The DALI 0.18.0 is a beta release, therefore, all features, functionality, and
performance will likely be limited.
Using DALI 0.18.0 Beta
To upgrade to DALI 0.18.0 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.
-
Documentation improvements: explicit __call__ operator
docstring, arithmetic expressions, and formatting.
- New audio operators functionality:
- New signal processing kernels:
- Arithmetic expressions improvements:
-
Added comparison operators and bool handling in arithmetic ops
(#1541)
-
Added bitwise operators: &, |, ^ (#1594)
-
Added support for Unary Ops: + and - (#1392)
- Video support improvements:
-
Added an ability to return duplicate outputs from the DALI pipeline.
(#1556)
-
Removed the need to have GPU available when DALI is just imported. (#1601)
Fixed Issues
This DALI release includes the following fixes.
-
Fixed ToContiguousXXX for more than 2 inputs. (#1572)
-
Fixed a race condition in GetGPUAllocator. (#1575)
-
Used a different stream base for different videos so it is possible to
decode videos with a different time base at the same time. (#1592)
-
Fixed Transpose operator for batch size 1 as well as 1
channel images. (#1624)
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