DALI Release 1.3.0
Using DALI 1.3.0
To upgrade to DALI 1.3.0 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:
- New operator:
- Added experimental support for inputs via external_source in TensorFlow DALIDataset (#2949, #2993, and #2997).
- Numpy reader improvements:
- Improved CPU color_space_conversion operator performance (#2987).
- Improved brightness and contrast operators performance (#2981).
- Added a C API call to check backend of an operator (#3031 and #3050).
- Documentation improvements (#2936, #2960, #2979, #2972, #3013, and #3035).
Fixed Issues
This DALI release includes the following fixes:
- Fixed an issue in readers.nemo_asr that caused a system error due to keeping too many open files (#3003).
- Fixed a bug that caused out of bound memory access in mel_filter_bank (#2986).
- Fixed a cudaErrorLaunchOutOfResources error that appeared in transpose operator on some GPUs (#2971).
- Fixed handling of non-existing entries in readers.tfrecord (#2952).