TensorFlowPbTest.cs

using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using TensorFlow;

namespace MachineLearning
{
    class Program
    {
        private static string _modelPath;
        static void Main(string[] args)
        {
            // Path of the Frozen model 
            _modelPath = "D:\\net_Repos\\net\\MachineLearning\\Model\\frozen_model.pb";
            string modelFile = _modelPath;
            float[,] data = {{3, 10, 7, 20, 5, 9, 7, 9, 4, 3},
                            { 3, 5, 7, 4, 5, 9, 7, 9, 4, 3},
                            { 2, 8, 8, 7, 8, 5, 5, 9, 7, 2}};
            // TensorflowSharp Session 
            using (var graph = new TFGraph()){
                var model = File.ReadAllBytes(modelFile);
                graph.Import(model);
                Console.Write("reached here");
                var session = new TFSession(graph);
                var runner = session.GetRunner();
                Console.Write("reached here");
                // AddInput is the input node and Fetch is the output node in Tensorflow graph
                runner.AddInput (graph ["Placeholder/inputs_placeholder"] [0], data).Fetch (graph ["Accuracy/predictions"] [0]);
                var output = runner.Run();
                var result = output[0];
                var se = (Boolean[,])result.GetValue(jagged: false);
                Console.WriteLine ("{0}[1]", result);
                for (int i = 0; i < se.GetLength(0); i++){
                    for (int j = 0; j < se.GetLength(1); j++){
                        Console.WriteLine("{0}", se[i, j]);
                    }
                }
            }
            Console.ReadLine();
        }
    }
}