如何将tensorflow python API转换为golang API

# 下载TensorFlow C库
wget https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-2.x.x.tar.gz
tar -C /usr/local -xzf libtensorflow-cpu-linux-x86_64-2.x.x.tar.gz

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib

go get github.com/tensorflow/tensorflow/tensorflow/go

package main

import (
    tf "github.com/tensorflow/tensorflow/tensorflow/go"
    "log"
)

func main() {
    // 加载模型
    model, err := tf.LoadSavedModel("path/to/saved_model", []string{"serve"}, nil)
    if err != nil {
        log.Fatalf("Error loading model: %v", err)
    }
    defer model.Session.Close()

    // 准备输入数据
    tensor, err := tf.NewTensor([1][2]float32{{1.0, 2.0}})
    if err != nil {
        log.Fatalf("Error creating tensor: %v", err)
    }

    // 运行模型
    results, err := model.Session.Run(
        map[tf.Output]*tf.Tensor{
            model.Graph.Operation("input_tensor_name").Output(0): tensor,
        },
        []tf.Output{
            model.Graph.Operation("output_tensor_name").Output(0),
        },
        nil,
    )
    if err != nil {
        log.Fatalf("Error running model: %v", err)
    }

    // 处理输出结果
    output := results[0].Value().([][]float32)
    log.Printf("Model output: %v", output)
}