diff --git a/api/src/main/java/ai/djl/ndarray/NDArray.java b/api/src/main/java/ai/djl/ndarray/NDArray.java
index edcc507969c8..314413cea6b0 100644
--- a/api/src/main/java/ai/djl/ndarray/NDArray.java
+++ b/api/src/main/java/ai/djl/ndarray/NDArray.java
@@ -581,8 +581,8 @@ default NDArray get(NDManager manager, long... indices) {
     NDArray gather(NDArray index, int axis);
 
     /**
-     * Returns a partial {@code NDArray} pointed by index according to linear indexing, and
-     * the of output is of the same shape as index.
+     * Returns a partial {@code NDArray} pointed by index according to linear indexing, and the of
+     * output is of the same shape as index.
      *
      * @param index picks the elements of an NDArray and output to the same entry as in index
      * @return the partial {@code NDArray} of the same shape as index
@@ -590,11 +590,11 @@ default NDArray get(NDManager manager, long... indices) {
     NDArray take(NDArray index);
 
     /**
-     * Set the entries of {@code NDArray} pointed by index according to linear indexing, to
-     * be the numbers in data, which is of the same shape as index.
+     * Set the entries of {@code NDArray} pointed by index according to linear indexing, to be the
+     * numbers in data, which is of the same shape as index.
      *
      * @param index select the entries of an {@code NDArray}
-     * @param data  numbers to assign to the indexed entries
+     * @param data numbers to assign to the indexed entries
      * @return The NDArray with updated values
      */
     default NDArray put(NDArray index, NDArray data) {
diff --git a/engines/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/jni/JniUtils.java b/engines/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/jni/JniUtils.java
index 140395b4af97..a4f2a610021d 100644
--- a/engines/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/jni/JniUtils.java
+++ b/engines/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/jni/JniUtils.java
@@ -451,7 +451,8 @@ public static PtNDArray put(PtNDArray ndArray, PtNDArray index, PtNDArray data)
         }
         return new PtNDArray(
                 ndArray.getManager(),
-                PyTorchLibrary.LIB.torchPut(ndArray.getHandle(), index.getHandle(), data.getHandle()));
+                PyTorchLibrary.LIB.torchPut(
+                        ndArray.getHandle(), index.getHandle(), data.getHandle()));
     }
 
     public static PtNDArray pick(PtNDArray ndArray, PtNDArray index, long dim) {
diff --git a/integration/src/main/java/ai/djl/integration/tests/ndarray/NDIndexTest.java b/integration/src/main/java/ai/djl/integration/tests/ndarray/NDIndexTest.java
index 8767b1f097f8..49c165fd1115 100644
--- a/integration/src/main/java/ai/djl/integration/tests/ndarray/NDIndexTest.java
+++ b/integration/src/main/java/ai/djl/integration/tests/ndarray/NDIndexTest.java
@@ -172,13 +172,22 @@ public void testSetArrayBroadcast() {
     }
 
     @Test
-    public void testPut() {
+    public void testSetNumber() {
         try (NDManager manager = NDManager.newBaseManager()) {
             NDArray original = manager.create(new float[] {1, 2, 3, 4}, new Shape(2, 2));
-            NDArray expected = manager.create(new float[] {1, 8, 666, 77}, new Shape(2, 2));
-            NDArray idx = manager.create(new long[] {2, 3, 1}, new Shape(3));
-            NDArray data = manager.create(new float[] {666, 77, 8}, new Shape(3));
-            Assert.assertEquals(original.put(idx, data), expected);
+            NDArray expected = manager.create(new float[] {9, 9, 3, 4}, new Shape(2, 2));
+            original.set(new NDIndex(0), 9);
+            Assert.assertEquals(original, expected);
+
+            original = manager.arange(4f).reshape(2, 2);
+            expected = manager.ones(new Shape(2, 2));
+            original.set(new NDIndex("..."), 1);
+            Assert.assertEquals(original, expected);
+
+            original = manager.arange(4f).reshape(2, 2);
+            expected = manager.create(new float[] {1, 1, 1, 3}).reshape(2, 2);
+            original.set(new NDIndex("..., 0"), 1);
+            Assert.assertEquals(original, expected);
         }
     }
 
@@ -220,22 +229,14 @@ public void testSetByFunctionIncrements() {
         }
     }
 
-    public void testSetNumber() {
+    @Test
+    public void testPut() {
         try (NDManager manager = NDManager.newBaseManager()) {
             NDArray original = manager.create(new float[] {1, 2, 3, 4}, new Shape(2, 2));
-            NDArray expected = manager.create(new float[] {9, 9, 3, 4}, new Shape(2, 2));
-            original.set(new NDIndex(0), 9);
-            Assert.assertEquals(original, expected);
-
-            original = manager.arange(4f).reshape(2, 2);
-            expected = manager.ones(new Shape(2, 2));
-            original.set(new NDIndex("..."), 1);
-            Assert.assertEquals(original, expected);
-
-            original = manager.arange(4f).reshape(2, 2);
-            expected = manager.create(new float[] {1, 1, 1, 3}).reshape(2, 2);
-            original.set(new NDIndex("..., 0"), 1);
-            Assert.assertEquals(original, expected);
+            NDArray expected = manager.create(new float[] {1, 8, 666, 77}, new Shape(2, 2));
+            NDArray idx = manager.create(new long[] {2, 3, 1}, new Shape(3));
+            NDArray data = manager.create(new float[] {666, 77, 8}, new Shape(3));
+            Assert.assertEquals(original.put(idx, data), expected);
         }
     }
 }