Prepare a session environment

Before running session, you need to set the execution environment of code as below.

• If you can install with pip

  Write the python library in setup.py or requirements.txt as shown below.

  from distutils.core import setup
  
  setup(
      name='ladder_networks',
      version='1.0',
      install_requires=[
          'matplotlib',
          'tqdm',
          'pillow'
      ]
  )
  

• If you can not install with pip

  You can set the execution environment by setting the docker environment. You can write the name of the image of the docker by attaching '#nsml:' to the top of setup.py or requirements.txt.

  setup.py

  #nsml: nsml/default_ml:cuda9
  from distutils.core import setup
  
  setup(
      name='ladder_networks',
      version='1.0',
      install_requires=[
          'matplotlib',
          'tqdm',
          'pillow'
      ]
  )
  

  requirements.txt

  #nsml: nsml/default_ml:cuda9
  matplotlib
  tqdm
  pillow
  

  Note

  If you have both setup.py and requirements.txt, install setup.py first and install requirements.txt.

  Note

  If you do not list the docker environment, use nsml/default_ml:latest. (latest version may change. )

• If you need to install a package with apt-get

  If you create a nsml_package.txt file and specify the required library, it will be installed.

  nsml_package.txt

  wget
  vim
  

  Note

  Installed as apt-get -y update && apt-get -y install [package]. If you need more commands to install it, we recommend that you configure a new docker environment.

NSML ignore

When you run session with nsml run , the files that you do not need will be also uploaded and take a long time. If you list files that is not related to session execution in .nsmlignore such as session .gitignore format, you can prevent unneeded files from uploading.

.nsmlignore

images/
models/
data/