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Tdnn pool #3
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…ing gmm-latgen-faster The binary complains that there is no such option and exits abnormally, which in turn causes local/test_decoders.sh to fail with a scary error message.
rm/s5: Don't use the no-longer-existing '--max-arcs' option when call…
12 hours is the estimate I got when I ran the recipe: ``` root@27af4331c701:/opt/kaldi/egs/swbd/s5c/data/train_30kshort $ awk '{s+=$4-$3}END{print s}' segments 43022.7 ``` (That's 11.95 hours.)
Fix swbd/s5c recipe comment
… with online decoding (and to enable fix to --snip-edges=false bug).
…o write online feature-extraction code that would respect the snip-edges=false option.
- the stays same functionality, but now it is more 'correct', as we don't do the triple cast with 'bool'.
moving the src/path.sh into tools/config/common_path.sh
Fixing stuff and renaming into am_nnet.
Updated arpa2fst usage message
WIP: fix for utt2dur when applied on speed-pertubed data
…he correct corpra.
…es option; includes rewrite of window extraction code.
… bn-music-speech.
…the HUB4 corpus, update to local/make_bn.py so that it is more flexible with regard to differences in source directory format
…ch-fix BN music speech fixes
smbr: Avoid extra epochs if frame shift is not used during training
…ming more generic, - the binary can be replaced (so we could eventually append posteriors, features, etc.)
A new CUDA kernel for CuMatrixBase<Real>::FindRowMaxId;
base/kaldi_error : the error messages are no longer printed 2x
Add barrier for correct timing. Original performance: LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<float>, for dim = 1024, speed was 4.26727 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<float>, for dim = 1024, speed was 5.97203 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<float>, for dim = 1024, speed was 3.0816 gigaflops. LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<double>, for dim = 1024, speed was 3.95059 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<double>, for dim = 1024, speed was 4.36189 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<double>, for dim = 1024, speed was 2.39275 gigaflops.
LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<float>, for dim = 1024, speed was 14.0498 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<float>, for dim = 1024, speed was 16.845 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<float>, for dim = 1024, speed was 14.2464 gigaflops. LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<double>, for dim = 1024, speed was 10.4523 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<double>, for dim = 1024, speed was 9.65529 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<double>, for dim = 1024, speed was 8.52148 gigaflops.
add new results for Multi-splice version of online recipe of Librispeech, including those on test set.
…size. New: LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float>, for dim = 1024, speed was 10.1076 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float> [transposed], for dim = 1024, speed was 11.8711 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double>, for dim = 1024, speed was 7.10019 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double> [transposed], for dim = 1024, speed was 7.81977 gigaflops. Old: LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float>, for dim = 1024, speed was 4.57783 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float> [transposed], for dim = 1024, speed was 7.96795 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double>, for dim = 1024, speed was 3.61182 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double> [transposed], for dim = 1024, speed was 6.39571 gigaflops.
2 CUDA kernels for TraceMatMat with/without transpose for all matrix size.
smbr: Fixed minor bug in generating diagnostics egs
Speed up CuMatrix<Real>::Transpose() and transposed copy from matrix
some cosmetic changes: add comments to RNNLM rescoring utilities to r…
added utils/combine_ali_dirs.sh (fixes kaldi-asr#553).
…ningful error messages.
$ ./configure --mkl-root=/opt/intel/mkl --static-math=yes ... Configuring MKL library directory: Found: /opt/intel/mkl/lib/intel64 MKL configured with threading: sequential, libs: -Wl,--start-group /opt/intel/mkl/lib/intel64/libmkl_intel_lp64.a /opt/intel/mkl/lib/intel64/libmkl_core.a /opt/intel/mkl/lib/intel64/libmkl_sequential.a -Wl,--end-group MKL include directory configured as: /opt/intel/mkl/include Configuring MKL threading as sequential MKL threading libraries configured as -lpthread -lm Using Intel MKL as the linear algebra library. /opt/intel/mkl/lib/intel64/libmkl_core.a(mkl_memory_patched.o): In function `mkl_serv_set_memory_limit': mkl_memory.c:(.text+0x49c): undefined reference to `dlsym' mkl_memory.c:(.text+0x4b2): undefined reference to `dlsym' mkl_memory.c:(.text+0x4c8): undefined reference to `dlsym' /opt/intel/mkl/lib/intel64/libmkl_core.a(mkl_memory_patched.o): In function `mkl_serv_allocate': mkl_memory.c:(.text+0x1251): undefined reference to `dlsym' mkl_memory.c:(.text+0x1267): undefined reference to `dlsym' ...
Add missing dependencies to Makefiles
Add dimension check in online-nnet3 decoding code, so we get more mea…
Fix bug: static link to MKL 11.3.2 failed.
vijayaditya
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added the option trainer.deriv-truncate-margin to train_rnn.py and tr…
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