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| author | Determinant <ted.sybil@gmail.com> | 2016-03-05 15:30:19 +0800 |
|---|---|---|
| committer | Determinant <ted.sybil@gmail.com> | 2016-03-05 15:30:19 +0800 |
| commit | 968d129f1a16cde537cb1bc6061e66510c6828e7 (patch) | |
| tree | 15c5d73c75c8c3da9c10dd7d59057bbaaf2e8363 | |
| parent | 9cd8013b14aec72f6284ecb2f005b3845ed069a2 (diff) | |
switch submodule repos to mirrored ones
| -rw-r--r-- | .gitmodules | 6 | ||||
| -rw-r--r-- | README.rst | 6 |
2 files changed, 6 insertions, 6 deletions
diff --git a/.gitmodules b/.gitmodules index acce7f3..2b346c4 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,9 +1,9 @@ [submodule "luajit-2.0"] path = luajit-2.0 - url = http://luajit.org/git/luajit-2.0.git + url = https://speechlab.sjtu.edu.cn/gitlab/nerv-dev/luajit.git [submodule "luarocks"] path = luarocks - url = https://github.com/keplerproject/luarocks.git + url = https://speechlab.sjtu.edu.cn/gitlab/nerv-dev/luarocks.git [submodule "Penlight"] path = Penlight - url = https://github.com/stevedonovan/Penlight.git + url = https://speechlab.sjtu.edu.cn/gitlab/nerv-dev/Penlight.git @@ -30,14 +30,14 @@ on your computer. :: # an example for compiling on SJTU Speechlab major cluster - make BLAS_TYPE=mkl BLAS_BASE=/home/intel/mkl/lib/intel64/ CUDA_BASE=/usr/lib/cuda + make BLAS_TYPE=mkl BLAS_BASE=/home/intel/mkl/lib/intel64/ CUDA_BASE=/usr/local/cuda - To include some new features (e.g. ``atomicCAS`` in CUDA), add corresponding flags to ``NERV_FEAT`` (e.g. ``NERV_FEAT=-D__NERV_FUTURE_CUDA_7``) while making: :: - make NERV_FEAT=-D__NERV_FUTURE_CUDA_7 BLAS_TYPE=mkl BLAS_BASE=/home/intel/mkl/lib/intel64/ CUDA_BASE=/usr/lib/cuda + make NERV_FEAT=-D__NERV_FUTURE_CUDA_7 BLAS_TYPE=mkl BLAS_BASE=/home/intel/mkl/lib/intel64/ CUDA_BASE=/usr/local/cuda - For speech tasks, you need to install related lua rocks (Lua packages): @@ -47,7 +47,7 @@ on your computer. # still at the root directory of NERV repo) git clone https://speechlab.sjtu.edu.cn/gitlab/nerv-dev/nerv-speech.git speech # build and install HTK I/O support, Kaldi I/O support, Kaldi decoding support, etc. - make speech + make speech BLAS_TYPE=mkl BLAS_BASE=/home/intel/mkl/lib/intel64/ Example & Tutorial ------------------ |