Hello, I'm happy to announce a new major version of the CSLM toolkit.
It is now available on github, just type: git clone [email protected]:hschwenk/cslm-toolkit.git The major changes are: - bug fixes: - deterministic sorting of the word-list for short lists - corrected race condition in MachTab on GPU leading to concurrent updates now the results are identical to CPU version - neural network architectures and training: - added classes at the output layer - introduced learning rate schemes - layer-specific learning rates - support for auxiliary data at the network input - flexible sharing of parameters - simplified network configuration - refactorisation of GPU code - use of CUDA streams - better GPU kernels for activation functions - more options to select CUDA devices, automatic selection with "-N" - several missing functions are now available on GPU - data handling: - sentence scores - cross-sentence n-grams - arbitrary target position (still experimental) - fast loading of phrases - new tools - dump embeddings - added more documentation - improved tutorial Within the next days, we will provide a new tutorial with highlights some of the new features. feed-back, bug reports and contributions are welcome ! -- Holger Schwenk membre IUF sénior professeur en Informatique LIUM - Université du Maine email : [email protected] _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
