singa-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From GitBox <...@apache.org>
Subject [GitHub] [singa] dcslin commented on issue #784: Preparation for V3.1 release
Date Thu, 24 Sep 2020 03:46:14 GMT

dcslin commented on issue #784:
URL: https://github.com/apache/singa/issues/784#issuecomment-698093681


   changelog 2020-09-24:
   - Added
     - BiLSTM model on InsuranceQA example training script.
     - Tensor transformation (reshape, transpose) supports up to 6 dimensions.
     - Implemented traverse_unary_transform in Cuda backend, which is similar to CPP backend
one.
     - Added tensor operation erf, rounde (round even).
     - Added some sanity check on autograd input to prevent fatal error caused by unexpected
input shape.
   - Changed
     - Fix IMDB LSTM model example training script.
     - Fix Tensor operation Mult on Broadcasting use cases.
     - Gaussian function on Tensor now can run on Tensor with odd size.
     - Updated a testing helper function gradients() in autograd to lookup param gradient
by param python object id for testing purpose.


----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org



Mime
View raw message