Small touchups, upgrade to 4.6.1

migueldeicaza · migueldeicaza · commit f9a6d4e79711 · 2017-02-11T21:53:40.000-05:00
diff --git a/Learn/Learn.csproj b/Learn/Learn.csproj
@@ -7,7 +7,7 @@
     <OutputType>Library</OutputType>
     <RootNamespace>Learn</RootNamespace>
     <AssemblyName>Learn</AssemblyName>
-    <TargetFrameworkVersion>v4.5</TargetFrameworkVersion>
+    <TargetFrameworkVersion>v4.6.1</TargetFrameworkVersion>
   </PropertyGroup>
   <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
     <DebugSymbols>true</DebugSymbols>
diff --git a/SampleTest/SampleTest.csproj b/SampleTest/SampleTest.csproj
@@ -7,7 +7,7 @@
     <OutputType>Exe</OutputType>
     <RootNamespace>SampleTest</RootNamespace>
     <AssemblyName>SampleTest</AssemblyName>
-    <TargetFrameworkVersion>v4.5</TargetFrameworkVersion>
+    <TargetFrameworkVersion>v4.6.1</TargetFrameworkVersion>
   </PropertyGroup>
   <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
     <DebugSymbols>true</DebugSymbols>
diff --git a/TensorFlowSharp/Tensorflow.cs b/TensorFlowSharp/Tensorflow.cs
@@ -1947,6 +1947,13 @@ internal override void NativeDispose (IntPtr handle)
 		}
 	}
 
+	/// <summary>
+	/// The data type for a specific tensor.
+	/// </summary>
+	/// <remarks>
+	/// Tensors have uniform data types, all the elements of the tensor are of this
+	/// type and they dictate how TensorFlow will treat the data stored.   
+	/// </remarks>
 	public enum TFDataType : uint
 	{
 		Float = 1,
@@ -2129,14 +2136,15 @@ public enum TFAttributeType : uint
 	[StructLayout (LayoutKind.Sequential)]
 	public struct TFAttributeMetadata
 	{
-		public byte IsList;
+		byte isList;
+		public bool IsList => isList != 0;
 		public long ListSize;
 		public TFAttributeType Type;
 		public long TotalSize;
 
 		public override string ToString ()
 		{
-			return string.Format ($"[TFAttributeMetadata IsList={IsList != 0?true:false} ListSize={ListSize} Type={Type} TotalSize={TotalSize}]");
+			return string.Format ($"[TFAttributeMetadata IsList={IsList} ListSize={ListSize} Type={Type} TotalSize={TotalSize}]");
 		}
 	}
 

Original file line number	Diff line number	Diff line change
`@@ -1947,6 +1947,13 @@ internal override void NativeDispose (IntPtr handle)`
`1947`	`1947`	`}`
`1948`	`1948`	`}`
`1949`	`1949`
	`1950`	`+ /// <summary>`
	`1951`	`+ /// The data type for a specific tensor.`
	`1952`	`+ /// </summary>`
	`1953`	`+ /// <remarks>`
	`1954`	`+ /// Tensors have uniform data types, all the elements of the tensor are of this`
	`1955`	`+ /// type and they dictate how TensorFlow will treat the data stored.`
	`1956`	`+ /// </remarks>`
`1950`	`1957`	`public enum TFDataType : uint`
`1951`	`1958`	`{`
`1952`	`1959`	`Float = 1,`
`@@ -2129,14 +2136,15 @@ public enum TFAttributeType : uint`
`2129`	`2136`	`[StructLayout (LayoutKind.Sequential)]`
`2130`	`2137`	`public struct TFAttributeMetadata`
`2131`	`2138`	`{`
`2132`		`- public byte IsList;`
	`2139`	`+ byte isList;`
	`2140`	`+ public bool IsList => isList != 0;`
`2133`	`2141`	`public long ListSize;`
`2134`	`2142`	`public TFAttributeType Type;`
`2135`	`2143`	`public long TotalSize;`
`2136`	`2144`
`2137`	`2145`	`public override string ToString ()`
`2138`	`2146`	`{`
`2139`		`- return string.Format ($"[TFAttributeMetadata IsList={IsList != 0?true:false} ListSize={ListSize} Type={Type} TotalSize={TotalSize}]");`
	`2147`	`+ return string.Format ($"[TFAttributeMetadata IsList={IsList} ListSize={ListSize} Type={Type} TotalSize={TotalSize}]");`
`2140`	`2148`	`}`
`2141`	`2149`	`}`
`2142`	`2150`