About PyTorch

PyTorch is an open-source machine learning framework that provides a flexible and powerful platform for building deep learning models. It offers dynamic computational graphs, automatic differentiation, and native GPU acceleration through CUDA. PyTorch is widely used in research and production for tasks ranging from computer vision to natural language processing and reinforcement learning.

Key features include:

• Dynamic computational graphs for flexible model building
• Strong GPU acceleration with CUDA support
• Extensive ecosystem including TorchVision for computer vision and TorchAudio for audio processing
• TorchScript for production deployment
• Native support for distributed training

For more information, visit https://pytorch.org/docs/⁠.

About Docker Hardened Images

Docker Hardened Images are built to meet the highest security and compliance standards. They provide a trusted foundation for containerized workloads by incorporating security best practices from the start.

Why use Docker Hardened Images?

These images are published with zero-known CVEs, include signed provenance, and come with a complete Software Bill of Materials (SBOM) and VEX metadata. They're designed to secure your software supply chain while fitting seamlessly into existing Docker workflows.

Trademarks

PyTorch, the PyTorch logo and any related marks are trademarks of The Linux Foundation.

NVIDIA®, the NVIDIA® logo, and CUDA® are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.

This listing is prepared by Docker. All third-party product names, logos, and trademarks are the property of their respective owners and are used solely for identification. Docker claims no interest in those marks, and no affiliation, sponsorship, or endorsement is implied.