primitiv

Pre-release

This release is a pre-release and may not be stable for production use.

Features

Dynamic and incremental graph construction
On-demand memory allocation
Automatic minibatch broadcasting
Mostly device-independent
Simple usage

Install

Prerequisites:

Python 3 (3.5 or later)
NumPy (1.11.0 or later)
Cython (0.27 or later)
scikit-build (0.6.1 or later, only for building)
(optional) CUDA (7.5 or later)
(optional) OpenCL (1.2 or later) and OpenCL C++ binding v2

Install dependencies:

pip3 install numpy cython scikit-build

Build and install primitiv without CUDA and OpenCL:

pip3 install primitiv

Build and install primitiv with CUDA and/or OpenCL support:

# Enable only CUDA
pip3 install primitiv --global-option --enable-cuda

# Enable both CUDA and OpenCL
pip3 install primitiv --global-option --enable-cuda --global-option --enable-opencl

Notes

According to the manylinux1 policy described in PEP 513, binary packages are required to depend only on an extremely limited set of external shared libraries. Most users may install primitiv with CUDA and/or OpenCL backends that are not supported in the manylinux1 policy. For now, we provide only a source pacakge.

Resources

Metadata

Release files for primitiv 0.3.1.dev128

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for primitiv 0.3.1.dev128
File	Size	Uploaded
primitiv-0.3.1.dev128.tar.gz	155.0 kB	Dec 18, 2017	Details

Release files / primitiv-0.3.1.dev128.tar.gz

Download URL	primitiv-0.3.1.dev128.tar.gz
Size	155.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`1a68d7a27553ab36a5839b394ae75bd8eca14b1b349dc40960b0876555808c73`
BLAKE2b-256 checksum How to use checksums	`788c0d1064d2ef36ac72739a99fc7e5ec2c5453e06a7c07bbd6f124e63f22a37`
Upload date	Dec 18, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No