Apache SINGA-4.0.0 Release Notes · Apache SINGA
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EditApache 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
Last updated on 3/9/2024
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