---

This repository provides tutorial code in C++ for deep learning researchers to learn PyTorch.
Python Tutorial: https://github.com/yunjey/pytorch-tutorial

Getting Started

Fork/Clone and Build

git clone https://github.com/prabhuomkar/pytorch-cpp.git
cd pytorch-cpp

Generate build system

cmake -B build #<options>

Note for Windows users:
Libtorch only supports 64bit Windows and an x64 generator needs to be specified. For Visual Studio this can be done by appending -A x64 to the above command.

Some useful options:

Option	Default	Description
-D CUDA_V=(9.2|10.1|none)	none	Download libtorch for a CUDA version (none = download CPU version).
-D DOWNLOAD_DATASETS=(OFF|ON)	ON	Download all datasets used in the tutorials.
-D CMAKE_PREFIX_PATH=path/to/libtorch/share/cmake/Torch		Skip the downloading of libtorch and use your own local version instead.

Build

cmake --build build

Note for Windows users:
The CMake script downloads the Release version of libtorch, so --config Release has to be appended to the build command.

General Note:
By default all tutorials will be built. If you only want to build one specific tutorial, specify the target parameter for the build command. For example to only build the language model tutorial, append --target language-model (target name = tutorial foldername with all underscores replaced with hyphens).

Table of Contents

1. Basics

• PyTorch Basics
• Linear Regression
• Logistic Regression
• Feedforward Neural Network

2. Intermediate

• Convolutional Neural Network
• Deep Residual Network
• Recurrent Neural Network
• Bidirectional Recurrent Neural Network
• Language Model (RNN-LM)

3. Advanced

• Generative Adversarial Networks
• Variational Auto-Encoder
• Neural Style Transfer
• Image Captioning (CNN-RNN)

Dependencies

• C++
• PyTorch C++ API

Authors

• Omkar Prabhu - prabhuomkar
• Markus Fleischhacker - mfl28