GitLab

windows fixes -- resolving issues with incrrectly behaving expf/exp(float) under MSVC2013, plus some other improvements

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trunk: for splicing component: adding tests, bug-fix in backprop of splice component (should not affect current scripts)

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4594 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: multiple fixes to recently modified splicing code (apologies, nnet2 training code may not have been working correctly in the last couple of days).

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4592 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: fix bug in nnet-component.cc introduced in revision 4581 (2 days ago), which strongly affected speed of nnet2 training.

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4590 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

(Joint work with Vijay Peddinti), add recipe that supports non-contiguous splicing in the middle of the network.  This involved some refactoring of the core nnet2 code, to make the update efficient.  Need to add results and more example scripts... but it's about 1% abs better than previous online-nnet2 recipe.

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Includes fixes for
- compiler errors due to unqualified type names,
- compiler warnings related to const correctness and uninitialized variables,
- and a few other bugs.

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4518 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: Removing some inessential nnet components from nnet2(PowerExpandComponent, PiecewiseLinearComponent, AffineComponentModified, AffineComponentA, AffinePreconInputComponent, MixtureProbComponent).

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trunk: various mostly cosmetic changes to nnet scripts; add scripts in RM setup to demonstrate conversion nnet1->nnet2 followed by training.

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4317 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: automatically removing un-needed newlines in logging statements; adding more conversion scripts for neural nets (which will be needed for online-decoding with nnet1 models); improvement to linear CGD implementation.

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4283 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

sandbox/online: demonstrating cross-system model transfer for online nnet2 decoding, see run_online_decoding_nnet2_wsj.sh

git-svn-id: https://svn.code.sf.net/p/kaldi/code/sandbox/online@4278 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk,nnet1 : changing CuMatrix -> CuMatrixBase and CuVector -> CuVectorBase in interfaces, where applicable. Note the 'Base' classes mean that the dimensions are fixed and object has pre-allocated data.



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trunk: finish example script for nnet1->nnet2 model conversion, see demo in egs/rm/s5/local/run_dnn.sh

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4257 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: checking in some partial work towards nnet1->nnet2 conversion (still compiles but the program doesn't run.).

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4246 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: update to 'fast' nnet training scripts to, on iterations where we add a layer, select the parallel training job that gives best training objective function, instead of just picking one arbitrarily.

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4110 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: changes to improve efficiency of new preconditioning method for nnet training; bug-fix in QR algorithm (for symmetric eigenvalue problem)

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@4080 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

trunk: modifications to recently-added new preconditioning method (to specify rank of input and output preconditioners separately)

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trunk: changes to Dan's neural net setup, with new preconditioning method (speed roughly doubled if you use train_pnorm_online.sh, which uses the new preconditioning method).  Various bug-fixes, optimizations and cleanups in matrix code, cuda-matrix code and thread code.  Still tuning this so recipes not checked in yet.

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