DALI Release 1.12.0
Using DALI 1.12.0
To upgrade to DALI 1.12.0 from an older version of DALI, follow the installation and usage information in the DALI User Guide.
Note: The internal DALI C++ API used for operator’s implementation, and
the C++ API that enables using DALI as a library from native code, is
not yet officially supported. Hence these APIs may change in the next release
without advance notice.
Key Features and Enhancements
This DALI release includes the following key features and
enhancements:
- Added support for the GPU-accelerated decoding of videos with a variable frame rate (experimental.readers.video) (#3668).
- Reduced the binary size (#3680 and #3682).
- Improved the TensorFlow plug-in installation even when none of the prebuilt binaries matches the exact TensorFlow version (#3720).
- Improved performance by increasing the usage of pinned memory in argument input buffers (#3728).
- Documentation improvements (#3722, #3684, and 3674).
Fixed Issues
The following issues were fixed in this release:
- Fixed the TensorFlow plug-in issue that prevented it from working in the CPU-only mode (#3719).