ir_version: 8 producer_name: "pytorch" producer_version: "CURRENT_VERSION" graph { node { input: "onnx::MaxPool_0" output: "1" output: "onnx::Sub_2" name: "MaxPool_3" op_type: "MaxPool" attribute { name: "ceil_mode" i: 0 type: INT } attribute { name: "dilations" ints: 1 type: INTS } attribute { name: "kernel_shape" ints: 3 type: INTS } attribute { name: "pads" ints: 0 ints: 0 type: INTS } attribute { name: "strides" ints: 2 type: INTS } } node { input: "onnx::MaxPool_0" output: "3" output: "onnx::Slice_4" name: "MaxPool_4" op_type: "MaxPool" attribute { name: "dilations" ints: 1 type: INTS } attribute { name: "kernel_shape" ints: 1 type: INTS } attribute { name: "strides" ints: 1 type: INTS } } node { output: "onnx::Slice_5" name: "Constant_5" op_type: "Constant" attribute { name: "value" t { dims: 1 data_type: 7 raw_data: "\001\000\000\000\000\000\000\000" } type: TENSOR } } node { output: "onnx::Slice_6" name: "Constant_6" op_type: "Constant" attribute { name: "value" t { dims: 1 data_type: 7 raw_data: "\000\000\000\000\000\000\000\000" } type: TENSOR } } node { output: "onnx::Slice_7" name: "Constant_7" op_type: "Constant" attribute { name: "value" t { dims: 1 data_type: 7 raw_data: "\002\000\000\000\000\000\000\000" } type: TENSOR } } node { input: "onnx::Slice_4" input: "onnx::Slice_6" input: "onnx::Slice_5" input: "onnx::Slice_7" output: "onnx::Sub_8" name: "Slice_8" op_type: "Slice" } node { input: "onnx::Sub_2" input: "onnx::Sub_8" output: "9" name: "Sub_9" op_type: "Sub" } name: "main_graph" input { name: "onnx::MaxPool_0" type { tensor_type { elem_type: 1 shape { dim { dim_value: 20 } dim { dim_value: 16 } dim { dim_value: 50 } } } } } output { name: "1" type { tensor_type { elem_type: 1 shape { dim { dim_value: 20 } dim { dim_value: 16 } dim { dim_value: 24 } } } } } output { name: "9" type { tensor_type { elem_type: 7 shape { dim { dim_value: 20 } dim { dim_value: 16 } dim { dim_value: 24 } } } } } } opset_import { version: 17 }