diff --git a/mindspore/ops/composite/multitype_ops/setitem_impl.py b/mindspore/ops/composite/multitype_ops/setitem_impl.py
index 742ee57166fadd0e2d450465a5d7a75846e71b08..a3e8c029628e9b9d064a1d8bd419f2eb973f0fb9 100644
--- a/mindspore/ops/composite/multitype_ops/setitem_impl.py
+++ b/mindspore/ops/composite/multitype_ops/setitem_impl.py
@@ -247,10 +247,10 @@ def _tensor_assgin_tensor(data, input_slice, value):
         indices = mult_util.slice2indices(input_slice, data_shape)
         indices_size = F.size(indices)
         indices_size = mult_util.check_indices(indices_size, input_slice)
-        update = F.fill(data_dtype, (indices_size,), 1)
+        update = F.fill(mstype.int32, (indices_size,), 1)
         condition_1d = F.scatter_nd(indices, update, (data_size,))
-        condition_1d = F.cast(condition_1d, mstype.bool_)
         condition = F.reshape(condition_1d, data_shape)
+        condition = F.cast(condition, mstype.bool_)
         # 2. u
         value_fill = None
         value_size = F.size(value)
@@ -325,10 +325,10 @@ def _tensor_assgin_number(data, input_slice, value):
         indices = mult_util.slice2indices(input_slice, data_shape)
         indices_size = F.size(indices)
         indices_size = mult_util.check_indices(indices_size, input_slice)
-        update = F.fill(data_dtype, (indices_size,), 1)
+        update = F.fill(mstype.int32, (indices_size,), 1)
         condition_1d = F.scatter_nd(indices, update, (data_size,))
-        condition_1d = F.cast(condition_1d, mstype.bool_)
         condition = F.reshape(condition_1d, data_shape)
+        condition = F.cast(condition, mstype.bool_)
         # 2. u
         value_fill = F.fill(data_dtype, (indices_size,), value)
         value_1d = F.scatter_nd(indices, value_fill, (data_size,))