Fix math_ops.max and min.

src/TensorFlowNET.Core/Operations/gen_math_ops.cs

@@ -480,26 +480,27 @@ namespace Tensorflow
             return _op.outputs[0];
         }
 
-        /// <summary>
-        /// Subroutine for Min or Max functions. See _min and _max
-        /// </summary>
-        private static Tensor MinOrMax<Tx, Ty>(Tx input, Ty axis, string methodName, bool keep_dims = false, string name = null)
-            => tf.Context.ExecuteOp(methodName, name, new ExecuteOpArgs(input, axis)
+        public static Tensor _max<Tx, Ty>(Tx input, Ty axis, bool keep_dims = false, string name = null)
+            => tf.Context.ExecuteOp("Max", name, new ExecuteOpArgs(input, axis)
             {
                 GetGradientAttrs = (op) => new
                 {
                     T = op.get_attr<TF_DataType>("T"),
-                    align_corners = op.get_attr<bool>("align_corners"),
-                    half_pixel_centers = op.get_attr<bool>("half_pixel_centers")
+                    keep_dims = op.get_attr<bool>("keep_dims"),
+                    Tidx = op.get_attr<TF_DataType>("Tidx")
                 }
             }.SetAttributes(new { keep_dims, reduction_indices = axis }));
 
-        public static Tensor _max<Tx, Ty>(Tx input, Ty axis, bool keep_dims = false, string name = null)
-            => MinOrMax(input, axis, "Max", keep_dims: keep_dims, name: name);
-
         public static Tensor _min<Tx, Ty>(Tx input, Ty axis, bool keep_dims = false, string name = null)
-            => MinOrMax(input, axis, "Min", keep_dims: keep_dims, name: name);
-
+            => tf.Context.ExecuteOp("Min", name, new ExecuteOpArgs(input, axis)
+            {
+                GetGradientAttrs = (op) => new
+                {
+                    T = op.get_attr<TF_DataType>("T"),
+                    keep_dims = op.get_attr<bool>("keep_dims"),
+                    Tidx = op.get_attr<TF_DataType>("Tidx")
+                }
+            }.SetAttributes(new { keep_dims, reduction_indices = axis }));
 
         public static Tensor pow<Tx, Ty>(Tx x, Ty y, string name = null)
             => tf.Context.ExecuteOp("Pow", name, new ExecuteOpArgs(x, y));

src/TensorFlowNET.Core/Tensorflow.Binding.csproj

@@ -5,7 +5,7 @@
     <AssemblyName>Tensorflow.Binding</AssemblyName>
     <RootNamespace>Tensorflow</RootNamespace>
     <TargetTensorFlow>2.10.0</TargetTensorFlow>
-    <Version>0.100.2</Version>
+    <Version>0.100.3</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>0.100.2.0</AssemblyVersion>
+    <AssemblyVersion>0.100.3.0</AssemblyVersion>
     <PackageReleaseNotes>
 		tf.net 0.100.x and above are based on tensorflow native 2.10.0
 
@@ -38,7 +38,7 @@ https://tensorflownet.readthedocs.io</Description>
 		tf.net 0.7x.x aligns with TensorFlow v2.7.x native library.
 		tf.net 0.10x.x aligns with TensorFlow v2.10.x native library.
 	</PackageReleaseNotes>
-    <FileVersion>0.100.2.0</FileVersion>
+    <FileVersion>0.100.3.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <SignAssembly>true</SignAssembly>

src/TensorFlowNET.Keras/Tensorflow.Keras.csproj

@@ -7,10 +7,10 @@
     <Nullable>enable</Nullable>
     <RootNamespace>Tensorflow.Keras</RootNamespace>
     <Platforms>AnyCPU;x64</Platforms>
-    <Version>0.10.2</Version>
+    <Version>0.10.3</Version>
     <Authors>Haiping Chen</Authors>
     <Product>Keras for .NET</Product>
-    <Copyright>Apache 2.0, Haiping Chen 2021</Copyright>
+    <Copyright>Apache 2.0, Haiping Chen 2023</Copyright>
     <PackageId>TensorFlow.Keras</PackageId>
     <PackageProjectUrl>https://github.com/SciSharp/TensorFlow.NET</PackageProjectUrl>
     <PackageIconUrl>https://avatars3.githubusercontent.com/u/44989469?s=200&amp;v=4</PackageIconUrl>
@@ -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>0.10.2.0</AssemblyVersion>
-    <FileVersion>0.10.2.0</FileVersion>
+    <AssemblyVersion>0.10.3.0</AssemblyVersion>
+    <FileVersion>0.10.3.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <Configurations>Debug;Release;GPU</Configurations>
   </PropertyGroup>