ir_version: 8 producer_name: "pytorch" producer_version: "CURRENT_VERSION" graph { node { input: "x" output: "onnx::Slice_2" name: "Shape_4" op_type: "Shape" } node { output: "onnx::Slice_3" name: "Constant_5" 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_4" 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_5" 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_2" input: "onnx::Slice_4" input: "onnx::Slice_5" input: "onnx::Slice_3" output: "onnx::Concat_6" name: "Slice_8" op_type: "Slice" } node { output: "onnx::Concat_12" name: "Constant_9" op_type: "Constant" attribute { name: "value" t { dims: 2 data_type: 7 raw_data: "\020\000\000\000\000\000\000\000\020\000\000\000\000\000\000\000" } type: TENSOR } } node { input: "onnx::Concat_6" input: "onnx::Concat_12" output: "onnx::Resize_8" name: "Concat_10" op_type: "Concat" attribute { name: "axis" i: 0 type: INT } } node { input: "x" input: "" input: "" input: "onnx::Resize_8" output: "11" name: "Resize_11" op_type: "Resize" attribute { name: "coordinate_transformation_mode" s: "asymmetric" type: STRING } attribute { name: "cubic_coeff_a" f: -0.75 type: FLOAT } attribute { name: "mode" s: "nearest" type: STRING } attribute { name: "nearest_mode" s: "floor" type: STRING } } name: "main_graph" input { name: "x" type { tensor_type { elem_type: 1 shape { dim { dim_value: 1 } dim { dim_value: 2 } dim { dim_value: 3 } dim { dim_value: 4 } } } } } output { name: "11" type { tensor_type { elem_type: 1 shape { dim { dim_value: 1 } dim { dim_value: 2 } dim { dim_value: 16 } dim { dim_value: 16 } } } } } } opset_import { version: 17 }