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CatalogContainersIGX - PyTorch PB October 2023 (PB 23h2)

IGX - PyTorch PB October 2023 (PB 23h2)

Logo for IGX - PyTorch PB October 2023 (PB 23h2)
Associated Products
Features
Description
IGX PyTorch Production Branch October 2023, part of NVIDIA AI Enterprise - IGX and purpose-built for the NVIDIA IGX Orin platforms, offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
Publisher
Facebook
Latest Tag
23.08.07-py3-igpu
Modified
April 12, 2024
Compressed Size
5.97 GB
Multinode Support
No
Multi-Arch Support
No
23.08.07-py3-igpu (Latest) Security Scan Results

Linux / arm64

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What Is PyTorch?

PyTorch is a GPU-accelerated tensor computational framework that offers a high degree of flexibility and speed for deep learning. It integrates seamlessly with popular Python libraries such as NumPy, SciPy, and Cython, extending its functionality to meet the diverse needs of users. PyTorch also employs a tape-based system for automatic differentiation at both the functional and neural network layer level, ensuring accelerated NumPy-like functionality.

What Is IGX PyTorch Production Branch October 2023?

The IGX PyTorch Production Branch, part of NVIDIA AI Enterprise -IGX and purpose-built for NVIDIA IGX Orin platforms, provides an API-stable branch that includes monthly fixes for high and critical software vulnerabilities. This branch provides a stable and secure environment for building your mission-critical AI applications running at the edge. PyTorch production branch releases every six months with a three-month overlap between two releases.

Getting started with IGX PyTorch Production Branch

Before you start, ensure that your environment is set up by following one of the deployment guides available in the NVIDIA IGX Orin Documentation.

For an overview of the features included in the PyTorch Production Branch as of October 2023, please refer to the PyTorch Release Notes for PyTorch 23.08.

For a comprehensive collection of resources on PyTorch, including tutorials, documentation, and examples, visit the following links:

Additionally, if you're looking for information on Docker containers and guidance on running a container, review the Containers For Deep Learning Frameworks User Guide.

Security Vulnerabilities in Open Source Packages

Important Note: IGX PyTorch Production Branch release 23.06.06-py3 and earlier is vulnerable to GHSA-whh8-fjgc-qp73 in onnx 1.14.0. Do not open untrusted onnx files with this image. Restrict your mount point to minimize directory traversal impact.

Please review the Security Scanning tab to view the latest security scan results.

For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

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