diff --git a/src/ndarray/ndarray.cc b/src/ndarray/ndarray.cc
index 648f9584618c..df9bb47eda76 100644
--- a/src/ndarray/ndarray.cc
+++ b/src/ndarray/ndarray.cc
@@ -2027,11 +2027,6 @@ MXNET_REGISTER_NDARRAY_FUN(_set_value)
 MXNET_REGISTER_NDARRAY_FUN(_onehot_encode)
 .set_function(BinaryOp<ndarray::OneHotEncode>);
 
-MXNET_REGISTER_NDARRAY_FUN(choose_element_0index)
-.set_function(BinaryOp<ndarray::MatChooseRowElem>)
-.describe("Choose one element from each line(row for python, column for R/Julia)"
-          " in lhs according to index indicated by rhs."
-          " This function assume rhs uses 0-based index.");
 
 MXNET_REGISTER_NDARRAY_FUN(fill_element_0index)
 .set_function(TernaryOp<ndarray::MatFillRowElem>)
diff --git a/src/operator/tensor/broadcast_reduce_op_index.cc b/src/operator/tensor/broadcast_reduce_op_index.cc
index c18a8bcf9126..b3c92dcd2d9a 100644
--- a/src/operator/tensor/broadcast_reduce_op_index.cc
+++ b/src/operator/tensor/broadcast_reduce_op_index.cc
@@ -109,6 +109,7 @@ Examples::
 .add_argument("data", "NDArray-or-Symbol", "The input array");
 
 NNVM_REGISTER_OP(pick)
+.add_alias("choose_element_0index")
 .describe(R"code(Picks elements from an input array according to the input indices along the given axis.
 
 Given an input array of shape ``(d0, d1)`` and indices of shape ``(i0,)``, the result will be