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Apache SINGA-4.0.0 Release Notes

SINGA is a distributed deep learning library.

This release includes following changes:

• Enhance distributed training

  • Add support for configuration of number of GPUs to be used.
  • Increase max epoch for better convergence.
  • Print intermediate mini-batch information.
  • Add support for switching between CPU and GPU devices.

• Enhance example code

  • Update the args of normalize forward function in the transforms of the BloodMnist example.
  • Update the xceptionnet in the cnn example.
  • Add arguments for weight decay, momentum and learning rates in the cnn example.
  • Add training scripts for more datasets and model types in the cnn example.
  • Add resnet dist version for the large dataset cnn example.
  • Add cifar 10 multi process for the large dataset cnn example.
  • Add sparsification implementation for mnist in the large dataset cnn example.
  • Update the cifar datasets downloading to local directories.
  • Extend the cifar datasets load function for customized directorires.

• Enhance the webpage

  • Update online documentation for distributed training.

• Promote code quality

  • Update inline comments for prepreocessing and data loading.

• Update the PIL image module

• Update the runtime Dockerfile

• Update the conda files