320\202\226\275\364\213\351>z\226\330\276\310\250\266\275\352F\377\276\000\250)=\244K\021>" } initializer { dims: 5 data_type: 1 name: "bias" raw_data: "\324BO\276@\245T>\350\377\245\275\374u\336\276&\212\304>" } input { name: "onnx::Gemm_0" type { tensor_type { elem_type: 1 shape { dim { dim_value: 3 } dim { dim_value: 4 } } } } } input { name: "weight" type { tensor_type { elem_type: 1 shape { dim { dim_value: 5 } dim { dim_value: 4 } } } } } input { name: "bias" type { tensor_type { elem_type: 1 shape { dim { dim_value: 5 } } } } } output { name: "3" type { tensor_type { elem_type: 1 shape { dim { dim_value: 3 } dim { dim_value: 5 } } } } } } opset_import { version: 17 }