Fixed few things plus added method to generate tensors from arrays.

Author: interesaaat

Test/AtenSharp/BasicTensorAPI.cs

@@ -24,19 +24,6 @@ public void CreateFloatTensor()
             Assert.AreEqual(20, x2Shape[1]);
         }
 
-        //[TestMethod]
-        //public void CreateIntTensorOne()
-        //{
-        //    var x1 = FloatTensor.Ones(new long[] { 1, 3, 224, 224 });
-
-        //    //Assert.AreEqual(4, x1.Shape.Length);
-
-        //    var module = Module.LoadModule(@"E:\Source\Repos\libtorch\model.pt");
-
-        //    var modules = module.GetModules();
-        //    var result = module.Score(x1);
-        //}
-
         [TestMethod]
         public void GetFloatTensorData()
         {

Test/TorchSharp.cs

@@ -15,19 +15,6 @@ public void CreateFloatTensorOnes()
             Assert.IsNotNull(ones);
         }
 
-        [TestMethod]
-        public void CreateFloatTensorCheckDistructor()
-        {
-            ITorchTensor<float> ones = null;
-
-            using (var tmp = FloatTensor.Ones(new long[] { 2, 2 }))
-            {
-                ones = tmp;
-                Assert.IsNotNull(ones);
-            }
-            Assert.ThrowsException<ObjectDisposedException>(ones.Grad);
-        }
-
         [TestMethod]
         public void CreateFloatTensorCheckMemory()
         {
@@ -76,6 +63,18 @@ public void CreateFloatTensorCheckDevice()
             Assert.AreEqual(ones.Device, "cpu");
         }
 
+        [TestMethod]
+        public void CreateFloatTensorFromData()
+        {
+            var data = new float[1000];
+            data[100] = 1;
+
+            using (var tensor = FloatTensor.From(data, new long[] { 100, 10 }, new long[] { 1, 100 }))
+            {
+                Assert.AreEqual(tensor.Data[100], 1);
+            }
+        }
+
         [TestMethod]
         public void ScoreModel()
         {
@@ -90,7 +89,7 @@ public void ScoreModel()
         }
 
         [TestMethod]
-        public void ScoreModelCheckInput()
+        public void LoadModelCheckInput()
         {
             var module = JIT.Module.Load(@"E:\Source\Repos\libtorch\model.pt");
             Assert.IsNotNull(module);
@@ -105,6 +104,22 @@ public void ScoreModelCheckInput()
             }
         }
 
+        [TestMethod]
+        public void LoadModelCheckOutput()
+        {
+            var module = JIT.Module.Load(@"E:\Source\Repos\libtorch\model.pt");
+            Assert.IsNotNull(module);
+
+            var num = module.GetNumberOfOutputs();
+
+            for (int i = 0; i < num; i++)
+            {
+                var type = module.GetOutputType(i);
+
+                Assert.IsNotNull(type as DynamicType);
+            }
+        }
+
         [TestMethod]
         public void ScoreModelCheckOutput()
         {