diff --git a/scripts/update_onnx_weight.py b/scripts/update_onnx_weight.py
deleted file mode 100755
index eaff46f61b3..00000000000
--- a/scripts/update_onnx_weight.py
+++ /dev/null
@@ -1,70 +0,0 @@
-#!/usr/bin/env python3
-# coding=UTF-8
-# Copyright 2020 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-"""
-Function:
-    Use checkpoint file and onnx file as inputs, create a new onnx with Initializer's value from checkpoint file
-Usage:
-    python update_onnx_weight.py onnx_file checkpoint_file [output_file]
-"""
-import sys
-from onnx import onnx_pb
-from mindspore.train.serialization import load_checkpoint
-
-
-def update_onnx_initializer(onnx_file, ckpt_file, output_file):
-    "Update onnx initializer."
-    with open(onnx_file, 'rb') as f:
-        data = f.read()
-    model = onnx_pb.ModelProto()
-    model.ParseFromString(data)
-    initializer = model.graph.initializer
-    param_dict = load_checkpoint(ckpt_file)
-
-    for i, _ in enumerate(initializer):
-        item = initializer[i]
-        if not item.name in param_dict:
-            print(f"Warning: Can not find '{item.name}' in checkpoint parameters dictionary")
-            continue
-        weight = param_dict[item.name].data.asnumpy()
-        bin_data = weight.tobytes()
-        if len(item.raw_data) != len(bin_data):
-            print(f"Warning: Size of weight from checkpoint is different from original size, ignore it")
-            continue
-        item.raw_data = bin_data
-
-    pb_msg = model.SerializeToString()
-    with open(output_file, 'wb') as f:
-        f.write(pb_msg)
-
-    print(f'Graph name: {model.graph.name}')
-    print(f'Initializer length: {len(initializer)}')
-    print(f'Checkpoint dict length: {len(param_dict)}')
-    print(f'The new weights have been written to file {output_file} successfully')
-
-
-def main():
-    if len(sys.argv) < 3:
-        print(f'Usage: {sys.argv[0]} onnx_file checkpoint_file [output_file]')
-        sys.exit(1)
-    onnx_file = sys.argv[1]
-    ckpt_file = sys.argv[2]
-    output_file = f'new_{onnx_file}' if len(sys.argv) == 3 else sys.argv[3]
-    update_onnx_initializer(onnx_file, ckpt_file, output_file)
-
-
-if __name__ == '__main__':
-    main()