diff --git a/mindspore/python/mindspore/common/tensor.py b/mindspore/python/mindspore/common/tensor.py
index ecdb10b6f56..0bf47c44a2e 100644
--- a/mindspore/python/mindspore/common/tensor.py
+++ b/mindspore/python/mindspore/common/tensor.py
@@ -3381,7 +3381,7 @@ class Tensor(Tensor_):
             tmp = []
             for choice in choicelist:
                 tmp.append(tensor_operator_registry.get('broadcast_to')(shape_choice)(choice))
-            choices = tensor_operator_registry.get('stack')(0)(tmp)
+            choices = tensor_operator_registry.get('stack')(tmp, 0)
 
         if self.ndim == 0 or choices.ndim == 0:
             raise ValueError(f"For 'Tensor.choose', the original tensor and the argument 'choices' cannot be scalars."
@@ -3401,7 +3401,7 @@ class Tensor(Tensor_):
             dim_shape = validator.expanded_shape(ndim, a.shape[i], i)
             dim_grid = tensor_operator_registry.get('broadcast_to')(a.shape)(dim_grid.reshape(dim_shape))
             grids.append(dim_grid)
-        grid = tensor_operator_registry.get('stack')(-1)(grids)
+        grid = tensor_operator_registry.get('stack')(grids, -1)
         indices = tensor_operator_registry.get('concatenate')(-1)((a.reshape(a.shape + (1,)), grid))
         return tensor_operator_registry.get('gather_nd')(choices, indices).astype(dtype)
 
@@ -5114,7 +5114,7 @@ class CSRTensor(CSRTensor_):
         if self.ndim != 2:
             raise ValueError("Currently only support 2-D CSRTensor when converting to COOTensor.")
         row_indices = tensor_operator_registry.get("csr2coo")(self.indptr, self.values.shape[0])
-        coo_indices = tensor_operator_registry.get("stack")(1)((row_indices, self.indices))
+        coo_indices = tensor_operator_registry.get("stack")((row_indices, self.indices), 1)
         return COOTensor(coo_indices, self.values, self.shape)
 
     def to_dense(self):