OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
AI Developer Tools & SDKs

Pytorch Cpp

A public C++ repository implementing PyTorch tutorials with LibTorch, covering foundational, intermediate and advanced machine-learning examples.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Pytorch Cpp — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a tutorial-led route into PyTorch with C++ and LibTorch is more relevant than a Python-only implementation.

Who it is for

  • Deep-learning researchers learning PyTorch through C++
  • C++ developers exploring LibTorch
  • Learners comparing PyTorch concepts with native C++ implementations

Documented uses

  • Study PyTorch fundamentals through C++ examples
  • Experiment with neural networks, recurrent models, GANs and language models
  • Configure tutorial builds with CMake and LibTorch
  • Use interactive notebook material for tensor operations
Before you choose

Requirements & limits

The repository is public, active in the supplied record, open source, and licensed under MIT. No account or pricing requirement is documented.

  • The examples are organized into basics, intermediate and advanced sections.
  • The documented toolchain includes C++17, CMake 3.28.6 or newer, LibTorch and Conda.
  • CMake supports CPU or selected CUDA downloads, local LibTorch paths, dataset downloads and scriptmodule creation.
  • The repository documents macOS, Linux and Windows configurations, with Windows-specific generator and Release-build requirements.
  • Interactive tutorials use a nightly LibTorch version and may be less stable with that version.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Configure and build the tutorial repository locally

Set up the documented C++ tutorial project and generate its CMake build system.

Before you start

  • A C++17-compatible compiler
  • CMake 3.28.6 or newer
  • LibTorch version 1.12.0 through 2.14.0, or a supported CMake download configuration
  • Conda
  • A local clone of the repository

Steps

  1. Create a Conda environment with conda create --name pytorch-cpp and activate it with conda activate pytorch-cpp.

  2. Clone the repository and enter its directory with the command below and cd pytorch-cpp.

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

  3. Generate the build system with cmake -B build.

  4. Adjust documented CMake options if needed, such as CUDA_V, DOWNLOAD_DATASETS, CREATE_SCRIPTMODULES, or CMAKE_PREFIX_PATH.

  5. Build using the generated build system; on Windows with Visual Studio, append --config Release.

Expected outcome

A configured local build directory for the repository's C++ tutorials.

Guide limitations

  • Interactive tutorials use a LibTorch nightly version and may break with that version.
  • Windows requires 64-bit support and an x64 generator.
  • Creating scriptmodule files requires installed Python with PyTorch and torchvision.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
30 September 2026
Original website title
prabhuomkar/pytorch-cpp · Official homepage title · retained in its source language
How we review sourcesSuggest a correction