fix tensor creation from n-dim array.

src/TensorFlowNET.Core/Tensors/constant_op.cs

@@ -142,18 +142,32 @@ namespace Tensorflow
                     return new EagerTensor(val, ctx.device_name);
                 case int[,] val:
                     return new EagerTensor(val, ctx.device_name);
+                case int[,,] val:
+                    return new EagerTensor(val, ctx.device_name);
                 case long val:
                     return new EagerTensor(val, ctx.device_name);
+                case long[] val:
+                    return new EagerTensor(val, ctx.device_name);
+                case long[,] val:
+                    return new EagerTensor(val, ctx.device_name);
+                case long[,,] val:
+                    return new EagerTensor(val, ctx.device_name);
                 case float val:
                     return new EagerTensor(val, ctx.device_name);
+                case float[] val:
+                    return new EagerTensor(val, ctx.device_name);
                 case float[,] val:
                     return new EagerTensor(val, ctx.device_name);
-                case double val:
+                case float[,,] val:
                     return new EagerTensor(val, ctx.device_name);
-                case float[] val:
+                case double val:
                     return new EagerTensor(val, ctx.device_name);
                 case double[] val:
                     return new EagerTensor(val, ctx.device_name);
+                case double[,] val:
+                    return new EagerTensor(val, ctx.device_name);
+                case double[,,] val:
+                    return new EagerTensor(val, ctx.device_name);
                 default:
                     throw new NotImplementedException($"convert_to_eager_tensor {value.GetType()}");
             }

test/TensorFlowNET.UnitTest/TF_API/TensorOperate.cs

@@ -26,10 +26,18 @@ namespace Tensorflow.UnitTest.TF_API
         [TestMethod]
         public void InitTensorTest()
         {
-            var a = tf.constant(new NDArray(new[, ,] { { { 1 }, { 2 }, { 3 } }, { { 4 }, { 5 }, { 6 } } }));
-            var b = tf.constant(new[, ,] { { { 1 }, { 2 }, { 3 } }, { { 4 }, { 5 }, { 6 } } });
-            //Test Result : a is OK , and b is error .
+            var a = tf.constant(np.array(new[, ,] 
+            { 
+                { { 1 }, { 2 }, { 3 } }, 
+                { { 4 }, { 5 }, { 6 } } 
+            }));
             Assert.IsTrue(Enumerable.SequenceEqual(new[] { 2, 3, 1 }, a.shape));
+
+            var b = tf.constant(new[, ,] 
+            { 
+                { { 1 }, { 2 }, { 3 } }, 
+                { { 4 }, { 5 }, { 6 } } 
+            });
             Assert.IsTrue(Enumerable.SequenceEqual(new[] { 2, 3, 1 }, b.shape));
         }
 
@@ -46,7 +54,7 @@ namespace Tensorflow.UnitTest.TF_API
 
         [TestMethod]
         public void ConcatDoubleTest()
-        {//double type has some error
+        {
             var a = tf.constant(new[,] { { 1.0, 2.0 }, { 3.0, 4.0 } });
             var b = tf.constant(new[,] { { 5.0, 6.0 }, { 7.0, 8.0 } });
             var c = tf.constant(new[,] { { 9.0, 10.0 }, { 11.0, 12.0 } });