static void Main(string[] args)
{
Console.WriteLine("======== Evaluate model using C# CPUOnly Build ========");
// Evalaute a single image.
CNTKLibraryManagedExamples.EvaluationSingleImage(DeviceDescriptor.CPUDevice);
// Evaluate a batch of images
CNTKLibraryManagedExamples.EvaluationBatchOfImages(DeviceDescriptor.CPUDevice);
// Evaluate an image asynchronously
Task evalTask = CNTKLibraryManagedExamples.EvaluationSingleImageAsync(DeviceDescriptor.CPUDevice);
evalTask.Wait();
// Evaluate multiple sample requests in parallel
CNTKLibraryManagedExamples.EvaluateMultipleImagesInParallelAsync(DeviceDescriptor.CPUDevice).Wait();
// Evaluate a single sequence using one-hot vector input.
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingOneHot(DeviceDescriptor.CPUDevice);
// Evalaute a batch of variable length sequences using one-hot vector input.
CNTKLibraryManagedExamples.EvaluationBatchOfSequencesUsingOneHot(DeviceDescriptor.CPUDevice);
// Evaluate a sequence using sparse input.
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingSparse(DeviceDescriptor.CPUDevice);
// Load model from memory buffer.
CNTKLibraryManagedExamples.LoadModelFromMemory(DeviceDescriptor.CPUDevice);
Console.WriteLine("======== Evaluation completes. ========");
}
static void Main(string[] args)
{
Console.WriteLine("======== Evaluate model using C# GPU Build ========");
Console.WriteLine(" ====== Run evaluation on CPU =====");
// Evaluate a single image.
CNTKLibraryManagedExamples.EvaluationSingleImage(DeviceDescriptor.CPUDevice);
// Evaluate a batch of images.
CNTKLibraryManagedExamples.EvaluationBatchOfImages(DeviceDescriptor.CPUDevice);
// Evaluate multiple sample requests in parallel.
CNTKLibraryManagedExamples.EvaluateMultipleImagesInParallelAsync(DeviceDescriptor.CPUDevice).Wait();
// Evaluate an image asynchronously.
Task evalTask = CNTKLibraryManagedExamples.EvaluationSingleImageAsync(DeviceDescriptor.CPUDevice);
evalTask.Wait();
// Evaluate a single sequence using one-hot vector input.
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingOneHot(DeviceDescriptor.CPUDevice);
// Evaluate a batch of variable length sequences with one-hot vector input.
CNTKLibraryManagedExamples.EvaluationBatchOfSequencesUsingOneHot(DeviceDescriptor.CPUDevice);
// Evaluate a sequence using sparse input.
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingSparse(DeviceDescriptor.CPUDevice);
// Load model from memory buffer.
CNTKLibraryManagedExamples.LoadModelFromMemory(DeviceDescriptor.CPUDevice);
// Use GPU for evaluation.
Console.WriteLine(" ====== Run evaluation on GPU =====");
CNTKLibraryManagedExamples.EvaluationSingleImage(DeviceDescriptor.GPUDevice(0));
CNTKLibraryManagedExamples.EvaluationBatchOfImages(DeviceDescriptor.GPUDevice(0));
// Evaluate an image asynchronously
evalTask = CNTKLibraryManagedExamples.EvaluationSingleImageAsync(DeviceDescriptor.GPUDevice(0));
evalTask.Wait();
CNTKLibraryManagedExamples.EvaluateMultipleImagesInParallelAsync(DeviceDescriptor.GPUDevice(0)).Wait();
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingOneHot(DeviceDescriptor.GPUDevice(0));
CNTKLibraryManagedExamples.EvaluationBatchOfSequencesUsingOneHot(DeviceDescriptor.GPUDevice(0));
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingSparse(DeviceDescriptor.GPUDevice(0));
CNTKLibraryManagedExamples.LoadModelFromMemory(DeviceDescriptor.GPUDevice(0));
// Evaluate intermediate layer.
CNTKLibraryManagedExamples.EvaluateIntermediateLayer(DeviceDescriptor.GPUDevice(0));
// Evaluate combined outputs.
CNTKLibraryManagedExamples.EvaluateCombinedOutputs(DeviceDescriptor.GPUDevice(0));
Console.WriteLine("======== Evaluation completes. ========");
}
static void Main(string[] args)
{
// Todo: move to a separate unit test.
Console.WriteLine("Test Utils");
int maxThreads = Utils.GetMaxNumCPUThreads();
Utils.SetMaxNumCPUThreads(2);
Console.WriteLine("MaxNumCPUThreads: before: " + maxThreads + ", after " + Utils.GetMaxNumCPUThreads());
Utils.SetMaxNumCPUThreads(maxThreads);
Console.WriteLine("reset MaxNumCPuThreads to " + Utils.GetMaxNumCPUThreads());
var level = Utils.GetTraceLevel();
Utils.SetTraceLevel(TraceLevel.Info);
Console.WriteLine("TraceLevel: before: " + level + ", after " + Utils.GetTraceLevel());
Utils.SetTraceLevel(level);
Console.WriteLine("reset TraceLevel to " + Utils.GetTraceLevel());
Console.WriteLine(Utils.DataTypeName(DataType.Float));
Console.WriteLine(Utils.DataTypeSize(DataType.Double));
Console.WriteLine(Utils.DeviceKindName(DeviceDescriptor.CPUDevice.Type));
Console.WriteLine(Utils.DeviceKindName(DeviceKind.GPU));
Console.WriteLine(Utils.IsSparseStorageFormat(StorageFormat.Dense));
Console.WriteLine(Utils.IsSparseStorageFormat(StorageFormat.SparseCSC));
Console.WriteLine(Utils.IsSparseStorageFormat(StorageFormat.SparseBlockCol));
Console.WriteLine(Utils.VariableKindName(VariableKind.Constant));
Console.WriteLine(Utils.VariableKindName(VariableKind.Placeholder));
Console.WriteLine(Utils.VariableKindName(VariableKind.Input));
Console.WriteLine(Utils.VariableKindName(VariableKind.Output));
Console.WriteLine(Utils.VariableKindName(VariableKind.Parameter));
#if CPUONLY
Console.WriteLine("======== Evaluate model on CPU using CPUOnly build ========");
#else
Console.WriteLine("======== Evaluate model on CPU using GPU build ========");
#endif
if (args.Length >= 1)
{
Console.WriteLine($"-------- running with test data in {args[0]} --------");
CNTKLibraryManagedExamples.ExampleTestDataDir = args[0];
}
CNTKLibraryManagedExamples.Setup();
if (ShouldRunOnCpu())
{
var device = DeviceDescriptor.CPUDevice;
CNTKLibraryManagedExamples.EvaluationSingleImage(device);
// Run memory tests.
MemoryTests.ValidateObjectReferences(device);
CNTKLibraryManagedExamples.EvaluationBatchOfImages(device);
MemoryTests.WriteOutputs();
CNTKLibraryManagedExamples.EvaluateMultipleImagesInParallelAsync(device).Wait();
// Run memory tests again.
MemoryTests.ValidateObjectReferences(device);
Task evalTask = CNTKLibraryManagedExamples.EvaluationSingleImageAsync(device);
evalTask.Wait();
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingOneHot(device);
CNTKLibraryManagedExamples.EvaluationBatchOfSequencesUsingOneHot(device);
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingSparse(device);
// It is sufficient to test loading model from memory buffer only on CPU.
CNTKLibraryManagedExamples.LoadModelFromMemory(device);
MemoryTests.WriteOutputs();
MemoryTests.ValueCopyToSparseCSCTest <float>(device);
MemoryTests.ValueCopyToSparseCSCTest <double>(device);
CNTKLibraryManagedExamples.EvaluateIntermediateLayer(device);
CNTKLibraryManagedExamples.EvaluateCombinedOutputs(device);
}
if (ShouldRunOnGpu())
{
Console.WriteLine(" ====== Evaluate model on GPU =====");
var device = DeviceDescriptor.GPUDevice(0);
// Run memory tests.
MemoryTests.ValidateObjectReferences(device);
CNTKLibraryManagedExamples.EvaluationSingleImage(device);
CNTKLibraryManagedExamples.EvaluationBatchOfImages(device);
CNTKLibraryManagedExamples.EvaluateMultipleImagesInParallelAsync(device).Wait();
// Run memory tests.
MemoryTests.ValidateObjectReferences(device);
Task evalTask = CNTKLibraryManagedExamples.EvaluationSingleImageAsync(device);
evalTask.Wait();
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingOneHot(device);
CNTKLibraryManagedExamples.EvaluationBatchOfSequencesUsingOneHot(device);
CNTKLibraryManagedExamples.EvaluationSingleSequenceUsingSparse(device);
// Run memory tests again.
MemoryTests.WriteOutputs();
MemoryTests.ValueCopyToSparseCSCTest <float>(device);
MemoryTests.ValueCopyToSparseCSCTest <double>(device);
CNTKLibraryManagedExamples.EvaluateIntermediateLayer(device);
CNTKLibraryManagedExamples.EvaluateCombinedOutputs(device);
}
Console.WriteLine("======== Evaluation completes. ========");
}