Release Version 3.2.0
Apache SINGA V3.2.0 is released on August 15, 2021. There are eight major features added in this release.
Add one CIFAR-10 distributed CNN example for benchmarking performance and one large CNN example for training with a dataset from the filesystem.
Improve the data augmentation module and add device synchronization for more accurate time measurements during distributed training.
Add support for half-precision floating-point format (fp16) in deep learning models and computational kernels.
Update new ONNX APIs and fix ONNX examples accordingly, namely, DenseNet121, ShuffleNetv1, ShuffleNetv2, SqueezeNet, VGG19.
Add a new method to resize images by given width and height.
Use Docusaurus versioning to simplify the process of generating the project homepage.
Unify the formats of docstrings and command-line arguments to promote code quality.
Fix the CI build error by downloading the TBB binaries, add a disabling graph option for accessing parameter or gradient tensors during distributed training, and solve warnings of deprecated functions in the distributed optimizer module.
Please check the overview page and detailed guides.