diff --git a/api/src/main/java/ai/djl/ndarray/index/full/NDIndexFullPick.java b/api/src/main/java/ai/djl/ndarray/index/full/NDIndexFullPick.java
index 7171ecec709..f373bb7197c 100644
--- a/api/src/main/java/ai/djl/ndarray/index/full/NDIndexFullPick.java
+++ b/api/src/main/java/ai/djl/ndarray/index/full/NDIndexFullPick.java
@@ -60,18 +60,6 @@ public static Optional<NDIndexFullPick> fromIndex(NDIndex index, Shape target) {
                 }
                 NDArray indexElem = ((NDIndexPick) el).getIndex();
                 fullPick = new NDIndexFullPick(indexElem, axis);
-            } else if (el instanceof NDIndexTake) {
-                if (fullPick != null) {
-                    // Don't support multiple picks
-                    throw new UnsupportedOperationException(
-                            "Only one pick per get is currently supported");
-                }
-                NDArray indexElem = ((NDIndexTake) el).getIndex();
-                if (!indexElem.getShape().isRankOne()) {
-                    throw new UnsupportedOperationException(
-                            "Only rank-1 indexing array is supported for pick");
-                }
-                fullPick = new NDIndexFullPick(indexElem, axis);
             } else {
                 // Invalid dim for fullPick
                 return Optional.empty();
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 5c59092f8f6..01182303b72 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
@@ -50,6 +50,13 @@ public void testPick() {
                     original.get(
                             new NDIndex().addAllDim().addPickDim(manager.create(new int[] {0, 1})));
             Assert.assertEquals(actual, expected);
+
+            // The difference between take and pick used combined with addAllDim()
+            NDArray yHat = manager.create(new float[][]{{0.1f, 0.3f, 0.6f}, {0.3f, 0.2f, 0.5f}});
+            NDArray yGet = yHat.get(new NDIndex(":, {}", manager.create(new int[]{0, 2})));
+            NDArray yPick = yHat.get(new NDIndex().addAllDim().addPickDim(manager.create(new int[]{0, 2})));
+            Assert.assertEquals(yGet, manager.create(new float[][]{{0.1f, 0.6f}, {0.3f, 0.5f}}));
+            Assert.assertEquals(yPick, manager.create(new float[][]{{0.1f}, {0.5f}}));
         }
     }