From ed33b7329ba891f4f350ed9b906c3260daa39b72 Mon Sep 17 00:00:00 2001
From: RayWang <75263275+RayWang-iat@users.noreply.github.com>
Date: Fri, 2 Jun 2023 23:16:38 +0800
Subject: [PATCH 1/3] Update Numpy.Math.cs

---
 src/TensorFlowNET.Core/NumPy/Numpy.Math.cs | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/src/TensorFlowNET.Core/NumPy/Numpy.Math.cs b/src/TensorFlowNET.Core/NumPy/Numpy.Math.cs
index 0e50cd564..ea85048f8 100644
--- a/src/TensorFlowNET.Core/NumPy/Numpy.Math.cs
+++ b/src/TensorFlowNET.Core/NumPy/Numpy.Math.cs
@@ -28,7 +28,16 @@ public partial class np
         public static NDArray multiply(NDArray x1, NDArray x2) => new NDArray(tf.multiply(x1, x2));
 
         [AutoNumPy]
-        public static NDArray maximum(NDArray x1, NDArray x2) => new NDArray(tf.maximum(x1, x2));
+        //public static NDArray maximum(NDArray x1, NDArray x2) => new NDArray(tf.maximum(x1, x2));
+        public static NDArray maximum(NDArray x1, NDArray x2, int? axis = null)
+        {
+            var maxValues = tf.maximum(x1, x2);
+            if (axis.HasValue)
+            {
+                maxValues = tf.reduce_max(maxValues, axis: axis.Value);
+            }
+            return new NDArray(maxValues);
+        }
 
         [AutoNumPy]
         public static NDArray minimum(NDArray x1, NDArray x2) => new NDArray(tf.minimum(x1, x2));

From b44a153dfb16a700c26852c0737cf903d29eb793 Mon Sep 17 00:00:00 2001
From: RayWang <75263275+RayWang-iat@users.noreply.github.com>
Date: Fri, 2 Jun 2023 23:23:33 +0800
Subject: [PATCH 2/3] Update Math.Test.cs

---
 test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs b/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs
index a0e6fa4ec..6e00504b8 100644
--- a/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs
+++ b/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs
@@ -65,5 +65,17 @@ public void power()
             var y = np.power(x, 3);
             Assert.AreEqual(y, new[] { 0, 1, 8, 27, 64, 125 });
         }
+         [TestMethod]
+        public void maximum()
+        {
+            var x1 = new NDArray(new[,] { { 1, 2, 3 }, { 4, 5.1, 6 } });
+            var x2 = new NDArray(new[,] { { 3, 2, 1 }, { 6, 5.1, 4 } });
+            var y = np.maximum(x1,x2);
+            var y1 = np.maximum(x1, x2, axis: 0);
+            var y2 = new NDArray(new[,] { { 3, 2, 3 }, { 6, 5.1, 6 } });
+            var y3 = new NDArray(new[] {  6, 5.1, 6 });
+            Assert.AreEqual(y, y2);
+            Assert.AreEqual(y1, y3);
+        }
     }
 }

From 86f77dc144e493ac6e78014ffb28ec305e3f1912 Mon Sep 17 00:00:00 2001
From: RayWang <75263275+RayWang-iat@users.noreply.github.com>
Date: Mon, 5 Jun 2023 11:26:06 +0800
Subject: [PATCH 3/3] Update Math.Test.cs

---
 test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs b/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs
index 6e00504b8..32b517e4f 100644
--- a/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs
+++ b/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs
@@ -66,16 +66,19 @@ public void power()
             Assert.AreEqual(y, new[] { 0, 1, 8, 27, 64, 125 });
         }
          [TestMethod]
-        public void maximum()
+       public void maximum()
         {
             var x1 = new NDArray(new[,] { { 1, 2, 3 }, { 4, 5.1, 6 } });
             var x2 = new NDArray(new[,] { { 3, 2, 1 }, { 6, 5.1, 4 } });
-            var y = np.maximum(x1,x2);
+            var y0 = np.maximum(x1,x2);
             var y1 = np.maximum(x1, x2, axis: 0);
-            var y2 = new NDArray(new[,] { { 3, 2, 3 }, { 6, 5.1, 6 } });
-            var y3 = new NDArray(new[] {  6, 5.1, 6 });
-            Assert.AreEqual(y, y2);
-            Assert.AreEqual(y1, y3);
+            var y2 = np.maximum(x1, x2, axis: 1);
+            var y3 = new NDArray(new[,] { { 3, 2, 3 }, { 6, 5.1, 6 } });
+            var y4 = new NDArray(new[] {  6, 5.1, 6 });
+            var y5 = new NDArray(new[] { 3.0, 6 });
+            Assert.AreEqual(y0, y3);
+            Assert.AreEqual(y1, y4);
+            Assert.AreEqual(y2, y5);
         }
     }
 }