diff --git a/mindspore/dataset/engine/cache_client.py b/mindspore/dataset/engine/cache_client.py
index 800c0dab1de63335efe9267529aa4693a8d23350..d140a0cb5546e919065a47d193d32fcfd79c19a0 100644
--- a/mindspore/dataset/engine/cache_client.py
+++ b/mindspore/dataset/engine/cache_client.py
@@ -18,21 +18,20 @@
 import copy
 from mindspore._c_dataengine import CacheClient
 
+from ..core.validator_helpers import type_check, check_uint32, check_uint64
+
 class DatasetCache:
     """
     A client to interface with tensor caching service
     """
 
-    def __init__(self, session_id=None, size=None, spilling=False):
-        if session_id is None:
-            raise RuntimeError("Session generation is not implemented yet. session id required")
-        self.size = size if size is not None else 0
-        if size < 0:
-            raise ValueError("cache size should be 0 or positive integer value but got: size={}".format(size))
-        if not isinstance(spilling, bool):
-            raise ValueError(
-                "spilling argument for cache should be a boolean value but got: spilling={}".format(spilling))
+    def __init__(self, session_id=None, size=0, spilling=False):
+        check_uint32(session_id, "session_id")
+        check_uint64(size, "size")
+        type_check(spilling, (bool,), "spilling")
+
         self.session_id = session_id
+        self.size = size
         self.spilling = spilling
         self.cache_client = CacheClient(session_id, size, spilling)