Release v0.110.1.

src/TensorFlowNET.Core/APIs/tf.array.cs

@@ -91,8 +91,7 @@ namespace Tensorflow
                     return identity(values.First(), name: scope);
                 });
             }
-
-            return gen_array_ops.concat_v2(values.ToArray(), ops.convert_to_tensor(axis), name: name);
+            return array_ops.concat(values.ToArray(), axis, name: name);
         }
 
         /// <summary>

src/TensorFlowNET.Core/Operations/array_ops.cs

@@ -892,23 +892,9 @@ namespace Tensorflow
         /// <param name="axis"></param>
         /// <param name="name"></param>
         /// <returns></returns>
-        public static Tensor concat(Tensor[] values, int axis, string name = "concat")
-        {
-            if (values.Length == 1) // Degenerate case of one tensor.
-            {
-                return tf_with(ops.name_scope(name), scope =>
-                {
-                    var t = ops.convert_to_tensor(axis, name: "concat_dim", dtype: TF_DataType.TF_INT32);
-                    return identity(values[0], name: scope);
-                });
-            }
-
-            return gen_array_ops.concat_v2(values, ops.convert_to_tensor(axis), name: name);
-        }
-
         public static Tensor concat(Tensor[] values, Tensor axis, string name = "concat")
         {
-            return gen_array_ops.concat_v2(values, axis, name: name);
+            return tf.Context.ExecuteOp("ConcatV2", name, new ExecuteOpArgs(values, axis));
         }
 
         public static Tensor concat(object[] values, int axis, string name = "concat")

src/TensorFlowNET.Core/Operations/math_ops.cs

@@ -791,10 +791,7 @@ namespace Tensorflow
             bool adjoint_a = false, bool adjoint_b = false,
             bool a_is_sparse = false, bool b_is_sparse = false,
             string name = null)
-        {
-            Tensor result = null;
-
-            tf_with(ops.name_scope(name, "MatMul", new Tensor[] { a, b }), scope =>
+            => tf_with(ops.name_scope(name, "MatMul", (a, b)), scope =>
             {
                 name = scope;
 
@@ -815,12 +812,10 @@ namespace Tensorflow
                     transpose_b = true;
                 }
 
-                result = gen_math_ops.mat_mul(a, b, transpose_a, transpose_b, name);
+                return tf.Context.ExecuteOp("MatMul", name, new ExecuteOpArgs(a, b)
+                    .SetAttributes(new { transpose_a, transpose_b }));
             });
 
-            return result;
-        }
-
         public static Tensor batch_matmul(Tensor x, Tensor y,
             bool adj_x = false, bool adj_y = false,
             string name = null)

src/TensorFlowNET.Core/Tensorflow.Binding.csproj

@@ -5,7 +5,7 @@
     <AssemblyName>Tensorflow.Binding</AssemblyName>
     <RootNamespace>Tensorflow</RootNamespace>
     <TargetTensorFlow>2.10.0</TargetTensorFlow>
-    <Version>0.110.0</Version>
+    <Version>0.110.1</Version>
     <LangVersion>10.0</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>0.110.0.0</AssemblyVersion>
+    <AssemblyVersion>0.110.1.0</AssemblyVersion>
     <PackageReleaseNotes>
 		tf.net 0.110.x and above are based on tensorflow native 2.11.0
 		* RNN, LSTM works.
@@ -42,7 +42,7 @@ https://tensorflownet.readthedocs.io</Description>
 		tf.net 0.10x.x aligns with TensorFlow v2.10.x native library.
 		tf.net 0.11x.x aligns with TensorFlow v2.11.x native library.
 	</PackageReleaseNotes>
-    <FileVersion>0.110.0.0</FileVersion>
+    <FileVersion>0.110.1.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <PackageOutputPath>packages</PackageOutputPath>

src/TensorFlowNET.Core/ops.cs

@@ -138,9 +138,15 @@ namespace Tensorflow
                 else
                 {
                     var graph = get_default_graph();
+                    if (graph is FuncGraph funcGraph)
+                    {
+                        return funcGraph.capture(eager_tensor, name: name);
+                    }
                     if (!graph.building_function)
+                    {
                         throw new RuntimeError("Attempting to capture an EagerTensor without building a function.");
-                    return (graph as FuncGraph).capture(eager_tensor, name: name);
+                        // return eager_tensor.AsPlaceholder(name: name);
+                    }
                 }
             }
 

src/TensorFlowNET.Keras/Tensorflow.Keras.csproj

@@ -7,7 +7,7 @@
     <Nullable>enable</Nullable>
     <RootNamespace>Tensorflow.Keras</RootNamespace>
     <Platforms>AnyCPU;x64</Platforms>
-    <Version>0.11.0</Version>
+    <Version>0.11.1</Version>
     <Authors>Haiping Chen</Authors>
     <Product>Keras for .NET</Product>
     <Copyright>Apache 2.0, Haiping Chen 2023</Copyright>
@@ -38,8 +38,8 @@ 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>0.11.0.0</AssemblyVersion>
-    <FileVersion>0.11.0.0</FileVersion>
+    <AssemblyVersion>0.11.1.0</AssemblyVersion>
+    <FileVersion>0.11.1.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <Configurations>Debug;Release;GPU</Configurations>
   </PropertyGroup>