[英]How to run TensorFlow in Google App Engine Flexible Enviroment?
在我问为什么GAE在这里找不到TensorFlow库https://stackoverflow.com/questions/40241846/why-googleappengine-gives-me-importerror-no-module-named-tensorflow
Dmytro Sadovnychyi
告诉我,GAE无法运行TensorFlow,但GAE flexible可以运行。
因此,我在美国区域创建了我的项目,并尝试部署我的简单项目:
import webapp2
import tensorflow as tf
class MainHandler(webapp2.RequestHandler):
def get(self):
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
self.response.write(sess.run(hello))
a = tf.constant(10)
b = tf.constant(32)
self.response.write(sess.run(a + b))
#self.response.write('asd');
app = webapp2.WSGIApplication([
('/', MainHandler)
], debug=True)
witn vm: true
在yaml中为vm: true
。
这是Yaml:
application: tstmchnlrn
version: 1
runtime: python27
vm: true
api_version: 1
threadsafe: yes
handlers:
- url: /favicon\.ico
static_files: favicon.ico
upload: favicon\.ico
- url: .*
script: main.app
libraries:
- name: webapp2
version: "2.5.2"
部署成功,但是在appspot
和控制台上访问我的应用程序时appspot
服务器内部错误,仍然显示ImportError: No module named tensorflow
。
要使基于TensorFlow的应用程序在flexible enviroment
运行,我需要做些什么?
这听起来像没有将依赖项推送到实例。
创建一个requirements.txt
文件并列出您的依赖项 ,包括那里的Tensor Flow。
为了帮助其他人,我正在使用Python 3发布针对Google App Engine灵活环境的hello world tensor流代码(我知道原来的问题是针对python 2.7的)。 还要注意,webapp2尚不兼容python 3,因此我正在使用Flask。
完整的代码是
requirements.txt
Flask==0.12.2
gunicorn==19.7.1
tensorflow==1.3.0
的app.yaml
runtime: python
threadsafe: yes
env: flex
entrypoint: gunicorn -b :$PORT main:app
runtime_config:
python_version: 3
main.py
# Copyright 2015 Google Inc. 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.
# [START app]
import logging
import platform
import tensorflow as tf
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello():
"""Return a friendly HTTP greeting."""
# Simple hello world using TensorFlow
# Create a Constant op
# The op is added as a node to the default graph.
#
# The value returned by the constructor represents the output
# of the Constant op.
hello = tf.constant('Hello, TensorFlow!')
# Start tf session
sess = tf.Session()
return sess.run(hello).decode()+' Python '+ platform.python_version()
@app.errorhandler(500)
def server_error(e):
logging.exception('An error occurred during a request.')
return """
An internal error occurred: <pre>{}</pre>
See logs for full stacktrace.
""".format(e), 500
if __name__ == '__main__':
# This is used when running locally. Gunicorn is used to run the
# application on Google App Engine. See entrypoint in app.yaml.
app.run(host='127.0.0.1', port=8080, debug=True)
# [END app]
此相同的代码也被公布在github上这里
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