Release Version 3.1.0

October 30, 2020

Apache SINGA V3.1.0 is released on October 30, 2020. There are six major features added in this release.

Update the Tensor core to support tensor transformations (reshape, transpose) for tensors up to 6 dimensions and implement traverse-unary-transform in the Cuda backend, similar to the CPP backend.
Add new tensor operators into the autograd module.
Reconstruct sonnx to support creating operators from both layer and autograd, re-write SingaRep for a more powerful intermediate representation of SINGA, and add a SONNXModel for a uniform API and features.
Replace Travis CI with Github workflow and add quality and coverage management.
Add compiling and packaging scripts to create wheel packages for distribution.
Fix bugs including the IMDB LSTM model example training script, Tensor operation Mult on Broadcasting use cases, Gaussian function on Tensor with odd size, and update a testing helper function gradients() in autograd to lookup param gradient by param python object id for testing purposes

Please check the overview page and detailed guides.