fix bug in normal distribution: _log_prob

Author: PppBr

TensorFlow.NET.sln

@@ -1,7 +1,7 @@
 
 Microsoft Visual Studio Solution File, Format Version 12.00
-# Visual Studio Version 16
-VisualStudioVersion = 16.0.28803.452
+# Visual Studio 15
+VisualStudioVersion = 15.0.28307.168
 MinimumVisualStudioVersion = 10.0.40219.1
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlowNET.UnitTest", "test\TensorFlowNET.UnitTest\TensorFlowNET.UnitTest.csproj", "{029A8CF1-CF95-4DCB-98AA-9D3D96A83B3E}"
 EndProject
@@ -17,6 +17,8 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Keras.UnitTest", "test\Kera
 EndProject
 Project("{6EC3EE1D-3C4E-46DD-8F32-0CC8E7565705}") = "TensorFlowNET.Examples.FSharp", "test\TensorFlowNET.Examples.FSharp\TensorFlowNET.Examples.FSharp.fsproj", "{62BC3801-F0D3-44A9-A0AC-712F40C8F961}"
 EndProject
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "NumSharp.Core", "..\NumSharp\src\NumSharp.Core\NumSharp.Core.csproj", "{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}"
+EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
@@ -51,6 +53,10 @@ Global
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.Build.0 = Release|Any CPU
+		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Release|Any CPU.Build.0 = Release|Any CPU
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE

src/TensorFlowNET.Core/Operations/Distributions/normal.py.cs

@@ -82,7 +82,7 @@ public Tensor _batch_shape()
 
         protected override Tensor _log_prob(Tensor x)
         {
-            var log_prob = _log_unnormalized_prob(_z(x));
+            var log_prob = _log_unnormalized_prob(x);
             var log_norm = _log_normalization();
             return tf.sub(log_prob, log_norm);
         }

src/TensorFlowNET.Core/TensorFlowNET.Core.csproj

@@ -62,4 +62,14 @@ Docs: https://tensorflownet.readthedocs.io</Description>
     <Folder Include="Keras\Initializers\" />
   </ItemGroup>
 
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\NumSharp\src\NumSharp.Core\NumSharp.Core.csproj" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <Reference Include="NumSharp.Core">
+      <HintPath>..\..\..\..\NumSharp\src\NumSharp.Core\bin\Debug\netstandard2.0\NumSharp.Core.dll</HintPath>
+    </Reference>
+  </ItemGroup>
+
 </Project>

test/TensorFlowNET.Examples/BasicModels/NaiveBayesClassifier.cs

@@ -34,7 +34,10 @@ public bool Run()
             var (xx, yy) = np.meshgrid(np.linspace(x_min, x_max, 30), np.linspace(y_min, y_max, 30));
             with(tf.Session(), sess =>
             {
-                var samples = np.hstack<float>(xx.ravel().reshape(xx.size, 1), yy.ravel().reshape(yy.size, 1));
+                var samples = np.vstack<float>(xx.ravel(), yy.ravel());
+                samples = np.transpose(samples);
+                var array = np.Load<double[,]>("H:\\PythonApplication1\\PythonApplication1\\data.npy");
+                samples = np.array(array).astype(np.float32);
                 var Z = sess.run(predict(samples));
             });
 

test/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj

@@ -23,4 +23,10 @@
     <ProjectReference Include="..\..\src\TensorFlowNET.Core\TensorFlowNET.Core.csproj" />
   </ItemGroup>
 
+  <ItemGroup>
+    <Reference Include="NumSharp.Core">
+      <HintPath>..\..\..\..\NumSharp\src\NumSharp.Core\bin\Debug\netstandard2.0\NumSharp.Core.dll</HintPath>
+    </Reference>
+  </ItemGroup>
+
 </Project>