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
Install primitiv without CUDA and OpenCL:
pip3 install primitiv
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
Resources
1 maintainer
Metadata
1 maintainer
Release files for primitiv 0.3.1.dev106
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| primitiv-0.3.1.dev106.tar.gz | 154.6 kB | Details |
Release files / primitiv-0.3.1.dev106.tar.gz
| Download URL | primitiv-0.3.1.dev106.tar.gz |
|---|---|
| Size | 154.6 kB |
| Tags | Source |
|
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