diff --git a/mindspore/python/mindspore/_extends/parse/standard_method.py b/mindspore/python/mindspore/_extends/parse/standard_method.py
index 0a62e19a7ea..d522ac31bcc 100644
--- a/mindspore/python/mindspore/_extends/parse/standard_method.py
+++ b/mindspore/python/mindspore/_extends/parse/standard_method.py
@@ -2707,8 +2707,11 @@ def masked_fill(x, mask, value):
     Fills elements of Tensor with value where mask is True.
     """
     check_is_tensor(mask)
+    if not isinstance(value, Tensor):
+        value = Tensor(value)
     check_type_name('mask', mask.dtype, [mstype.bool_], "Tensor")
-    return F.masked_fill(x, mask, value)
+    masked_value = P.FillV2()(x.shape, value.astype(x.dtype))
+    return P.Select()(mask, masked_value, x)
 
 
 def col2im(*inputs):
diff --git a/mindspore/python/mindspore/ops/function/array_func.py b/mindspore/python/mindspore/ops/function/array_func.py
index 01cb762e2eb..8330d7f6a6d 100644
--- a/mindspore/python/mindspore/ops/function/array_func.py
+++ b/mindspore/python/mindspore/ops/function/array_func.py
@@ -4845,10 +4845,11 @@ def masked_fill(input_x, mask, value):
         >>> print(output)
         [0.5 0.5 3.  0.5]
     """
+    _fill = _get_cache_prim(P.FillV2)()
     if isinstance(value, (float, int)) and isinstance(input_x, Tensor):
         value = scalar_to_tensor_(value, input_x.dtype)
-    masked_fill_ = _get_cache_prim(P.MaskedFill)()
-    return masked_fill_(input_x, mask, value)
+    masked_value = _fill(input_x.shape, value)
+    return select(mask, masked_value, input_x)
 
 
 def diag(input_x):