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Apache SINGA-4.1.0 Release Notes

SINGA is a distributed deep learning library.

This release includes following changes:

• New examples

  • Add an example for malaria detection using cell images.
  • Add an example for structured data learning.

• Add support for models running on top of RDBMS

  • Add support for in-database model definition and selection in RDBMS.
  • Implement training-free model evaluation metrics for in-database model selection.
  • Implement a coordinator to balance between training-free and training-based model evaluations for in-database model selection.

• Enhance distributed training

  • Add implementations for the sum error loss.
  • Improve the optimizer to return model gradients.
  • Improve the iterative checking for tensors and strings in the ModelMeta class.

• Enhance example code

  • Add support for flexible setting of training configurations for models, e.g., learning rates, weight decay, momentum, etc.
  • Add implementations for dynamic models with varying layer sizes.

• Update the website

  • Add illustrations for database integration.
  • Update users of Apache SINGA.

• Fix bugs

  • Update the NVIDIA_GPGKEY in the Dockerfile for building wheel files.
  • Update the versions of dependencies in the wheel file.
  • Fix the collections module in the model.py file.