Segmentation Fault

**System Information (please complete the following information):**
- OS & Version: Linux 20.04.5 LTS (Focal Fossa)
- Microsoft.ML Version: 3.0.0-preview.23266.6
- Microsoft.ML.TimeSeries Version: 3.0.0-preview.23266.6
- .NET Version: .NET 6.0

**Describe the bug**
The C# application crashes giving a **segmentation fault (core dumped)** error.
The kernel logs show this thing, "**motadata992 kernel: [2321935.184101] aiopsengine[1265920]: segfault at 10 ip 00007f00fb38143d sp 00007f014f4fc0a8 error 4 in libMklImports.so[7f00fa469000+5888000]**".

**To Reproduce**
No reproduce steps.

**Expected behavior**
The C# application should run without crashing.

**Screenshots, Code, Sample Projects**

**Additional context**
Below is the Anomaly Detector Code which uses SR-CNN approach provided by ML-Net to detect anomalies.

`using System.Text;
using Microsoft.ML;
using Microsoft.ML.TimeSeries;

namespace ML.Tasks;

public class AnomalyDetector
{
private readonly MLContext _mlContext;

public AnomalyDetector(MLContext mlContext)
{
_mlContext = mlContext;
}

public List? Predict(IDataView dataView, StringBuilder errors)
{
try
{
var period = Util.CalculatePeriodicity(_mlContext, dataView, nameof(Input.Value));

var configOptions = new SrCnnEntireAnomalyDetectorOptions
{
DetectMode = SrCnnDetectMode.AnomalyAndMargin,
};

if (period != Constants.NotAvailable)
{
configOptions.Period = period;
}

return _mlContext.Data.CreateEnumerable(
_mlContext.AnomalyDetection.DetectEntireAnomalyBySrCnn(dataView, nameof(Prediction.Output),
nameof(Input.Value),
options: configOptions), false).ToList();
}
catch (Exception e)
{
Bootstrap.Logger.Error(e);

errors.Append($"error {e.Message} occurred while detecting anomalies, stack: {e.StackTrace}");
}

return null;
}

public class Prediction
{
public double[] Output { get; set; } = null!;
}

public class Input
{
public double Value { get; set; }
}
}`