Implement gen_math_ops.mul for Tensors #93

src/TensorFlowNET.Core/Operations/gen_math_ops.cs

@@ -19,5 +19,16 @@ namespace Tensorflow
 
             return new Tensor(_op, 0, _op.OutputType(0));
         }
+
+        public static Tensor mul(Tensor x, Tensor y)
+        {
+            var keywords = new Dictionary<string, object>();
+            keywords.Add("x", x);
+            keywords.Add("y", y);
+
+            var _op = _op_def_lib._apply_op_helper("Mul", name: "mul", keywords: keywords);
+
+            return new Tensor(_op, 0, _op.OutputType(0));
+        }
     }
 }

src/TensorFlowNET.Core/Tensors/Tensor.Operators.cs

@@ -10,5 +10,10 @@ namespace Tensorflow
         {
             return gen_math_ops.add(t1, t2);
         }
+
+        public static Tensor operator *(Tensor t1, Tensor t2)
+        {
+            return gen_math_ops.mul(t1, t2);
+        }
     }
 }

test/TensorFlowNET.Examples/BasicOperations.cs

@@ -18,13 +18,13 @@ namespace TensorFlowNET.Examples
             // of the Constant op.
             var a = tf.constant(2);
             var b = tf.constant(3);
-
+            var c = a * b;
             // Launch the default graph.
             using (var sess = tf.Session())
             {
                 Console.WriteLine("a=2, b=3");
                 Console.WriteLine($"Addition with constants: {sess.run(a + b)}");
-                //Console.WriteLine($"Multiplication with constants: {sess.run(a * b)}");
+                Console.WriteLine($"Multiplication with constants: {sess.run(a * b)}");
             }
         }
     }