Skip to content
This repository was archived by the owner on Jan 25, 2023. It is now read-only.

Latest commit

 

History

History
55 lines (38 loc) · 1.32 KB

File metadata and controls

55 lines (38 loc) · 1.32 KB

Installation

Building scikit-ipp using conda-build

The easiest way to build scikit-ipp is using the conda-build with the provided recipe.

Prerequisites

  • Python version >= 3.6
  • conda-build version >= 3
  • C compiler

Building scikit-ipp

$ cd <checkout-dir>
$ conda build -c intel conda-recipe

This will build the conda package and tell you where to find it (`.../scikit-ipp*.tar.bz2`).

Installing the built scikit-ipp conda package

$ conda install <path-to-conda-package-as-built-above>

To actually use your scikit-ipp, dependent packages need to be installed. To ensure, do

Windows, Linux and OsX:

$ conda install -c intel numpy ipp

Building documentation for scikit-ipp

Prerequisites for creating documentation

  • sphinx >= 3.0
  • sphinx_rtd_theme >= 0.4
  • sphinx-gallery >= 0.3.1
  • matplotlib > = 3.0.1

Building documentation

  1. Install scikit-ipp into your python environment
  2. `cd doc && make html`
  3. The documentation will be in `doc/_build/html`