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Apache SINGA-3.3.0 Release Notes

SINGA is a distributed deep learning library.

This release includes following changes:

• New examples

  • Add one CNN example for the BloodMnist dataset, a sub set of MedMNIST.
  • Add one example for the medical image analysis.

• Enhance distributed training

  • Add key information printing, e.g., throughput and communication time, for distributed training.
  • Optimize printing and logging modules for faster distributed training.

• Enhance example code

  • Add more datasets and model implementations for the cifar_distributed_cnn example.
  • Update the running script for the cifar_distributed_cnn example to include more models.
  • Update the dataset path for the largedataset_cnn example for more flexibility.
  • Add more model implementations for the largedataset_cnn example.

• Enhance the webpage

  • Reconstruct the singa webpage to include project features.
  • Update the Git web site by deploying it via .asf.yaml.
  • Update the Chinese and Vietnamese documentations.

• Debug and add assertions for input tensor data types in the opt.py.

• Change pointer type to void for generalizing data types.

• Fix bugs

  • Fix the python test error due to operations not implemented for some data types.
  • Fix the model of pad from bytes to str.