""" Copyright 2020 Tianshu AI Platform. All Rights Reserved. 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. ============================================================= """ import json import os import subprocess import logging import web from subprocess import PIPE urls = ( '/hello', 'Hello', '/model_convert', 'ModelConvert' ) logging.basicConfig(filename='onnx.log', level=logging.DEBUG) class Hello(object): def GET(self): return 'service alive' class ModelConvert(object): def POST(self): data = web.data() web.header('Content-Type', 'application/json') try: json_data = json.loads(data) model_path = json_data['model_path'] output_path = json_data['output_path'] if not os.path.isdir(model_path): msg = 'model_path is not a dir: %s' % model_path logging.error(msg) return json.dumps({'code': 501, 'msg': msg, 'data': ''}) if not output_path.endswith('/'): msg = 'output_path is not a dir: %s' % output_path logging.error(msg) return json.dumps({'code': 502, 'msg': msg, 'data': ''}) exist_flag = exist(model_path) if not exist_flag: msg = 'SavedModel file does not exist at: %s' % model_path logging.error(msg) return json.dumps({'code': 503, 'msg': msg, 'data': ''}) convert_flag, msg = convert(model_path, output_path) if not convert_flag: return json.dumps({'code': 504, 'msg': msg, 'data': ''}) except Exception as e: logging.error(str(e)) return json.dumps({'code': 505, 'msg': str(e), 'data': ''}) return json.dumps({'code': 200, 'msg': 'ok', 'data': msg}) def exist(model_path): for file in os.listdir(model_path): if file=='saved_model.pbtxt' or file=='saved_model.pb': return True return False def convert(model_path, output_path): output_path = output_path+'model.onnx' try: logging.info('model_path=%s, output_path=%s' % (model_path, output_path)) result = subprocess.run(["python", "-m", "tf2onnx.convert", "--saved-model", model_path, "--output", output_path], stdout=PIPE, stderr=PIPE) logging.info(repr(result)) if result.returncode != 0: return False, str(result.stderr) except Exception as e: logging.error(str(e)) return False, str(e) return True, output_path if __name__ == '__main__': app = web.application(urls, globals()) app.run()