DALI Release 0.4.1 Beta

This DALI 0.4.1 release is a beta release.

Key Features and Enhancements

This DALI release includes the following key features and enhancements.
  • Added TensorFlow 1.11 and 1.12 compatibility.

  • Adjusted PyTorch example to use new nvJPEG API.

  • Reduced DALI memory footprint.

  • Fixed lack of ability to customize pipeline processing length.

Using DALI 0.4.1 Beta

The 18.10 NVIDIA GPU Cloud (NGC) optimized container for MXNet, PyTorch, and TensorFlow, includes an older version of DALI. To upgrade to DALI 0.4.1 beta, follow the installation instructions in the DALI Quick Start Guide.

Refer to the DALI Developer Guide for usage details.

Known Issues

  • The DALI integrated ResNet-50 samples in the 18.10 NGC TensorFlow and PyTorch containers may result in lower than expected performance results. We are working to address the issue in the next release.

  • This is a beta release. All features are expected to be available, however, some aspects of functionality and performance will likely be limited compared to a non-beta release.