Test for TanhGrad

Dorokhov · migueldeicaza · commit 10ed7680022e · 2017-09-03T23:07:42.000-04:00
diff --git a/tests/TensorFlowSharp.Tests.CSharp/MathTests.cs b/tests/TensorFlowSharp.Tests.CSharp/MathTests.cs
@@ -1,11 +1,34 @@
-&#65279;using System.Collections.Generic;
+&#65279;using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
 using TensorFlow;
 using Xunit;
 
 namespace TensorFlowSharp.Tests.CSharp
 {
 	public class MathTests
 	{
+		[Fact]
+		public void Should_CalculateTanhGrad_Correctly ()
+		{
+			using (TFGraph graph = new TFGraph ())
+			using (TFSession session = new TFSession (graph)) 
+			{
+
+				TFOutput x = graph.Const (new TFTensor (0.7));
+				TFOutput y = graph.Tanh (x);
+				TFOutput dy = graph.Const (new TFTensor (new [] { 1.0 }));
+				TFOutput grad = graph.TanhGrad (y, dy);
+
+				TFTensor [] result = session.Run (new TFOutput [] { }, new TFTensor [] { }, new [] { grad });
+
+				double value = (double)result [0].GetValue ();
+				Assert.Equal (0.634739589982459, value, 15);
+			}
+		}
+
 		private static IEnumerable<object []> reduceMeanData ()
 		{
 			// Example from https://www.tensorflow.org/api_docs/python/tf/reduce_mean
@@ -48,6 +71,5 @@ public void Should_ReduceMean (double [,] input, int? axis, object expected)
 				}
 			}
 		}
-
 	}
 }

Original file line number	Diff line number	Diff line change
`@@ -1,11 +1,34 @@`
`1`		`-using System.Collections.Generic;`
	`1`	`+using System;`
	`2`	`+using System.Collections.Generic;`
	`3`	`+using System.Linq;`
	`4`	`+using System.Text;`
	`5`	`+using System.Threading.Tasks;`
`2`	`6`	`using TensorFlow;`
`3`	`7`	`using Xunit;`
`4`	`8`
`5`	`9`	`namespace TensorFlowSharp.Tests.CSharp`
`6`	`10`	`{`
`7`	`11`	`public class MathTests`
`8`	`12`	`{`
	`13`	`+ [Fact]`
	`14`	`+ public void Should_CalculateTanhGrad_Correctly ()`
	`15`	`+ {`
	`16`	`+ using (TFGraph graph = new TFGraph ())`
	`17`	`+ using (TFSession session = new TFSession (graph))`
	`18`	`+ {`
	`19`	`+`
	`20`	`+ TFOutput x = graph.Const (new TFTensor (0.7));`
	`21`	`+ TFOutput y = graph.Tanh (x);`
	`22`	`+ TFOutput dy = graph.Const (new TFTensor (new [] { 1.0 }));`
	`23`	`+ TFOutput grad = graph.TanhGrad (y, dy);`
	`24`	`+`
	`25`	`+ TFTensor [] result = session.Run (new TFOutput [] { }, new TFTensor [] { }, new [] { grad });`
	`26`	`+`
	`27`	`+ double value = (double)result [0].GetValue ();`
	`28`	`+ Assert.Equal (0.634739589982459, value, 15);`
	`29`	`+ }`
	`30`	`+ }`
	`31`	`+`
`9`	`32`	`private static IEnumerable<object []> reduceMeanData ()`
`10`	`33`	`{`
`11`	`34`	`// Example from https://www.tensorflow.org/api_docs/python/tf/reduce_mean`
`@@ -48,6 +71,5 @@ public void Should_ReduceMean (double [,] input, int? axis, object expected)`
`48`	`71`	`}`
`49`	`72`	`}`
`50`	`73`	`}`
`51`		`-`
`52`	`74`	`}`
`53`	`75`	`}`