public void CanCreateJob()
{
using (var context = FluentMockContext.Start(GetType().FullName))
{
string groupName = SdkContext.RandomResourceName("rg", 10);
string clusterName = SdkContext.RandomResourceName("cluster", 15);
string userName = "******";
var manager = TestHelper.CreateBatchAIManager();
IBatchAICluster cluster = manager.BatchAIClusters.Define(clusterName)
.WithRegion(REGION)
.WithNewResourceGroup(groupName)
.WithVMSize(VirtualMachineSizeTypes.StandardD1V2.Value)
.WithUserName(userName)
.WithPassword("MyPassword")
.WithAutoScale(1, 1)
.Create();
Assert.Equal(AllocationState.Steady, cluster.AllocationState);
Assert.Equal(userName, cluster.AdminUserName);
IBatchAIJob job = manager.BatchAIJobs.Define("myJob")
.WithExistingClusterId(cluster.Id)
.WithNodeCount(1)
.WithStdOutErrPathPrefix("$AZ_BATCHAI_MOUNT_ROOT/azurefileshare")
.DefineCognitiveToolkit()
.WithPythonScriptFile("$AZ_BATCHAI_INPUT_SAMPLE/ConvNet_MNIST.py")
.WithCommandLineArgs("$AZ_BATCHAI_INPUT_SAMPLE $AZ_BATCHAI_OUTPUT_MODEL")
.Attach()
.WithInputDirectory("SAMPLE", "$AZ_BATCHAI_MOUNT_ROOT/azurefileshare/mnistcntksample")
.WithOutputDirectory("MODEL", "$AZ_BATCHAI_MOUNT_ROOT/azurefileshare/model")
.DefineOutputDirectory("OUTPUT")
.WithPathPrefix("$AZ_BATCHAI_MOUNT_ROOT/azurefileshare/output")
.WithCreateNew(true)
.WithPathSuffix("suffix")
.Attach()
.WithContainerImage("microsoft/cntk:2.1-gpu-python3.5-cuda8.0-cudnn6.0")
.Create();
Assert.Equal(groupName, job.ResourceGroupName);
Assert.Equal(2, job.OutputDirectories.Count);
OutputDirectory outputDirectory = null;
foreach (OutputDirectory directory in job.OutputDirectories)
{
if ("OUTPUT".Equals(directory.Id.ToUpper()))
{
outputDirectory = directory;
break;
}
}
Assert.NotNull(outputDirectory);
Assert.Equal("suffix", outputDirectory.PathSuffix.ToLower());
job.Refresh();
Assert.Equal(groupName, job.ResourceGroupName);
manager.ResourceManager.ResourceGroups.BeginDeleteByName(groupName);
}
}
public void CanCreateJob()
{
using (var context = FluentMockContext.Start(GetType().FullName))
{
string groupName = SdkContext.RandomResourceName("rg", 10);
string clusterName = SdkContext.RandomResourceName("cluster", 15);
string saName = SdkContext.RandomResourceName("sa", 15);
string shareName = "myfileshare";
string shareMountPath = "azurefileshare";
string blobFileSystemPath = "myblobsystem";
string containerName = "mycontainer";
string userName = "******";
string storageAccountKey = "dummy_key";
string fileShareUri = "dummy_uri";
var manager = TestHelper.CreateBatchAIManager();
IBatchAICluster cluster = manager.BatchAIClusters.Define(clusterName)
.WithRegion(REGION)
.WithNewResourceGroup(groupName)
.WithVMSize(VirtualMachineSizeTypes.StandardD1V2.Value)
.WithUserName(userName)
.WithPassword("MyPassword")
.WithAutoScale(1, 1)
.Create();
Assert.Equal(AllocationState.Steady, cluster.AllocationState);
Assert.Equal(userName, cluster.AdminUserName);
IBatchAIJob job = cluster.Jobs.Define("myJob")
.WithRegion(REGION)
.WithNodeCount(1)
.WithStdOutErrPathPrefix("$AZ_BATCHAI_MOUNT_ROOT/azurefileshare")
.DefineCognitiveToolkit()
.WithPythonScriptFile("$AZ_BATCHAI_INPUT_SAMPLE/ConvNet_MNIST.py")
.WithCommandLineArgs("$AZ_BATCHAI_INPUT_SAMPLE $AZ_BATCHAI_OUTPUT_MODEL")
.Attach()
.WithInputDirectory("SAMPLE", "$AZ_BATCHAI_MOUNT_ROOT/azurefileshare/mnistcntksample")
.WithOutputDirectory("MODEL", "$AZ_BATCHAI_MOUNT_ROOT/azurefileshare/model")
.WithContainerImage("microsoft/cntk:2.1-gpu-python3.5-cuda8.0-cudnn6.0")
.Create();
Assert.Equal(groupName, job.ResourceGroupName);
job.Refresh();
Assert.Equal(groupName, job.ResourceGroupName);
manager.ResourceManager.ResourceGroups.DeleteByName(groupName);
}
}
/**
* Azure Batch AI sample.
* - Create Storage account and Azure file share
* - Upload sample data to Azure file share
* - Create a workspace and experiment
* - Create Batch AI cluster that uses Azure file share to host the training data and scripts for the learning job
* - Create Microsoft Cognitive Toolkit job to run on the cluster
* - Wait for job to complete
* - Get output files
*/
public static void RunSample(IAzure azure)
{
string saName = SdkContext.RandomResourceName("sa", 10);
string rgName = SdkContext.RandomResourceName("rg", 10);
string workspaceName = SdkContext.RandomResourceName("ws", 10);
string experimentName = SdkContext.RandomResourceName("exp", 10);
string sampleDataPath = Environment.GetEnvironmentVariable("SAMPLE_DATA_PATH");
Region region = Region.USWest2;
string shareName = SdkContext.RandomResourceName("fs", 20);
string clusterName = SdkContext.RandomResourceName("cluster", 15);
string userName = Utilities.CreateUsername();
string sharePath = "mnistcntksample";
try
{
//=============================================================
// Create a new storage account and an Azure file share resource
Utilities.Log("Creating a storage account...");
IStorageAccount storageAccount = azure.StorageAccounts.Define(saName)
.WithRegion(region)
.WithNewResourceGroup(rgName)
.Create();
Utilities.Log("Created storage account.");
Utilities.PrintStorageAccount(storageAccount);
StorageAccountKey storageAccountKey = storageAccount.GetKeys().First();
Utilities.Log("Creating Azure File share...");
var cloudFileShare = CloudStorageAccount.Parse($"DefaultEndpointsProtocol=https;AccountName={saName};AccountKey={storageAccountKey.Value};EndpointSuffix=core.windows.net")
.CreateCloudFileClient()
.GetShareReference(shareName);
cloudFileShare.CreateAsync().GetAwaiter().GetResult();
Utilities.Log("Created Azure File share.");
//=============================================================
// Upload sample data to Azure file share
//Get a reference to the root directory for the share.
CloudFileDirectory rootDir = cloudFileShare.GetRootDirectoryReference();
//Get a reference to the sampledir directory
Utilities.Log("Creating directory and uploading data files...");
CloudFileDirectory sampleDir = rootDir.GetDirectoryReference(sharePath);
sampleDir.CreateAsync().GetAwaiter().GetResult();
rootDir.GetFileReference("Train-28x28_cntk_text.txt").UploadFromFileAsync(sampleDataPath + "/Train-28x28_cntk_text.txt").GetAwaiter().GetResult();
rootDir.GetFileReference("Test-28x28_cntk_text.txt").UploadFromFileAsync(sampleDataPath + "/Test-28x28_cntk_text.txt").GetAwaiter().GetResult();
rootDir.GetFileReference("ConvNet_MNIST.py").UploadFromFileAsync(sampleDataPath + "/ConvNet_MNIST.py").GetAwaiter().GetResult();
Utilities.Log("Data files uploaded.");
//=============================================================
// Create a workspace and experiment
IBatchAIWorkspace workspace = azure.BatchAIWorkspaces.Define(workspaceName)
.WithRegion(region)
.WithNewResourceGroup(rgName)
.Create();
IBatchAIExperiment experiment = workspace.CreateExperiment(experimentName);
//=============================================================
// Create Batch AI cluster that uses Azure file share to host the training data and scripts for the learning job
Utilities.Log("Creating Batch AI cluster...");
IBatchAICluster cluster = workspace.Clusters.Define(clusterName)
.WithVMSize(VirtualMachineSizeTypes.StandardNC6.Value)
.WithUserName(userName)
.WithPassword("MyPassword")
.WithAutoScale(0, 2)
.DefineAzureFileShare()
.WithStorageAccountName(saName)
.WithAzureFileUrl(cloudFileShare.Uri.ToString())
.WithRelativeMountPath("azurefileshare")
.WithAccountKey(storageAccountKey.Value)
.Attach()
.Create();
Utilities.Log("Created Batch AI cluster.");
Utilities.Print(cluster);
// =============================================================
// Create Microsoft Cognitive Toolkit job to run on the cluster
Utilities.Log("Creating Batch AI job...");
IBatchAIJob job = experiment.Jobs.Define("myJob")
.WithExistingCluster(cluster)
.WithNodeCount(1)
.WithStdOutErrPathPrefix("$AZ_BATCHAI_MOUNT_ROOT/azurefileshare")
.DefineCognitiveToolkit()
.WithPythonScriptFile("$AZ_BATCHAI_MOUNT_ROOT/azurefileshare/ConvNet_MNIST.py")
.WithCommandLineArgs("$AZ_BATCHAI_MOUNT_ROOT/azurefileshare $AZ_BATCHAI_OUTPUT_MODEL")
.Attach()
.WithOutputDirectory("MODEL", "$AZ_BATCHAI_MOUNT_ROOT/azurefileshare/model")
.WithContainerImage("microsoft/cntk:2.1-gpu-python3.5-cuda8.0-cudnn6.0")
.Create();
Utilities.Log("Created Batch AI job.");
Utilities.Print(job);
// =============================================================
// Wait for job results
// Wait for job to start running
Utilities.Log("Waiting for Batch AI job to start running...");
while (ExecutionState.Queued.Equals(job.ExecutionState))
{
SdkContext.DelayProvider.Delay(5000);
job.Refresh();
}
// Wait for job to complete and job output to become available
Utilities.Log("Waiting for Batch AI job to complete...");
while (!(ExecutionState.Succeeded.Equals(job.ExecutionState) || ExecutionState.Failed.Equals(job.ExecutionState)))
{
SdkContext.DelayProvider.Delay(5000);
job.Refresh();
}
// =============================================================
// Get output files
// Print stdout and stderr
foreach (var outputFile in job.ListFiles("stdouterr"))
{
Utilities.Log(Utilities.CheckAddress(outputFile.DownloadUrl));
}
// List model output files
foreach (var outputFile in job.ListFiles("MODEL"))
{
Utilities.Log(outputFile.DownloadUrl);
}
}
finally
{
try
{
Utilities.Log("Deleting Resource Group: " + rgName);
azure.ResourceGroups.BeginDeleteByName(rgName);
Utilities.Log("Deleted Resource Group: " + rgName);
}
catch (Exception)
{
Utilities.Log("Did not create any resources in Azure. No clean up is necessary");
}
}
}