diff --git a/cplusplus/level1_single_api/4_op_dev/1_custom_op/op_proto/unique_cust.h b/cplusplus/level1_single_api/4_op_dev/1_custom_op/op_proto/unique_cust.h
index 6d18e673941b218f646694470b441c9cdf8e0afa..bf02267b9bfe0d95495d49e20339eb7d49348765 100644
--- a/cplusplus/level1_single_api/4_op_dev/1_custom_op/op_proto/unique_cust.h
+++ b/cplusplus/level1_single_api/4_op_dev/1_custom_op/op_proto/unique_cust.h
@@ -19,11 +19,24 @@
 #include "graph/operator_reg.h"
 
 namespace ge {
+/**
+*@brief Finds unique elements in a 1D tensor. \n
 
+*@par Inputs:
+*x: 1D tensor. Support all types mentioned in TensorType.
+*Input "x" is a k-dimensional tensor. \n
+
+*@par Attributes:
+*out_idx: An optional DType from: "int32, int64". Defaults to "int32". \n
+
+*@par Outputs:
+*@li y: "x" in the unique output "y".
+*@li idx: A tensor the same size as "x". The index of each value of "x". \n
+*/
 REG_OP(UniqueCust)
-    .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
+    .INPUT(x, TensorType({DT_FLOAT, DT_INT8, DT_INT16, \
            DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_DOUBLE}))
-    .OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
+    .OUTPUT(y, TensorType({DT_FLOAT, DT_INT8, DT_INT16, \
            DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_DOUBLE}))
     .OUTPUT(idx, TensorType({DT_INT32, DT_INT64}))
     .ATTR(out_idx, Type, DT_INT32)