diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py
index a78eb595f6eeed6ebbf8e2194e31bb6a0be3f375..d8b3413343f899f4aac4480b8d2671b1b5f0e9c9 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/common/utils.py
@@ -23,6 +23,7 @@ import stat
 import subprocess
 import sys
 import time
+import hashlib
 from datetime import datetime, timezone
 from functools import wraps
 from pathlib import Path
@@ -715,3 +716,8 @@ def check_inplace_op(prefix):
     match_op = re.findall(r"Distributed_(.+?)_\d", prefix)
     op_name = match_op[0] if match_op else None
     return op_name in Const.INPLACE_LIST
+
+def get_md5_for_tensor(x):
+    tensor_bytes = x.cpu().detach().float().numpy().tobytes()
+    md5_hash = hashlib.md5(tensor_bytes)
+    return md5_hash.hexdigest()
diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
index 17fe015ac7341034dcd2915baf98021e0a9ca23b..ace05f1a7057125f595422ee48bed665418f50ef 100644
--- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
+++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/dump.py
@@ -33,7 +33,7 @@ else:
     is_gpu = False
 
 from .utils import DumpUtil, check_if_in_api_list, make_dump_data_dir, get_tensor_rank, create_dirs_if_not_exist
-from ..common.utils import print_warn_log, Const, print_info_log, modify_dump_path, check_inplace_op, CompareConst
+from ..common.utils import print_warn_log, Const, print_info_log, modify_dump_path, check_inplace_op, CompareConst, get_md5_for_tensor
 from ..dump.utils import check_writable
 from ..common.file_check_util import FileOpen, change_mode, FileCheckConst, check_path_pattern_vaild, check_path_length
 
@@ -71,7 +71,8 @@ def get_not_float_tensor_info(data):
         tensor_max = torch._C._VariableFunctionsClass.max(data).cpu().detach().float().numpy().tolist()
         tensor_min = torch._C._VariableFunctionsClass.min(data).cpu().detach().float().numpy().tolist()
         tensor_mean = torch._C._VariableFunctionsClass.mean(data.float()).cpu().detach().float().numpy().tolist()
-    return get_tensor_data_info(data, tensor_max, tensor_min, tensor_mean, CompareConst.NAN)
+    data_md5 = get_md5_for_tensor(data)
+    return get_tensor_data_info(data, tensor_max, tensor_min, tensor_mean, CompareConst.NAN, data_md5)
 
 
 def get_scalar_data_info(data):
@@ -84,7 +85,8 @@ def get_float_tensor_info(data):
     tensor_min = torch._C._VariableFunctionsClass.min(data).cpu().detach().float().numpy().tolist()
     tensor_mean = torch._C._VariableFunctionsClass.mean(data).cpu().detach().float().numpy().tolist()
     tensor_norm = torch._C._VariableFunctionsClass.norm(data).cpu().detach().float().numpy().tolist()
-    return get_tensor_data_info(data, tensor_max, tensor_min, tensor_mean, tensor_norm)
+    data_md5 = get_md5_for_tensor(data)
+    return get_tensor_data_info(data, tensor_max, tensor_min, tensor_mean, tensor_norm, data_md5)
 
 
 def get_tensor_data_info(data, *tensor_args):