/// <summary>
/// Program entry point
/// </summary>
/// <param name="args">Program arguments (ignored)</param>
private static void Main(string[] args)
{
try
{
// The examples assume the executable is running from the data folder
// We switch the current directory to the data folder (assuming the executable is in the <CNTK>/x64/Debug|Release folder
Environment.CurrentDirectory = Path.Combine(Environment.CurrentDirectory, @"..\..\Examples\Image\MNIST\Data\");
Dictionary<string, List<float>> outputs;
using (var model = new IEvaluateModelManagedF())
{
// Initialize model evaluator
string config = GetConfig();
model.Init(config);
// Load model
string modelFilePath = Path.Combine(Environment.CurrentDirectory, @"..\Output\Models\01_OneHidden");
model.LoadModel(modelFilePath);
// Generate random input values in the appropriate structure and size
var inputs = GetDictionary("features", 28*28, 255);
// We can call the evaluate method and get back the results (single layer)...
// List<float> outputList = model.Evaluate(inputs, "ol.z", 10);
// ... or we can preallocate the structure and pass it in (multiple output layers)
outputs = GetDictionary("ol.z", 10, 1);
model.Evaluate(inputs, outputs);
}
Console.WriteLine("--- Output results ---");
foreach (var item in outputs)
{
Console.WriteLine("Output layer: {0}", item.Key);
foreach (var entry in item.Value)
{
Console.WriteLine(entry);
}
}
}
catch (Exception ex)
{
Console.WriteLine("Error: {0} \n {1}", ex, ex.InnerException != null ? ex.InnerException.Message : "No Inner Exception");
}
Console.WriteLine("Press <Enter> to terminate.");
Console.ReadLine();
}
/// <summary>
/// Program entry point
/// </summary>
/// <param name="args">Program arguments (ignored)</param>
private static void Main(string[] args)
{
try
{
// The examples assume the executable is running from the data folder
// We switch the current directory to the data folder (assuming the executable is in the <CNTK>/x64/Debug|Release folder
Environment.CurrentDirectory = Path.Combine(Environment.CurrentDirectory, @"..\..\Examples\Image\MNIST\Data\");
Dictionary <string, List <float> > outputs;
using (var model = new IEvaluateModelManagedF())
{
// Initialize model evaluator
string config = GetConfig();
model.Init(config);
// Load model
string modelFilePath = Path.Combine(Environment.CurrentDirectory, @"..\Output\Models\01_OneHidden");
model.LoadModel(modelFilePath);
// Generate random input values in the appropriate structure and size
var inputs = GetDictionary("features", 28 * 28, 255);
// We can call the evaluate method and get back the results (single layer)...
// List<float> outputList = model.Evaluate(inputs, "ol.z", 10);
// ... or we can preallocate the structure and pass it in (multiple output layers)
outputs = GetDictionary("ol.z", 10, 1);
model.Evaluate(inputs, outputs);
}
Console.WriteLine("--- Output results ---");
foreach (var item in outputs)
{
Console.WriteLine("Output layer: {0}", item.Key);
foreach (var entry in item.Value)
{
Console.WriteLine(entry);
}
}
}
catch (CNTKException ex)
{
Console.WriteLine("Error: {0}\nNative CallStack: {1}\n Inner Exception: {2}", ex.Message, ex.NativeCallStack, ex.InnerException != null ? ex.InnerException.Message : "No Inner Exception");
}
Console.WriteLine("Press <Enter> to terminate.");
Console.ReadLine();
}
