DALI Release 0.1.2 Beta
Key Features and Enhancements
This DALI release includes the following key features and
enhancements.
- Fixed compatibility with TensorFlow 1.9.
- Updated to nvJPEG v0.1.2 to fix batched decoding when a batch contains both gray-scale and color images.
- Added Tensorflow 1.7 support.
- Improved overlap support when using DALI with multi-GPU in MXNet and PyTorch.
Using DALI 0.1.2 Beta
The 18.07 optimized container for MXNet, PyTorch, and TensorFlow, includes an older version of DALI. To upgrade to DALI 0.2 beta, follow the installation instructions in the DALI Quick Start Guide.
Refer to the the DALI Developer Guide for usage details.
Known Issues
- This is a beta release, therefore, not all functionality is fully supported and working. This beta release is meant for testing and research.
- 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.