.. blogpost::
    :title: ONNX from C#
    :keywords: ONNX, C#
    :date: 2021-07-09
    :categories: runtime

    This example shows how to compute the predictions of a model
    using C#.

    ::

        using System.Collections.Generic;
        using Microsoft.ML.OnnxRuntime;
        using Microsoft.ML.OnnxRuntime.Tensors;

        namespace ConsoleAppOnnx
        {
            class Program
            {
                static void Main(string[] args)
                {
                    // Loads the model.
                    var opts = new SessionOptions();
                    string model_path = "model.onnx";
                    var session = new InferenceSession(model_path, opts);

                    // Creating an input tensor (assuming there is only one).
                    // Get the name of the input and the number of features.
                    string name = string.Empty;
                    int n_features = -1;
                    foreach (var inp in session.InputMetadata)
                    {
                        name = inp.Key;
                        n_features = inp.Value.Dimensions[1];
                        break;
                    }

                    // Creates an empty input.
                    var dims = new int[] { 1, n_features };
                    var t = new DenseTensor<float>(dims);
                    for (int i = 0; i < dims[1]; ++i)
                        t.SetValue(i, 1.0f / (dims[1] + 1));
                    var tensor = NamedOnnxValue.CreateFromTensor(name, t);

                    // Runs the inference.
                    var inputs = new List<NamedOnnxValue>() { tensor };
                    using (var outputs = session.Run(inputs))
                    {
                        foreach (var o in outputs)
                        {
                            DenseTensor<float> to = o.AsTensor<float>().ToDenseTensor();
                            var values = new float[to.Length];
                            to.Buffer.CopyTo(values);
                            // values contains the results.
                            foreach (var i in values)
                                System.Console.Write(string.Format("{0}, ", i));
                            System.Console.WriteLine();
                        }
                    }
                }
            }
        }