diff --git a/src/TensorFlowNET.Core/Tensors/Tensor.Operators.cs b/src/TensorFlowNET.Core/Tensors/Tensor.Operators.cs
index 140b11738..a1606da32 100644
--- a/src/TensorFlowNET.Core/Tensors/Tensor.Operators.cs
+++ b/src/TensorFlowNET.Core/Tensors/Tensor.Operators.cs
@@ -33,10 +33,13 @@ public partial class Tensor
 
         public static Tensor operator -(Tensor t1) => gen_math_ops.neg(t1);
 
+        public static Tensor operator -(double x, Tensor y) => BinaryOpWrapper("sub", x, y);
+        public static Tensor operator -(float x, Tensor y) => BinaryOpWrapper("sub", x, y);
+        public static Tensor operator -(int x, Tensor y) => BinaryOpWrapper("sub", x, y);
         public static Tensor operator -(Tensor x, Tensor y) => BinaryOpWrapper("sub", x, y);
         public static Tensor operator -(Tensor x, int y) => BinaryOpWrapper("sub", x, y);
+        public static Tensor operator -(Tensor x, float y) => BinaryOpWrapper("sub", x, y);
         public static Tensor operator -(Tensor x, double y) => BinaryOpWrapper("sub", x, y);
-        public static Tensor operator -(float x, Tensor y) => BinaryOpWrapper("sub", x, y);
 
         public static Tensor operator *(float x, Tensor y) => BinaryOpWrapper("mul", x, y);
         public static Tensor operator *(double x, Tensor y) => BinaryOpWrapper("mul", x, y);
diff --git a/test/TensorFlowNET.UnitTest/OperationsTest.cs b/test/TensorFlowNET.UnitTest/OperationsTest.cs
index ad8b78854..91dda6fc5 100644
--- a/test/TensorFlowNET.UnitTest/OperationsTest.cs
+++ b/test/TensorFlowNET.UnitTest/OperationsTest.cs
@@ -215,5 +215,189 @@ public void addOpTests()
             }
             #endregion
         }
+
+        [TestMethod]
+        public void subOpTests()
+        {
+            const int rows = 2; // to avoid broadcasting effect
+            const int cols = 10;
+
+            #region intTest
+            const int firstIntVal = -2;
+            const int secondIntVal = 3;
+
+            var firstIntFeed = Enumerable.Repeat(firstIntVal, rows * cols).ToArray();
+            var secondIntFeed = Enumerable.Repeat(secondIntVal, rows * cols).ToArray();
+            var intResult = firstIntFeed.Sum() - secondIntFeed.Sum();
+            var intResultTwo = -firstIntFeed.Sum();
+
+            var a = tf.placeholder(tf.int32, shape: new TensorShape(rows, cols));
+            var b = tf.placeholder(tf.int32, shape: new TensorShape(rows, cols));
+            var c = tf.reduce_sum(tf.reduce_sum(tf.sub(a, b), 1));
+
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstIntFeed, new Shape(rows, cols))),
+                    new FeedItem(b, new NDArray(secondIntFeed, new Shape(rows, cols))));
+                Assert.AreEqual((int)o, intResult);
+            }
+
+            // Testing `operator -(Tensor x, Tensor y)
+            c = tf.reduce_sum(tf.reduce_sum(a - b, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstIntFeed, new Shape(rows, cols))),
+                    new FeedItem(b, new NDArray(secondIntFeed, new Shape(rows, cols))));
+                Assert.AreEqual((int)o, intResult);
+            }
+
+            // Testing `operator -(Tensor x, int y)
+            c = tf.reduce_sum(tf.reduce_sum(a - secondIntVal, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstIntFeed, new Shape(rows, cols))));
+                Assert.AreEqual((int)o, intResult);
+            }
+
+            // Testing `operator -(int x, Tensor y)
+            c = tf.reduce_sum(tf.reduce_sum(secondIntVal - a, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstIntFeed, new Shape(rows, cols))));
+                Assert.AreEqual((int)o, Math.Abs(intResult));
+            }
+
+            // Testing `operator -(Tensor x)
+            c = tf.reduce_sum(tf.reduce_sum(-a, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstIntFeed, new Shape(rows, cols))));
+                Assert.AreEqual((int)o, intResultTwo);
+            }
+            #endregion
+
+            #region floatTest
+            const float firstFloatVal = -2.0f;
+            const float secondFloatVal = 3.0f;
+
+            var firstFloatFeed = Enumerable.Repeat(firstFloatVal, rows * cols).ToArray();
+            var secondFloatFeed = Enumerable.Repeat(secondFloatVal, rows * cols).ToArray();
+            var floatResult = firstFloatFeed.Sum() - secondFloatFeed.Sum();
+            var floatResultTwo = -firstFloatFeed.Sum();
+
+            a = tf.placeholder(tf.float32, shape: new TensorShape(rows, cols));
+            b = tf.placeholder(tf.float32, shape: new TensorShape(rows, cols));
+            c = tf.reduce_sum(tf.reduce_sum(tf.sub(a, b), 1));
+
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstFloatFeed, new Shape(rows, cols))),
+                    new FeedItem(b, new NDArray(secondFloatFeed, new Shape(rows, cols))));
+                Assert.AreEqual((float)o, floatResult);
+            }
+
+            // Testing `operator -(Tensor x, Tensor y)
+            c = tf.reduce_sum(tf.reduce_sum(a - b, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstFloatFeed, new Shape(rows, cols))),
+                    new FeedItem(b, new NDArray(secondFloatFeed, new Shape(rows, cols))));
+                Assert.AreEqual((float)o, floatResult);
+            }
+
+            // Testing `operator -(Tensor x, float y)
+            c = tf.reduce_sum(tf.reduce_sum(a - secondFloatVal, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstFloatFeed, new Shape(rows, cols))));
+                Assert.AreEqual((float)o, floatResult);
+            }
+
+            // Testing `operator -(float x, Tensor y)
+            c = tf.reduce_sum(tf.reduce_sum(secondFloatVal - a, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstFloatFeed, new Shape(rows, cols))));
+                Assert.AreEqual((float)o, Math.Abs(floatResult));
+            }
+
+            // Testing `operator -(Tensor x)
+            c = tf.reduce_sum(tf.reduce_sum(-a, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstFloatFeed, new Shape(rows, cols))));
+                Assert.AreEqual((float)o, floatResultTwo);
+            }
+            #endregion
+
+            #region doubleTest
+            const double firstDoubleVal = -2.0;
+            const double secondDoubleVal = 3.0;
+
+            var firstDoubleFeed = Enumerable.Repeat(firstDoubleVal, rows * cols).ToArray();
+            var secondDoubleFeed = Enumerable.Repeat(secondDoubleVal, rows * cols).ToArray();
+            var doubleResult = firstDoubleFeed.Sum() - secondDoubleFeed.Sum();
+            var doubleResultTwo = -firstDoubleFeed.Sum();
+
+            a = tf.placeholder(tf.float64, shape: new TensorShape(rows, cols));
+            b = tf.placeholder(tf.float64, shape: new TensorShape(rows, cols));
+            c = tf.reduce_sum(tf.reduce_sum(tf.sub(a, b), 1));
+
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstDoubleFeed, new Shape(rows, cols))),
+                    new FeedItem(b, new NDArray(secondDoubleFeed, new Shape(rows, cols))));
+                Assert.AreEqual((double)o, doubleResult);
+            }
+
+            // Testing `operator -(Tensor x, Tensor y)
+            c = tf.reduce_sum(tf.reduce_sum(a - b, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstDoubleFeed, new Shape(rows, cols))),
+                    new FeedItem(b, new NDArray(secondDoubleFeed, new Shape(rows, cols))));
+                Assert.AreEqual((double)o, doubleResult);
+            }
+
+            // Testing `operator -(Tensor x, double y)
+            c = tf.reduce_sum(tf.reduce_sum(a - secondFloatVal, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstDoubleFeed, new Shape(rows, cols))));
+                Assert.AreEqual((double)o, doubleResult);
+            }
+
+            // Testing `operator -(double x, Tensor y)
+            c = tf.reduce_sum(tf.reduce_sum(secondFloatVal - a, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstDoubleFeed, new Shape(rows, cols))));
+                Assert.AreEqual((double)o, Math.Abs(doubleResult));
+            }
+
+            // Testing `operator -(Tensor x)
+            c = tf.reduce_sum(tf.reduce_sum(-a, 1));
+            using (var sess = tf.Session())
+            {
+                var o = sess.run(c,
+                    new FeedItem(a, new NDArray(firstDoubleFeed, new Shape(rows, cols))));
+                Assert.AreEqual((double)o, doubleResultTwo);
+            }
+            #endregion
+        }
     }
 }