Download CuDNN v6.0 RC
You can download cudnn v6.0 using the following command:
wget http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/cudnn-8.0-linux-x64-v6.0-rc.tgz
Written by iassael on . Posted in computing
You can download cudnn v6.0 using the following command:
wget http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/cudnn-8.0-linux-x64-v6.0-rc.tgz
Written by iassael on . Posted in computing, machine learning
Batch-Normalized LSTMs
Tim Cooijmans, Nicolas Ballas, César Laurent, Çağlar Gülçehre, Aaron Courville
http://arxiv.org/abs/1603.09025
Clone from: https://github.com/iassael/torch-bnlstm
local rnn = nn.LSTM(input_size, rnn_size, n, dropout, bn)
n = number of layers (1-N)
dropout = probability of dropping a neuron (0-1)
bn = batch normalization (true, false)
https://github.com/iassael/char-rnn
Validation scores on char-rnn with default options
Written by iassael on . Posted in computing, machine learning
I am on Mac OS X Yosemite, and although I had installed Intel MKL properly, I was getting a mkl_intel_lp64 not found
message when I was trying to install Torch7.
The solution was found by adding the following links to your .profile
.
source /opt/intel/composer_xe_2015.3.187/bin/compilervars.sh intel64
and most importantly:
export CMAKE_INCLUDE_PATH=$CMAKE_INCLUDE_PATH:/opt/intel/compilers_and_libraries/mac/include:/opt/intel/mkl/include
export CMAKE_LIBRARY_PATH=$CMAKE_LIBRARY_PATH:/opt/intel/compilers_and_libraries/mac/lib:/opt/intel/mkl/lib