diff --git a/paddle/function/BufferArg.h b/paddle/function/BufferArg.h
index 177d20005b54b8f259f257a01e7aba7dda3e206a..349b21e7e64064804c5d0ee26e82698925832c35 100644
--- a/paddle/function/BufferArg.h
+++ b/paddle/function/BufferArg.h
@@ -189,8 +189,8 @@ public:
   SequenceIdArg(const TensorShape& shape, ArgType argType = UNSPECIFIED)
       : BufferArg(VALUE_TYPE_INT32, shape, argType) {
     bufferType_ = TENSOR_SEQUENCE_ID;
-    CHECK_EQ(shape_.ndims(), (size_t)1);
-    CHECK_GT(shape_[0], 1);
+    CHECK_EQ(shape_.ndims(), 1UL);
+    CHECK_GT(shape_[0], 1UL);
     numSeqs_ = shape_[0] - 1;
   }
 
@@ -199,7 +199,7 @@ public:
                 ArgType argType = UNSPECIFIED)
       : BufferArg(buf, VALUE_TYPE_INT32, shape, argType) {
     bufferType_ = TENSOR_SEQUENCE_ID;
-    CHECK_EQ(shape_.ndims(), (size_t)1);
+    CHECK_EQ(shape_.ndims(), 1UL);
     numSeqs_ = shape_[0] - 1;
   }
 
@@ -280,9 +280,9 @@ public:
         type_(static_cast<SparseDataType>(type)) {
     bufferType_ = TENSOR_SPARSE;
     CHECK((valueType == VALUE_TYPE_FLOAT) || (valueType == VALUE_TYPE_DOUBLE));
-    CHECK_EQ(shape_.ndims(), (size_t)2);
-    CHECK_EQ(row_.shape().ndims(), (size_t)1);
-    CHECK_EQ(col_.shape().ndims(), (size_t)1);
+    CHECK_EQ(shape_.ndims(), 2UL);
+    CHECK_EQ(row_.shape().ndims(), 1UL);
+    CHECK_EQ(col_.shape().ndims(), 1UL);
     if (format_ == T_SPARSE_CSR) {
       CHECK_EQ(nnz, col.shape()[0]);
     } else if (format_ == T_SPARSE_CSC) {
@@ -304,7 +304,7 @@ public:
         type_(static_cast<SparseDataType>(type)) {
     bufferType_ = TENSOR_SPARSE;
     CHECK((valueType == VALUE_TYPE_FLOAT) || (valueType == VALUE_TYPE_DOUBLE));
-    CHECK_EQ(shape_.ndims(), (size_t)2);
+    CHECK_EQ(shape_.ndims(), 2UL);
 
     /// len of row_ : height + 1 (CSR) or nnz (CSC), buf_ == nullptr
     row_ = (format_ == T_SPARSE_CSR
@@ -325,7 +325,7 @@ public:
     CHECK(buf_);
     CHECK(valueType_ == DataType<real>::value);
     // CHECK(deviceType_ == DType);
-    CHECK_EQ(2, shape_.ndims());
+    CHECK_EQ(2UL, shape_.ndims());
     return typename Tensor<real, DType>::SparseMatrix(
         reinterpret_cast<real*>(buf_),
         reinterpret_cast<int*>(row_.data()),