PyTorch Release 18.06

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The NVIDIA container image of PyTorch, release 18.06, 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:

Driver Requirements

Release 18.06 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 18.06 is based on PyTorch 0.4.0 upstream main branch post commit 0e9613c.
  • Improved data loader pipeline in the ImageNet example, see /opt/pytorch/examples/imagenet within the container.
  • Data loader pipeline now uses pillow-simd and jpeg-turbo.
  • Improved FP16 support, specifically, reductions like sum() are now more accurate when using FP16.
  • Improved distributed performance, specifically, gradient communication can now overlap with gradient computation in backwards().
  • Compatibility changes, specifically, Magma 1 is no longer supported.
  • Ubuntu 16.04 with May 2018 updates

Known Issues

There are no known issues in this release.

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