rename project.

TensorFlow.NET.sln

@@ -5,9 +5,9 @@ VisualStudioVersion = 16.0.29102.190
 MinimumVisualStudioVersion = 10.0.40219.1
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Tensorflow.Binding", "src\TensorFlowNET.Core\Tensorflow.Binding.csproj", "{FD682AC0-7B2D-45D3-8B0D-C6D678B04144}"
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Benchmark", "src\TensorFlowNet.Benchmarks\Benchmark.csproj", "{3A6EB896-604F-4E25-B677-B8103BCF3D2E}"
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Tensorflow.Benchmark", "src\TensorFlowNet.Benchmarks\Tensorflow.Benchmark.csproj", "{3A6EB896-604F-4E25-B677-B8103BCF3D2E}"
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "UnitTest", "test\TensorFlowNET.UnitTest\UnitTest.csproj", "{23C28035-2FCE-41F3-9A12-E73CE8A5AE32}"
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Tensorflow.UnitTest", "test\TensorFlowNET.UnitTest\Tensorflow.UnitTest.csproj", "{23C28035-2FCE-41F3-9A12-E73CE8A5AE32}"
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Tensorflow.Keras", "src\TensorFlowNET.Keras\Tensorflow.Keras.csproj", "{6268B461-486A-460B-9B3C-86493CBBAAF7}"
 EndProject

test/TensorFlowNET.UnitTest/SessionTest.cs

@@ -137,12 +137,12 @@ namespace TensorFlowNET.UnitTest
         public void Autocast_Case1()
         {
             var sess = tf.Session().as_default();
-            var input = tf.placeholder(tf.float64, shape: new TensorShape(6));
+            var input = tf.placeholder(tf.float32, shape: new TensorShape(6));
             var op = tf.reshape(input, new int[] {2, 3});
             sess.run(tf.global_variables_initializer());
             var ret = sess.run(op, feed_dict: (input, np.array(1, 2, 3, 4, 5, 6)));
 
-            ret.Should().BeOfType<double>().And.BeShaped(2, 3).And.BeOfValues(1, 2, 3, 4, 5, 6);
+            ret.Should().BeOfType<float>().And.BeShaped(2, 3).And.BeOfValues(1, 2, 3, 4, 5, 6);
             print(ret.dtype);
             print(ret);
         }
@@ -165,12 +165,12 @@ namespace TensorFlowNET.UnitTest
         public void Autocast_Case3()
         {
             var sess = tf.Session().as_default();
-            var input = tf.placeholder(tf.int16, shape: new TensorShape(6));
+            var input = tf.placeholder(tf.int64, shape: new TensorShape(6));
             var op = tf.reshape(input, new int[] {2, 3});
             sess.run(tf.global_variables_initializer());
             var ret = sess.run(op, feed_dict: (input, np.array(1, 2, 3, 4, 5, 6).astype(NPTypeCode.Single) + 0.1f));
 
-            ret.Should().BeOfType<short>().And.BeShaped(2, 3).And.BeOfValues(1, 2, 3, 4, 5, 6);
+            ret.Should().BeOfType<long>().And.BeShaped(2, 3).And.BeOfValues(1, 2, 3, 4, 5, 6);
             print(ret.dtype);
             print(ret);
         }