diff --git a/imperative/python/megengine/core/tensor/megbrain_graph.py b/imperative/python/megengine/core/tensor/megbrain_graph.py
index 5cddd7734989ebeabcd388e7990c7f207edd50fb..48ab55c2362b857e00e402b067422c1a0c57d6d2 100644
--- a/imperative/python/megengine/core/tensor/megbrain_graph.py
+++ b/imperative/python/megengine/core/tensor/megbrain_graph.py
@@ -8,6 +8,7 @@
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 import collections
 import json
+import os
 import threading
 import weakref
 from concurrent.futures import Future, ThreadPoolExecutor
@@ -274,7 +275,8 @@ def dump_graph(
     keep_var_name: int = 1,
     keep_param_name: bool = False,
     keep_opr_priority: bool = False,
-    strip_info_file=None
+    strip_info_file=None,
+    append_json=False
 ):
     """serialize the computing graph of `output_vars` and get byte result.
 
@@ -295,6 +297,9 @@ def dump_graph(
     :param keep_opr_priority: whether to keep priority setting for operators
     :param strip_info_file: a string for path or a file handler. if is not None,
         then the dump information for code strip would be written to ``strip_info_file``
+    :param append_json: will be check when `strip_info_file` is not None. if set
+        true, the information for code strip will be append to strip_info_file.
+        if set false, will rewrite strip_info_file
     :return: dump result as byte string, and an instance of namedtuple
         :class:`CompGraphDumpResult`, whose fields are:
 
@@ -342,10 +347,25 @@ def dump_graph(
 
     if strip_info_file is not None:
         if isinstance(strip_info_file, str):
-            strip_info_file = open(strip_info_file, "w")
-        strip_info = json.loads(_imperative_rt.get_info_for_strip(ov))
-        strip_info["hash"] = dump_info.content_hash
-        json.dump(strip_info, strip_info_file)
+            if not os.path.exists(strip_info_file):
+                os.mknod(strip_info_file)
+            strip_info_file = open(strip_info_file, "r+")
+        new_strip_dict = json.loads(_imperative_rt.get_info_for_strip(ov))
+        ori_strip_dict = new_strip_dict
+        json_content = strip_info_file.read()
+        if append_json and len(json_content) != 0:
+            # if there are contents in json file. Read them first and then append new information
+            ori_strip_dict = json.loads(json_content)
+            for k in ori_strip_dict:
+                new_strip_dict_v = new_strip_dict.get(k)
+                if new_strip_dict_v is not None:
+                    for value in new_strip_dict_v:
+                        if not value in ori_strip_dict[k]:
+                            ori_strip_dict[k].append(value)
+        ori_strip_dict["hash"] = dump_info.content_hash
+        strip_info_file.seek(0)
+        strip_info_file.truncate()
+        json.dump(ori_strip_dict, strip_info_file)
 
     return dump_content, dump_info
 
diff --git a/imperative/python/src/graph_rt.cpp b/imperative/python/src/graph_rt.cpp
index d6a9bba8aeea5635f6f5b8c7bdfea4ef661b9768..f8c5fed77398c10adc7e228b33d5bcb0e492ef45 100644
--- a/imperative/python/src/graph_rt.cpp
+++ b/imperative/python/src/graph_rt.cpp
@@ -267,7 +267,7 @@ void init_graph_rt(py::module m) {
             {"opr_types", to_json(opr_types)},
             {"dtypes", to_json(dtype_names)},
             {"elemwise_modes", to_json(elemwise_modes)},
-        });
+        })->to_string();
     });
 
     m.def("dump_graph", [](
diff --git a/sdk/load-and-run/dump_with_testcase_imperative.py b/sdk/load-and-run/dump_with_testcase_imperative.py
index b7a347ad690ecc7171e6a0290885ae471ee458f3..0b3cce776d236f7e4643b5df5d0e85b20d75c2d6 100755
--- a/sdk/load-and-run/dump_with_testcase_imperative.py
+++ b/sdk/load-and-run/dump_with_testcase_imperative.py
@@ -17,10 +17,10 @@ import numpy as np
 import megengine as mge
 import megengine.core._imperative_rt as rt
 import megengine.core.tensor.megbrain_graph as G
-from megengine.core.tensor.megbrain_graph import VarNode
 from megengine import cgtools
 from megengine.core.ops import builtin
 from megengine.core.tensor.core import apply
+from megengine.core.tensor.megbrain_graph import VarNode
 from megengine.core.tensor.raw_tensor import as_raw_tensor
 
 logger = mge.get_logger(__name__)
@@ -485,13 +485,30 @@ def main():
         sereg_kwargs = dict(keep_var_name=0, keep_param_name=False)
     else:
         sereg_kwargs = dict(keep_var_name=2, keep_param_name=True)
+    
+    
+    strip_info_file = args.output + '.json' if args.output_strip_info else None
 
     with open(args.output, "wb") as fout:
         fout.write(b"mgbtest0")
         fout.write(struct.pack("I", len(feeds["testcases"])))
-        dump_content, _ = G.dump_graph([VarNode(i) for i in output_mgbvars])
+        if isinstance(output_mgbvars, dict):
+            wrap_output_vars = dict([(i,VarNode(j)) for i,j in output_mgbvars])
+        else:
+            wrap_output_vars = [VarNode(i) for i in output_mgbvars]
+        dump_content, stat = G.dump_graph(
+            wrap_output_vars,
+            append_json=True,
+            strip_info_file=strip_info_file,
+            **sereg_kwargs)
         fout.write(dump_content)
 
+        logger.info(
+            'graph dump sizes: tot_size={:.3f}KiB overhead={:.3f}KiB'.format(
+                stat.tot_bytes / 1024, (stat.tot_bytes - stat.tensor_value_bytes) / 1024
+            )
+        )
+
     def make_dev_tensor(value, dtype=None, device=None):
         return as_raw_tensor(value, dtype=dtype, device=device)._dev_tensor()
 
@@ -509,8 +526,11 @@ def main():
             testcase.keys()
         )
         with open(args.output, "ab") as fout:
-            dump_content, _ = G.dump_graph(output_mgbvars)
-            fout.write(dump_content)
+            dump_content, _ = G.dump_graph(
+                output_mgbvars,
+                strip_info_file = strip_info_file,
+                append_json=True)
+            fout.write(dump_content)