diff --git a/core/general-client/src/general_model.cpp b/core/general-client/src/general_model.cpp
index b78df167bdc061e7d706284bf19b8b2d06bad1fa..5d4f732fc19b605cb2e130c61a2e3cc0b2edc13a 100644
--- a/core/general-client/src/general_model.cpp
+++ b/core/general-client/src/general_model.cpp
@@ -395,6 +395,19 @@ int PredictorClient::numpy_predict(
       tensor->set_elem_type(1);
       const int float_shape_size = float_shape[vec_idx].size();
       switch (float_shape_size) {
+        case 4: {
+          auto float_array = float_feed[vec_idx].unchecked<4>();
+          for (ssize_t i = 0; i < float_array.shape(0); i++) {
+            for (ssize_t j = 0; j < float_array.shape(1); j++) {
+              for (ssize_t k = 0; k < float_array.shape(2); k++) {
+                for (ssize_t l = 0; l < float_array.shape(3); l++) {
+                  tensor->add_float_data(float_array(i, j, k, l));
+                }
+              }
+            }
+          }
+          break;
+        }
         case 3: {
           auto float_array = float_feed[vec_idx].unchecked<3>();
           for (ssize_t i = 0; i < float_array.shape(0); i++) {
@@ -415,6 +428,13 @@ int PredictorClient::numpy_predict(
           }
           break;
         }
+        case 1: {
+          auto float_array = float_feed[vec_idx].unchecked<1>();
+          for (ssize_t i = 0; i < float_array.shape(0); i++) {
+            tensor->add_float_data(float_array(i));
+          }
+          break;
+        }
       }
       vec_idx++;
     }
@@ -436,7 +456,7 @@ int PredictorClient::numpy_predict(
       const int int_shape_size = int_shape[vec_idx].size();
       switch (int_shape_size) {
         case 4: {
-          auto int_array = int_feed[vec_idx].unchecked<3>();
+          auto int_array = int_feed[vec_idx].unchecked<4>();
           for (ssize_t i = 0; i < int_array.shape(0); i++) {
             for (ssize_t j = 0; j < int_array.shape(1); j++) {
               for (ssize_t k = 0; k < int_array.shape(2); k++) {
@@ -469,7 +489,7 @@ int PredictorClient::numpy_predict(
           break;
         }
         case 1: {
-          auto int_array = int_feed[vec_idx].unchecked<2>();
+          auto int_array = int_feed[vec_idx].unchecked<1>();
           for (ssize_t i = 0; i < int_array.shape(0); i++) {
             tensor->add_float_data(int_array(i));
           }