rpi_engine
Refinement for Parsimonious Inference engine, based on NeMO (NEural Minimizer for tOrch).
Summary
| Latest Version | Unknown |
|---|---|
| License | Unknown |
| CI Status | Failing |
| Stars | 1 |
| Forks | 0 |
| Open Issues | 0 |
| Last Commit | 2021-10-22 |
| Downloads | 0 |
| Last Indexed | 2026-08-11 05:08 |
Installation
nimble install rpi_engine
choosenim install rpi_engine
git clone https://gitlab.com/aloha.eu/rpi_engine
OS Compatibility
| Platform | Linux | macOS | Windows | FreeBSD | OpenBSD | NetBSD | Android | iOS | WASM | Embedded |
|---|---|---|---|---|---|---|---|---|---|---|
| rpi_engine | ✓ | ✓ | ✓ | - | - | - | - | - | - | - |
Source
| Repository | https://gitlab.com/aloha.eu/rpi_engine |
|---|---|
| Homepage | https://gitlab.com/aloha.eu/rpi_engine |
| Registry Source | gitlab |
README
Requirements
RPI (Refinement for Parsimonious Inference) is based on the NeMO library (NEural Minimizer for tOrch), which has only minimal dependencies on PyTorch 1.1.0, TensorboardX and H5Py. To set up a minimum working environment in Anaconda/Miniconda, run
conda create -n aloha python=3
source activate aloha
conda install -y pytorch torchvision -c pytorch
conda install -y scipy
pip install tensorboardX
To set up NeMO, update submodules:
git submodule init
git submodule update