EagerTensor from EagerTensor

src/TensorFlowNET.Core/Eager/EagerTensor.Creation.cs

@@ -7,6 +7,11 @@ namespace Tensorflow.Eager
 {
     public partial class EagerTensor
     {
+        public EagerTensor(SafeTensorHandle handle)
+        {
+            NewEagerTensorHandle(handle);
+        }
+
         public EagerTensor(SafeTensorHandleHandle handle)
         {
             _id = ops.uid();

src/TensorFlowNET.Core/Graphs/Graph.cs

@@ -127,7 +127,7 @@ namespace Tensorflow
             _nodes_by_id = new Dictionary<int, ITensorOrOperation>();
             _nodes_by_name = new Dictionary<string, ITensorOrOperation>();
             _names_in_use = new Dictionary<string, int>();
-            _graph_key = $"grap-key-{ops.uid()}/";
+            _graph_key = $"graph-{ops.GraphUniqueId()}/";
         }
 
         public Graph(IntPtr handle)
@@ -136,7 +136,7 @@ namespace Tensorflow
             _nodes_by_id = new Dictionary<int, ITensorOrOperation>();
             _nodes_by_name = new Dictionary<string, ITensorOrOperation>();
             _names_in_use = new Dictionary<string, int>();
-            _graph_key = $"grap-key-{ops.uid()}/";
+            _graph_key = $"grap-{ops.GraphUniqueId()}/";
         }
 
         public ITensorOrOperation as_graph_element(object obj, bool allow_tensor = true, bool allow_operation = true)

src/TensorFlowNET.Core/Numpy/NDArray.Creation.cs

@@ -56,12 +56,8 @@ namespace Tensorflow.NumPy
 
         void NewEagerTensorHandle()
         {
-            if(_handle is not null)
-            {
-                _id = ops.uid();
-                _eagerTensorHandle = c_api.TFE_NewTensorHandle(_handle, tf.Status.Handle);
-                tf.Status.Check(true);
-            }
+            if (_handle is not null)
+                _eagerTensorHandle = new EagerTensor(_handle).EagerTensorHandle;
         }
     }
 }

src/TensorFlowNET.Core/Numpy/NDArray.cs

@@ -28,9 +28,6 @@ namespace Tensorflow.NumPy
     {
         public IntPtr data => TensorDataPointer;
 
-        public ValueType GetValue(params int[] indices)
-            => throw new NotImplementedException("");
-
         [AutoNumPy]
         public NDArray reshape(Shape newshape) => new NDArray(tf.reshape(this, newshape));
         public NDArray astype(TF_DataType dtype) => new NDArray(math_ops.cast(this, dtype));

src/TensorFlowNET.Core/Tensorflow.Binding.csproj

@@ -5,7 +5,7 @@
     <AssemblyName>TensorFlow.NET</AssemblyName>
     <RootNamespace>Tensorflow</RootNamespace>
     <TargetTensorFlow>2.2.0</TargetTensorFlow>
-    <Version>0.60.2</Version>
+    <Version>0.60.3</Version>
     <LangVersion>9.0</LangVersion>
     <Nullable>enable</Nullable>
     <Authors>Haiping Chen, Meinrad Recheis, Eli Belash</Authors>
@@ -20,7 +20,7 @@
     <Description>Google's TensorFlow full binding in .NET Standard.
 Building, training and infering deep learning models.
 https://tensorflownet.readthedocs.io</Description>
-    <AssemblyVersion>0.60.2.0</AssemblyVersion>
+    <AssemblyVersion>0.60.3.0</AssemblyVersion>
     <PackageReleaseNotes>tf.net 0.60.x and above are based on tensorflow native 2.6.0
 
 * Eager Mode is added finally.
@@ -35,7 +35,7 @@ Keras API is a separate package released as TensorFlow.Keras.
 tf.net 0.4x.x aligns with TensorFlow v2.4.1 native library.
 tf.net 0.5x.x aligns with TensorFlow v2.5.x native library.
 tf.net 0.6x.x aligns with TensorFlow v2.6.x native library.</PackageReleaseNotes>
-    <FileVersion>0.60.2.0</FileVersion>
+    <FileVersion>0.60.3.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <SignAssembly>true</SignAssembly>

src/TensorFlowNET.Core/ops.cs

@@ -366,6 +366,12 @@ namespace Tensorflow
             return Interlocked.Increment(ref uid_number);
         }
 
+        static int graph_uid_number = -1;
+        public static int GraphUniqueId()
+        {
+            return Interlocked.Increment(ref graph_uid_number);
+        }
+
         static int uid_number_for_function = 0;
         public static int uid_function()
             => Interlocked.Increment(ref uid_number_for_function);

src/TensorFlowNET.Keras/Tensorflow.Keras.csproj

@@ -7,7 +7,7 @@
     <Nullable>enable</Nullable>
     <RootNamespace>Tensorflow.Keras</RootNamespace>
     <Platforms>AnyCPU;x64</Platforms>
-    <Version>0.6.2</Version>
+    <Version>0.6.3</Version>
     <Authors>Haiping Chen</Authors>
     <Product>Keras for .NET</Product>
     <Copyright>Apache 2.0, Haiping Chen 2021</Copyright>
@@ -37,8 +37,8 @@ Keras is an API designed for human beings, not machines. Keras follows best prac
     <RepositoryType>Git</RepositoryType>
     <SignAssembly>true</SignAssembly>
     <AssemblyOriginatorKeyFile>Open.snk</AssemblyOriginatorKeyFile>
-    <AssemblyVersion>0.6.2.0</AssemblyVersion>
-    <FileVersion>0.6.2.0</FileVersion>
+    <AssemblyVersion>0.6.3.0</AssemblyVersion>
+    <FileVersion>0.6.3.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
   </PropertyGroup>