ir_version: 8 producer_name: "pytorch" producer_version: "CURRENT_VERSION" graph { node { input: "input" input: "weight" input: "bias" input: "running_mean" input: "running_var" output: "6" name: "BatchNormalization_0" op_type: "BatchNormalization" attribute { name: "epsilon" f: 1e-05 type: FLOAT } attribute { name: "momentum" f: 0.9 type: FLOAT } attribute { name: "training_mode" i: 0 type: INT } } name: "main_graph" initializer { dims: 2 data_type: 1 name: "weight" raw_data: "\000\000\200?\000\000\200?" } initializer { dims: 2 data_type: 1 name: "bias" raw_data: "\000\000\000\000\000\000\000\000" } initializer { dims: 2 data_type: 1 name: "running_mean" raw_data: "\000\000\000\000\000\000\000\000" } initializer { dims: 2 data_type: 1 name: "running_var" raw_data: "\000\000\200?\000\000\200?" } input { name: "input" type { tensor_type { elem_type: 1 shape { dim { dim_value: 2 } dim { dim_value: 2 } dim { dim_value: 2 } dim { dim_value: 2 } } } } } output { name: "6" type { tensor_type { elem_type: 1 shape { dim { dim_value: 2 } dim { dim_value: 2 } dim { dim_value: 2 } dim { dim_value: 2 } } } } } } opset_import { version: 17 }