没有名为培训师的模块 [英] No module named trainer

问题描述

我有一个非常简单的教练，遵循示例目录结构:

I have a very simple trainer that follows the sample directory structure:

/dist
  __init__.py
  setup.py
  /trainer
    __init__.py
    task.py

在/dist目录下，在本地运行良好:

Under the /dist directory, runs fine locally:

$ gcloud ml-engine local train 
    --package-path=trainer
    --module-name=trainer.task

现在，在尝试将其部署到/dist目录和以下命令时:

Now, when trying to deploy it, under the /dist directory and this command:

$ gcloud ml-engine jobs submit training testA
    --package-path=trainer
    --module-name=trainer.task
    --staging-bucket=$JOB_DIR
    --region us-central1

它给我一个错误没有模块名称训练师"

It gives me an error "No moduled name trainer"

INFO    2017-04-13 12:28:35 -0700   master-replica-0        Installing collected packages: pyyaml, scipy, scikit-learn, trainer
INFO    2017-04-13 12:28:38 -0700   master-replica-0        Successfully installed pyyaml-3.12 scikit-learn-0.18.1 scipy-0.18.1 trainer-0.1
INFO    2017-04-13 12:28:38 -0700   master-replica-0        Running command: python -m trainer.task
ERROR   2017-04-13 12:28:38 -0700   master-replica-0        /usr/bin/python: No module named trainer

这是setup.py

here is the content of setup.py

from setuptools import find_packages
from setuptools import setup
REQUIRED_PACKAGES = [
    'pyyaml',
    'scipy==0.18.1',
    'scikit-learn'
]
setup(
    name='trainer',
    version='0.1',
    install_requires=REQUIRED_PACKAGES,
    include_package_data=True,
    description='Classifier test'
)

我在做什么错了?

谢谢

M

推荐答案

您在setup.py中缺少重要的一行，这是setup函数调用的packages自变量(参见

You are missing an important line in your setup.py, the packages argument to the setup function invocation (cf these instructions). Try this:

from setuptools import find_packages
from setuptools import setup
REQUIRED_PACKAGES = ['pyyaml','scipy==0.18.1','scikit-learn']
setup(
    name='trainer',
    version='0.1',
    install_requires=REQUIRED_PACKAGES,
    packages=find_packages(),
    include_package_data=True,
    description='Classifier test'
)

我已经更新了CloudML引擎文档(可能需要几天的时间传播).

I've updated the CloudML Engine docs (may take a few days to propagate).

我使用--package-path=trainer复制了您的命令，并进行了上述更改，一切都在云中正常运行.

I replicated your command using --package-path=trainer and the above changes, and things run properly in the cloud.

最后，尽管它无害，但dist/中的__init__.py是不必要的，可以安全地删除.

Finally, although it is harmless, the __init__.py in dist/ is unnecessary and can safely be removed.

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