diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py
index 10ebcfe20bc4a5c9f7951146fe3aff937c895dc2..353eab0c9a36ddaa4c1dbcafc5d9ed203df57c4b 100644
--- a/debug/accuracy_tools/msprobe/core/common/const.py
+++ b/debug/accuracy_tools/msprobe/core/common/const.py
@@ -73,6 +73,7 @@ class Const:
     ONLINE_DUMP_MODE = [ALL, LIST, AUTO, OFF]
     SUMMARY = "summary"
     MD5 = "md5"
+    HASH = "hash"
     VALUE = "value"
     SUMMARY_MODE = ["statistics", "md5"]
 
diff --git a/debug/accuracy_tools/msprobe/docs/02.config_introduction.md b/debug/accuracy_tools/msprobe/docs/02.config_introduction.md
index 7b70cd859ebca13db471837c469e7661e0a774f2..c93f95390579fa356d37698f92eb5cb31af5861c 100644
--- a/debug/accuracy_tools/msprobe/docs/02.config_introduction.md
+++ b/debug/accuracy_tools/msprobe/docs/02.config_introduction.md
@@ -51,13 +51,13 @@
     <tr><td>MindSpore 静态图场景：L0 级别 dump 仅支持"all"、"forward"和"backward"参数；L2 级别 dump 仅支持"all"、"input"和"output"参数。且各参数只能单独配置，不支持自由组合。<br/><b>配置示例</b>："data_mode": ["all"]。</td></tr>
     <tr><td rowspan="3">summary_mode</td><td>控制 dump 文件输出的模式，str 类型，支持 PyTorch、MSAdapter、MindSpore 动态图以及 MindSpore 静态图 L2 级别 jit_level=O2 场景和 L0 级别 jit_level=O0/O1 场景。</td><td rowspan="3">否</td></tr>
     <tr><td>PyTorch、MSAdapter 以及 MindSpore 动态图场景：可选参数为<br/> md5：dump 输出包含 CRC-32 值以及 API 统计信息的 dump.json 文件，用于验证数据的完整性；<br/> statistics：dump 仅输出包含 API 统计信息的 dump.json 文件，默认值。<br/><b>配置示例</b>："summary_mode": "md5"。</td></tr>
-    <tr><td>MindSpore 静态图 L2 级别 jit_level=O2 场景：支持上述配置的同时额外支持配置统计项列表，可选统计项为max、min、mean、l2norm，可从中任意选取组合搭配。其中mean、l2norm的结果为float数据格式。<br/>MindSpore 静态图 L0 级别 jit_level=O0/O1场景：仅支持上述配置中"statistics"字段和max、min、mean、l2norm中任意组合搭配的统计项列表。<br/><b>配置示例</b>："summary_mode": ["max", "min"]。</td></tr>
+    <tr><td>MindSpore 静态图 L2 级别 jit_level=O2 场景：支持上述配置的同时额外支持配置统计项列表，可选统计项为max、min、mean、l2norm，可从中任意选取组合搭配。其中mean、l2norm的结果为float数据格式。<br/>MindSpore 静态图 L2 级别 jit_level=O0/O1 场景：支持上述配置的同时额外支持配置统计项列表，可选统计项为max、min、mean、l2norm、count、negative zero count、zero count、positive zero count、nan count、negative inf count、positive inf count、hash、md5，可从中任意选取组合搭配。注意：hash统计项在MindSpore2.7.0及以前版本计算MD5值，在以后版本计算SHA1值。<br/>MindSpore 静态图 L0 级别 jit_level=O0/O1场景：仅支持上述配置中"statistics"字段和max、min、mean、l2norm中任意组合搭配的统计项列表。<br/><b>配置示例</b>："summary_mode": ["max", "min"]。</td></tr>
 </table>
 
 **说明**：
 
 
-1. "summary_mode" 配置为 "md5" 时，所使用的校验算法为 CRC-32 算法。
+1. PyTorch、MSAdapter 以及 MindSpore 动态图场景，"summary_mode" 配置为 "md5" 时，所使用的校验算法为 CRC-32 算法；MindSpore 静态图场景，"summary_mode" 配置为 "md5" 时，所使用的校验算法为 MD5 算法。
 
 **示例**：
  - [PyTorch场景](03.config_examples.md#11-task-配置为-statistics)
diff --git a/debug/accuracy_tools/msprobe/mindspore/dump/kernel_kbyk_dump.py b/debug/accuracy_tools/msprobe/mindspore/dump/kernel_kbyk_dump.py
index 91a6ab93abad35c39810d2b3e9ec731605694aa5..987b80ef1256331731ebff741ac9e3eae128dd12 100644
--- a/debug/accuracy_tools/msprobe/mindspore/dump/kernel_kbyk_dump.py
+++ b/debug/accuracy_tools/msprobe/mindspore/dump/kernel_kbyk_dump.py
@@ -20,6 +20,9 @@ from msprobe.core.common.file_utils import create_directory, save_json
 from msprobe.mindspore.common.log import logger
 from msprobe.mindspore.debugger.debugger_config import DebuggerConfig
 
+import mindspore as ms
+ms_version = ms.__version__
+
 
 class KernelKbykDump:
     COMMON_SETTINGS = "common_dump_settings"
@@ -39,6 +42,7 @@ class KernelKbykDump:
         common_set["input_output"] = 0
         common_set["kernels"] = []
         common_set["support_device"] = [0, 1, 2, 3, 4, 5, 6, 7]
+        common_set["statistic_category"] = []
 
         if config.stat_cal_mode and config.device_stat_precision_mode:
             e2e_set = {
@@ -71,9 +75,29 @@ class KernelKbykDump:
                 common_set["input_output"] = 1
             if config.data_mode[0] == Const.OUTPUT:
                 common_set["input_output"] = 2
+        if config.summary_mode:
+            if isinstance(config.summary_mode, str):
+                if config.summary_mode == Const.STATISTICS:
+                    common_set["statistic_category"] = ["max", "min", "avg", "l2norm"]
+                else:
+                    mode = self._process_hash(config.summary_mode)
+                    common_set["statistic_category"] = [mode]
+            elif isinstance(config.summary_mode, list):
+                common_set["statistic_category"] = list({
+                    self._process_hash("avg" if mode == Const.MEAN else mode)
+                    for mode in config.summary_mode
+                })
 
         self.dump_json[KernelKbykDump.COMMON_SETTINGS] = common_set
         self.dump_json[KernelKbykDump.E2E_SETTINGS] = e2e_set
+    
+    @staticmethod
+    def _process_hash(value):
+        if ms_version <= "2.7.0" and (value == Const.HASH or value == Const.MD5):
+            value = "md5"
+        elif value == Const.MD5:
+            value = "hash:md5"
+        return value
 
     def handle(self):
         json_path = self.dump_json[KernelKbykDump.COMMON_SETTINGS]["path"]
diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py
index 4b73ad5bdebbc3b6b2bdceb2d34b89264aa4f013..d50b177a2fc30feb6b24623d552f4921b432abdd 100644
--- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py
+++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py
@@ -59,11 +59,12 @@ class StatisticsConfig(BaseConfig):
             raise Exception("Config param [precision] is invalid, expected from [\"high\", \"low\"]")
 
     def _check_summary_mode(self):
-        muti_opt = ["md5", "max", "min", "mean", "l2norm"]
+        muti_opt = ["max", "min", "mean", "count", "negative zero count", "positive zero count", "nan count",
+                    "negative inf count", "positive inf count", "zero count", "l2norm", "hash", "md5"]
         if isinstance(self.summary_mode, str) and self.summary_mode not in Const.SUMMARY_MODE:
-            raise Exception("summary_mode is invalid")
+            raise Exception("summary_mode is an invalid string")
         if isinstance(self.summary_mode, list) and not all(opt in muti_opt for opt in self.summary_mode):
-            raise Exception("summary_mode is invalid")
+            raise Exception("summary_mode contains invalid option(s)")
 
 
 class OverflowCheckConfig(BaseConfig):
diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_kernel_kbyk_dump.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_kernel_kbyk_dump.py
index 9be887eb4be1be00d68b12ca5181f7371dcf075e..1132cc4d73c4bcfade89a46d90274081eafbd3ed 100644
--- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_kernel_kbyk_dump.py
+++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_kernel_kbyk_dump.py
@@ -24,6 +24,11 @@ from msprobe.mindspore.debugger.debugger_config import DebuggerConfig
 from msprobe.mindspore.ms_config import StatisticsConfig
 from msprobe.mindspore.dump.kernel_kbyk_dump import KernelKbykDump
 
+from collections import Counter
+
+import mindspore as ms
+ms_version = ms.__version__
+
 
 class TestKernelKbykDump(TestCase):
     @patch("msprobe.mindspore.debugger.debugger_config.create_directory")
@@ -379,4 +384,42 @@ class TestKernelKbykDump(TestCase):
              patch("msprobe.mindspore.dump.kernel_kbyk_dump.save_json") as mock_save_json:
             dumper.handle()
         mock_info.assert_called_with("/absolute_path/kernel_kbyk_dump.json has been created.")
-        self.assertEqual(os.environ.get("MS_ACL_DUMP_CFG_PATH"), None)
\ No newline at end of file
+        self.assertEqual(os.environ.get("MS_ACL_DUMP_CFG_PATH"), None)
+
+    @patch("msprobe.mindspore.debugger.debugger_config.create_directory")
+    def test_handle_statistics(self, _):
+        json_config = {
+            "task": "statistics",
+            "dump_path": "/absolute_path",
+            "rank": [],
+            "step": [0, 2],
+            "level": "L2",
+            "statistics": {
+                "list": [],
+                "data_mode": ["all"],
+                "device": "host",
+                "summary_mode": ["hash", "md5", "max"]
+            }
+        }
+
+        common_config = CommonConfig(json_config)
+        task_config = StatisticsConfig(json_config["statistics"])
+        config = DebuggerConfig(common_config, task_config)
+        dumper = KernelKbykDump(config)
+        self.assertEqual(dumper.dump_json["e2e_dump_settings"]["stat_calc_mode"], "host")
+        self.assertEqual(dumper.dump_json["common_dump_settings"]["saved_data"], "statistic")
+        if ms_version > "2.7.0":
+            self.assertEqual(Counter(dumper.dump_json["common_dump_settings"]["statistic_category"]), Counter(["max", "hash", "hash:md5"]))
+        else:
+            self.assertEqual(Counter(dumper.dump_json["common_dump_settings"]["statistic_category"]), Counter(["max", "md5"]))
+        os.environ["MS_ACL_DUMP_CFG_PATH"] = "path"
+        with patch("msprobe.mindspore.dump.kernel_kbyk_dump.create_directory"), \
+             patch("msprobe.mindspore.dump.kernel_kbyk_dump.logger.info") as mock_info, \
+             patch("msprobe.mindspore.dump.kernel_kbyk_dump.save_json") as mock_save_json:
+            dumper.handle()
+        self.assertIn("kernel_kbyk_dump.json", mock_save_json.call_args_list[0][0][0])
+        mock_info.assert_called_with("/absolute_path/kernel_kbyk_dump.json has been created.")
+
+        self.assertEqual(os.environ.get("MS_ACL_DUMP_CFG_PATH"), None)
+        if "MINDSPORE_DUMP_CONFIG" in os.environ:
+            del os.environ["MINDSPORE_DUMP_CONFIG"]
\ No newline at end of file