DALI v0.5.0
Pre-release
Pre-release
Bug fixes
- Fixed docstring of prefetch queue depth (#263)
- Add checking if there is any supported jpeg inside batch for batch decode (#245)
- Add enforce for num_shards > shard_id (#246)
- Make jupyter example fully compatible with python3 (#233)
- Add .clang-format for Google C++ style guide (#210)
- Update MxNet version in the README (#204)
- Fixed race condition in AsyncPipelinedExecutor destructor (#271)
Improvements
- Increased seed size to int64 (#252)
- SSD support for COCO reader (#196)
- Move PyTorch example training pipeline to the CPU (#247)
- Add version variable to init (#250)
- Tiff decoding (#248)
- Object orienting image module (#222)
- Changing
Tensor::ntensor()
return type (#242) - Type safe reader with user-provided custom-type handling (#232)
- Add pipelined execution completion callback setter (#226)
- Add better errors in decoders (#218)
- Make ABI test working with installed whl (#220)
- Added new examples to online docs (#270)
- Added Clang to Dockerfile.deps and pass CC and CXX as arguments (#264)
- Added example demo for ResNet with TensorFlow and DALI (#251)
- Remove unused private field (#205)
Breaking API changes
- Random seed type changed from INT to INT64, therefore, serialized pipelines from versions prior to 0.5 are not compatible with the current DALI version.
Binary builds
Install via pip:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali==0.5.0
Or use direct download links:
- https://developer.download.nvidia.com/compute/redist/nvidia-dali/nvidia_dali-0.5.0-39581-cp27-cp27mu-manylinux1_x86_64.whl
- https://developer.download.nvidia.com/compute/redist/nvidia-dali/nvidia_dali-0.5.0-39581-cp34-cp34m-manylinux1_x86_64.whl
- https://developer.download.nvidia.com/compute/redist/nvidia-dali/nvidia_dali-0.5.0-39581-cp35-cp35m-manylinux1_x86_64.whl
- https://developer.download.nvidia.com/compute/redist/nvidia-dali/nvidia_dali-0.5.0-39581-cp36-cp36m-manylinux1_x86_64.whl