Installation

• Through PyPi Repository

  • Install Neutrino Engine

  • Install Torch Backend

  • (optional) Install deeplite-torch-zoo

  • How to Update

  • How to Uninstall

Through PyPi Repository

Use pip to install Neutrino engine from our internal PyPi repository. We recommend creating a new python virtualenv, then pip install using the following commands, entering your credentials when prompted.

Important

We currently only support pip installation for linux environment or Windows Subsystem for Linux (WSL). Windows/mac installation is currently not supported.

Install Neutrino Engine

To install Neutrino engine:

$ pip install --upgrade pip
$ pip install neutrino-engine

Minimal Dependencies

• Python 3.6+

• Ubuntu>=16.04

• neutrino-profiler==1.0.0

• scipy==1.4.1

• numpy==1.18.5

• tensorly==0.4.5

• pyyaml==5.3.1

• onnx==1.7.0

• ordered_set==4.0.2

• licensing==0.26

• grpcio==1.29.0

• google-cloud-logging==1.15.1

• pyAesCrypt==0.4.3

• cryptography==3.4.6

Install Torch Backend

To install torch backend:

$ pip install --upgrade pip
$ pip install neutrino-torch

Minimal Dependencies:

• neutrino-engine>=5.3.2

• torch==1.4.0

• ptflops==0.6.2

• Augmentor==0.2.8”

(optional) Install deeplite-torch-zoo

Install deeplite-torch-zoo to get access to our entire list of models and pretrained models, as follows

$ pip install --upgrade pip
$ pip install deeplite-torch-zoo

See deeplite-torch-zoo for additional installation details.

How to Update

It is recommended to update your package regularly. To update the package run:

$ pip install --upgrade neutrino-engine
$ pip install --upgrade neutrino-torch
$ pip install --upgrade deeplite-torch-zoo

How to Uninstall

To uninstall the package run:

$ pip uninstall neutrino-engine
$ pip uninstall neutrino-torch
$ pip uninstall deeplite-torch-zoo

Note

To install/update the requirements manually use --no-dependencies flag in the commands above. Otherwise, they will be installed/upgraded automatically.