Torch Release 18.03

The NVIDIA container image of Torch, release 18.03, is available.

Contents of Torch

This container image contains the complete source of the version of NVIDIA Torch in /opt/torch. It is pre-built and installed into the /usr/local/[bin,share,lib] directories in the container image.

The NVIDIA^® Collective Communications Library ™ (NCCL) (NCCL) library and Torch bindings for NCCL are installed in this container, and models using DataParallelTable can easily leverage this library for fast parallel training. The container also includes the following:

• Ubuntu 16.04 including Python 2.7 environment
• NVIDIA CUDA 9.0.176 (see Errata section and 2.1) including CUDA^® Basic Linear Algebra Subroutines library™ (cuBLAS) 9.0.333 (see section 2.3.1)
• NVIDIA CUDA^® Deep Neural Network library™ (cuDNN) 7.1.1
• NCCL 2.1.2 (optimized for NVLink™ )

Driver Requirements

Release 18.03 is based on CUDA 9, which requires NVIDIA Driver release 384.xx.

Key Features and Enhancements

This Torch release includes the following key features and enhancements.

• Torch container image version 18.03 is based on Torch7.
• Latest version of cuBLAS 9.0.333
• Latest version of cuDNN 7.1.1
• Ubuntu 16.04 with February 2018 updates

Announcements

Due to minimal upstream activity, we will no longer incorporate upstream changes going forward. We will continue to upgrade NVIDIA libraries, such as cuDNN, cuBLAS, and NCCL, as well as the Ubuntu OS for another half a year until we discontinue support.

Known Issues

There are no known issues in this release.