update tensorflow.net to 0.20.0

build/Dependencies.props

@@ -22,9 +22,9 @@
     <SystemDrawingCommonPackageVersion>4.5.0</SystemDrawingCommonPackageVersion>
     <SystemIOFileSystemAccessControl>4.5.0</SystemIOFileSystemAccessControl>
     <SystemSecurityPrincipalWindows>4.5.0</SystemSecurityPrincipalWindows>
-    <TensorFlowVersion>1.14.0</TensorFlowVersion>
+    <TensorFlowVersion>2.3</TensorFlowVersion>
     <TensorFlowMajorVersion>1</TensorFlowMajorVersion>
-    <TensorflowDotNETVersion>0.11.8.1</TensorflowDotNETVersion>
+    <TensorflowDotNETVersion>0.20.0</TensorflowDotNETVersion>
   </PropertyGroup>
 
   <!-- Model Builder Dependencies -->

src/Microsoft.ML.TensorFlow/TensorTypeExtensions.cs

@@ -5,6 +5,7 @@
 using System;
 using Microsoft.ML.Internal.Utilities;
 using Tensorflow;
+using Utils = Microsoft.ML.Internal.Utilities.Utils;
 
 namespace Microsoft.ML.TensorFlow
 {

src/Microsoft.ML.TensorFlow/TensorflowTransform.cs

@@ -20,6 +20,7 @@
 using Tensorflow;
 using static Microsoft.ML.TensorFlow.TensorFlowUtils;
 using static Tensorflow.Binding;
+using Utils = Microsoft.ML.Internal.Utilities.Utils;
 
 [assembly: LoadableClass(TensorFlowTransformer.Summary, typeof(IDataTransform), typeof(TensorFlowTransformer),
     typeof(TensorFlowEstimator.Options), typeof(SignatureDataTransform), TensorFlowTransformer.UserName, TensorFlowTransformer.ShortName)]
@@ -344,15 +345,15 @@ internal static TensorShape GetTensorShape(TF_Output output, Graph graph, Status
                 new ObjectDisposedException(nameof(graph));
 
             var cstatus = status == null ? new Status() : status;
-            var n = c_api.TF_GraphGetTensorNumDims(graph, output, cstatus);
+            var n = c_api.TF_GraphGetTensorNumDims(graph, output, cstatus.Handle);
 
             cstatus.Check();
 
             if (n == -1)
                 return new TensorShape(new int[0]);
 
             var dims = new long[n];
-            c_api.TF_GraphGetTensorShape(graph, output, dims, dims.Length, cstatus);
+            c_api.TF_GraphGetTensorShape(graph, output, dims, dims.Length, cstatus.Handle);
             cstatus.Check();
             return new TensorShape(dims.Select(x => (int)x).ToArray());
         }
@@ -430,7 +431,7 @@ private protected override void SaveModel(ModelSaveContext ctx)
                 var buffer = Session.graph.ToGraphDef(status);
                 ctx.SaveBinaryStream("TFModel", w =>
                 {
-                    w.WriteByteArray(buffer.MemoryBlock.ToArray());
+                    w.WriteByteArray(buffer.DangerousMemoryBlock.ToArray());
                 });
             }
 
@@ -837,7 +838,7 @@ private Tensor CastDataAndReturnAsTensor(T[] data)
                         bytes[i] = Encoding.UTF8.GetBytes(((ReadOnlyMemory<char>)(object)data[i]).ToArray());
                     }
 
-                    return new Tensor(bytes, _tfShape.dims.Select(x => (long)x).ToArray());
+                    return new Tensor(new NDArray(bytes, _tfShape));
                 }
 
                 return new Tensor(new NDArray(data, _tfShape));

src/Microsoft.ML.TensorFlow/TensorflowUtils.cs

@@ -14,6 +14,7 @@
 using Microsoft.ML.Transforms;
 using Tensorflow;
 using static Tensorflow.Binding;
+using Utils = Microsoft.ML.Internal.Utilities.Utils;
 
 namespace Microsoft.ML.TensorFlow
 {
@@ -491,7 +492,7 @@ public Tensor[] Run()
                     {
                         c_api.TF_SessionRun(_session, null, _inputs, _inputValues,
                              _inputs.Length, _outputs, _outputValues, _outputValues.Length, _operations,
-                            _operations.Length, IntPtr.Zero, _status);
+                            _operations.Length, IntPtr.Zero, _status.Handle);
                     }
                     catch (Exception ex)
                     {