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authorDeterminant <[email protected]>2016-03-05 15:30:19 +0800
committerDeterminant <[email protected]>2016-03-05 15:30:19 +0800
commit968d129f1a16cde537cb1bc6061e66510c6828e7 (patch)
tree15c5d73c75c8c3da9c10dd7d59057bbaaf2e8363
parent9cd8013b14aec72f6284ecb2f005b3845ed069a2 (diff)
switch submodule repos to mirrored ones
-rw-r--r--.gitmodules6
-rw-r--r--README.rst6
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
diff --git a/README.rst b/README.rst
index 41f98d4..c00743c 100644
--- a/README.rst
+++ b/README.rst
@@ -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
------------------