DALI v0.1.1

Pre-release

Pre-release

cliffwoolley released this 29 Jun 20:26

· 3766 commits to main since this release

6d13bc6

Bug fixes

#4 - Race in processing multiple input sets
#5 - ImportError with various shared object file dependencies not found
#8 - Segfault in ops.FileReader when no files found
#12 - Python3 incompatibility in some examples
#13 - Crash when importing pre-built DALI PyTorch plugin w/ pre-built PyTorch
Pre-built binary includes an updated NVJPEG build that fixes a race condition seen in some DALI pipelines

Improvements

Binary compatibility of the pre-built DALI binaries with pre-built DL frameworks is improved (#13).
- In support of this, most dependencies are now statically linked into the pre-built binaries, and the list of symbols exported from the shared objects are significantly reduced.
- A beneficial side effect is that CUDA 9.0 Toolkit is no longer required to be installed to use pre-built binaries; only the corresponding NVIDIA Driver is required. This for example allows compatibility with a DL framework otherwise built against CUDA 9.1 or 9.2.

Binary builds

Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.1.1

Or use direct download links:

Assets 2