在AWS Lambda部署带有Tensorflow的微服务

我被困在这里太久了。我正在尝试部署一个使用tensorflow的微服务。有一个文件名为 handler.py 其简单代码如下:

import json
import tensorflow as tf
import numpy as np

def main(event, context):
    # a = np.arange(15).reshape(3, 5)

    body = {
        "message": "Go Serverless v1.0! Your function executed successfully!",
        "input": event
    }

    response = {
        "statusCode": 200,
        "body": json.dumps(body)
    }

    return response

    # Use this code if you don't use the http event with the LAMBDA-PROXY
    # integration
    """
    return {
        "message": "Go Serverless v1.0! Your function executed successfully!",
        "event": event
    }
    """

为了让我的工作更轻松,我正在使用 serverless to deploy a microservice 但它没有说,解压尺寸太大。我的目录如下:

-- handler.py
-- serverless.yml
-- requirements.txt

requirements.txt 看起来像:

numpy
tensorflow

我还尝试在不安装上述模块的情况下上传,认为lambda本身将从 要求。txt 但随后出现了一个错误 Unable to import module 'handler': No module named 'tensorflow' 我该怎么办?我在这方面花了很多时间,但仍然不相信AWS Lambda会不允许我这么做。

如果你想看 serverless.yml ,如下所示:

service: numpy-new-test

provider:
  name: aws
  runtime: python3.6
  profile: nsp
  role: arn:aws:iam::xxxxxxxxxxx7:role/AdminRole

functions:
  numpy:
    handler: handler.main
    events:
      - http:
          path: test
          method: get