The DALI 0.17.0 is a beta release, therefore, all features, functionality, and
performance will likely be limited.
Using DALI 0.17.0 Beta
To upgrade to DALI 0.17.0 beta from an older version of DALI, follow the installation
instructions in the DALI Quick Start Guide.
Refer to the DALI Developer Guide for usage
details.
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.
Fixed Issues
This DALI release includes the following fixes.
-
Fixed race between consecutive invocations of Mixed-stage. (#1493)
-
Fixed ExternalSource for GPU (#1452)
-
Fixed stream usage in HSV and
BrighnessContrast. (#1566)
-
Added wait for thread pool to finish work in
BrightnessConstrast (#1549)
Deprecated Features
-
DALI 0.17 is the last official release for Python 2.7, which reaches the
end of life on January 1st, 2020. To stay up to date with DALI, upgrade
to Python 3.5 or later.
-
ColorTwist operator was deprecated and replaced by
BrightnessContrast and HSV
operators cleanup (#1532)
Known Issues
-
The video loader operator requires that the key frames occur at a minimum
every 10 to 15 frames of the video stream. If the key frames occur at a
lesser frequency, then the returned frames may be out of sync.
-
The DALI TensorFlow plugin may not be compatible with TensorFlow versions
1.15.0 and/or later. If the user wants to use DALI with the TensorFlow
version which doesn’t have prebuilt plugin binary shipped with DALI it
requires the gcc compiler that matches the one used to build TensorFlow (gcc
4.8.4 or gcc, 4.8.5 or 5.4, depending on the particular version) is present
on the system.
-
Due to some known issues with meltdown/spectra mitigations and DALI, DALI
shows best performance when running in Docker with escalated privileges, for
example:
- privileged=yes in Extra Settings for AWS data
points
- --privileged or --security-opt
seccomp=unconfined for bare Docker