diff --git a/src/TensorFlowNET.Core/APIs/tf.math.cs b/src/TensorFlowNET.Core/APIs/tf.math.cs
index 9a405b49..2d91be12 100644
--- a/src/TensorFlowNET.Core/APIs/tf.math.cs
+++ b/src/TensorFlowNET.Core/APIs/tf.math.cs
@@ -211,6 +211,9 @@ namespace Tensorflow
         public Tensor logical_and(Tensor x, Tensor y, string name = null)
             => gen_math_ops.logical_and(x, y, name);
 
+        public Tensor logical_and(bool x, bool y, string name = null)
+            => gen_math_ops.logical_and(x, y, name);
+
         public Tensor logical_not(Tensor x, string name = null)
             => gen_math_ops.logical_not(x, name);
 
diff --git a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
index bb9cc1c9..f059b9bd 100644
--- a/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/gen_math_ops.cs
@@ -578,10 +578,21 @@ namespace Tensorflow
                 x);
 
         public static Tensor logical_and(Tensor x, Tensor y, string name = null)
+            => tf.OpDefLib._apply_op_helper("LogicalAnd", name, args: new { x, y });
+
+        public static Tensor logical_and(bool x, bool y, string name = null)
         {
-            var _op = tf.OpDefLib._apply_op_helper("LogicalAnd", name, args: new { x, y });
+            if (tf.Context.executing_eagerly())
+            {
+                var results = tf.Runner.TFE_FastPathExecute(tf.Context, tf.Context.DeviceName,
+                    "LogicalAnd", name,
+                    null,
+                    x, y);
 
-            return _op.outputs[0];
+                return results[0];
+            }
+
+            return tf.OpDefLib._apply_op_helper("LogicalAnd", name, args: new { x, y });
         }
 
         public static Tensor logical_not(Tensor x, string name = null)