adelekuzmiakova / deep-learning-pytorch

Introduction to deep learning with PyTorch

Introduction to Deep Learning with PyTorch

These are notes from Introduction to Deep Learning with PyTorch. If you need to access the materials, clone this repository using

$ git clone [e-mail]:adelekuzmiakova/deep-learning-pytorch.git

and cd into it.

Install PyTorch with Python3 Virtualenv Setup

A Virtualenv is a tool to keep the dependencies required by different projects in separate places by creating virtual Python environments for them. It solves the “Project X depends on PyTorch version 0.x but Project Y needs 1.x” dilemma and keeps your global site-packages directory clean and manageable.

1) Requirements

• Python 3
• Pip 3

$ brew install python3

Pip3 is installed with Python3

2) Installation

To install virtualenv via pip run:

$ pip3 install virtualenv

3) Usage

Creation of virtualenv:

$ virtualenv -p python3.5 [desired-path]

e.g.

$ virtualenv -p python3.5 .env

Activate the virtualenv:

$ source [desired-path]/bin/activate

e.g.

$ source .env/bin/activate

Within the virtualenv you can install project-specific packages:

$ pip3 install -r requirements.txt

When you are done working on your project, deactivate the virtualenv:

$ deactivate