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Apache SINGA-3.2.0.rc1 Release Notes

SINGA is a distributed deep learning library.

This release includes following changes:

• New examples

  • Add one cifar-10 distributed CNN example for benchmarking the performance of the distributed training.
  • Add one large CNN example for training with a dataset from the filesysetm.

• Enhance distributed training

  • Improve the data augmentation module for faster distributed training.
  • Add device synchronization for more accurate time measurements during the 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.

• Promote code quality

  • Unify the formats of docstrings that describe the contents and usage of the module.
  • Unify the parameters of command-line arguments.

• Fix bugs

  • Fix the CI build error by downloading the tbb binaries.
  • Add disabling graph option for accessing parameter or gradient tensors during distributed
    training.
  • Solve the warnings of deprecated functions in the distributed optimizer module.