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This repository has been archived by the owner on Apr 11, 2020. It is now read-only.
Users would want to install their own packages via pip.
We could use a simple config file which describes the package list to install on startup of kernel session.
Define a simple format to list up dependencies, maybe as YAML
requirements.txt format is perfect for Python, including custom index support. We could allow users to specify it as a whole using YAML content block.
System packages (apt-get) or their whilte-listed aliases (e.g., "build-tools" installs "build-essential" and "python-dev" in Python containers while "build-essential" and "php7-dev" in PHP containers)
Backend.AI-specific options such as various CUDA versions
Implement the installation process on startup
Provide a local .pip cache for commonly used packages (e.g., numpy) as Docker volumes like Travis CI
Storage information to store the generated artifacts (e.g., virtual folder ID, external S3 bucket with credentials) — idea by @serialx
Users would want to install their own packages via pip.
We could use a simple config file which describes the package list to install on startup of kernel session.
requirements.txt
format is perfect for Python, including custom index support. We could allow users to specify it as a whole using YAML content block..pip
cache for commonly used packages (e.g., numpy) as Docker volumes like Travis CIThe text was updated successfully, but these errors were encountered: