AWS Lambda：通过无服务器框架部署时，“ ELF加载命令地址/偏移未正确对齐”

我在python3.6中有一个Lambda函数，它使用以下软件包：

opencv-python
imutils
numpy
joblib
mahotas
scikit-image
scikit-learn==0.22.1
sklearn
pymongo==3.10.1

我正在使用无服务器框架来最小化部署大小并部署到lambda。我已经使用该serverless-python-requirements插件来管理软件包。这是我的template.yml文件的样子：

functions:
  hello:
    handler: handler.hello

plugins:
  - serverless-python-requirements

custom:
  pythonRequirements:
    dockerizePip: non-linux
    zip: true
    slim: true
    noDeploy:
      - boto3
      - botocore
      - docutils
      - jmespath
      - pip
      - python-dateutil
      - s3transfer
      - setuptools
      - six
      - tensorboard
package:
  exclude:
    - node_modules/**
    - model/**
    - .vscode/**

我需要使用slim＆zip选项，因为否则部署包将太大（〜350mb）。

出于某种原因，如果我不包括pymongo中requirements.txt，该功能运行正常。不包括sls deploywhen的输出pymongo是：

Serverless: Adding Python requirements helper...
Serverless: Generated requirements from /home/amman/Desktop/serverless-hello-world/requirements.txt in /home/amman/Desktop/serverless-hello-world/.serverless/requirements.txt...
Serverless: Using static cache of requirements found at /home/amman/.cache/serverless-python-requirements/3967fa669ece2345132bfe2a31be4287e2d61deedfb8b6006997a2192cea5753_slspyc ...
Serverless: Zipping required Python packages...
Serverless: Packaging service...
Serverless: Excluding development dependencies...
Serverless: Removing Python requirements helper...
Serverless: Injecting required Python packages to package...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading artifacts...
Serverless: Uploading service hello-world.zip file to S3 (128.52 MB)...
Serverless: Validating template...
Serverless: Updating Stack...
Serverless: Checking Stack update progress...
.........
Serverless: Stack update finished...

因此，.zip的总大小为〜128 MB，并且该函数运行良好。但是，如果包含在内pymongo，则输出sls deploy为：

Serverless: Adding Python requirements helper...
Serverless: Generated requirements from /home/amman/Desktop/serverless-hello-world/requirements.txt in /home/amman/Desktop/serverless-hello-world/.serverless/requirements.txt...
Serverless: Installing requirements from /home/amman/.cache/serverless-python-requirements/279b0240a975ac6ad3c96e3b0ed81eec7981a8e66e0216037484878bfcaf4479_slspyc/requirements.txt ...
Serverless: Using download cache directory /home/amman/.cache/serverless-python-requirements/downloadCacheslspyc
Serverless: Running ...
Serverless: Zipping required Python packages...
Serverless: Packaging service...
Serverless: Excluding development dependencies...
Serverless: Removing Python requirements helper...
Serverless: Injecting required Python packages to package...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading artifacts...
Serverless: Uploading service hello-world.zip file to S3 (109.37 MB)...
Serverless: Validating template...
Serverless: Updating Stack...
Serverless: Checking Stack update progress...
.........
Serverless: Stack update finished...

现在，大小已减少至〜109 MB。我是否添加了新的依赖关系，大小是否应该增加？当我运行lambda函数时，出现错误：

无法导入模块“处理程序”：/tmp/sls-py-req/cv2/cv2.cpython-36m-x86_64-linux-gnu.so：ELF加载命令地址/偏移未正确对齐

我认为这可能是无服务器框架问题。我该怎么做才能解决此问题？我尝试安装其他版本，pymongo但没有运气。

我正在使用以下Serverless Framework版本：

> serverless --version
Framework Core: 1.73.1
Plugin: 3.6.13
SDK: 2.3.1
Components: 2.31.2

编辑：pymongo有替代品吗？我见过一些，但他们使用pymongo作为基础依赖。