PyTorch Release 18.04

The NVIDIA container image of PyTorch, release 18.04, is available.

Contents of PyTorch

This container image contains the complete source of the version of PyTorch in /opt/pytorch. It is pre-built and installed in the pytorch-py3.6 Conda™ environment in the container image. The container also includes the following:

• Ubuntu 16.04 including Python 3.6 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 2.1.15 (optimized for NVLink™ )

Driver Requirements

Release 18.04 is based on CUDA 9, which requires NVIDIA Driver release 384.xx.

Key Features and Enhancements

This PyTorch release includes the following key features and enhancements.

• PyTorch container image version 18.04 is based on PyTorch 0.3.1.
• Incorporated all upstream changes from the PyTorch main branch, specifically up to and including commit 2f27c1b5.
• Latest version of NCCL 2.1.15
• Ubuntu 16.04 with March 2018 updates

Known Issues

Some mixed-precision models might encounter a crash due to a new FP16 overflow check added in PyTorch. We have an upstream fix submitted with PR 7382 and should be resolved in a future container.