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Posted to dev@singa.apache.org by GitBox <gi...@apache.org> on 2020/09/24 03:46:14 UTC

[GitHub] [singa] dcslin commented on issue #784: Preparation for V3.1 release

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.


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