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+PATH=/home/adam/torch/install/bin:/home/adam/anaconda3/bin:/home/adam/anaconda3/envs/megapixels/bin:/home/adam/anaconda3/bin:/home/adam/.nvm/versions/node/v9.9.0/bin:/home/adam/bin:/home/adam/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/lib/nvidia/:/usr/local/cuda/bin:/usr/lib/nvidia/:/usr/local/cuda/bin
+
+PATH=/home/adam/anaconda3/bin:/home/adam/.nvm/versions/node/v9.9.0/bin:/home/adam/code/google-cloud-sdk/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/local/cuda/bin
+
+CUDA_HOME=/usr/local/cuda
+LD_LIBRARY_PATH=/home/adam/torch/install/lib::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
+
+
+
+LD_LIBRARY_PATH=/home/adam/torch/install/lib::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
+
+
+LD_LIBRARY_PATH=:/usr/local/cuda/lib64
+CUDA_HOME=/usr/local/cuda
+
+
+TORCH_NVCC_FLAGS=-D__CUDA_NO_HALF_OPERATORS__
+TORCH_NVCC_FLAGS=-D__CUDA_NO_HALF_OPERATORS__
+
+
+export PATH=/usr/local/cuda/bin:"$PATH
+./clean.sh
+export TORCH_NVCC_FLAGS="-D__CUDA_NO_HALF_OPERATORS__"
+./install.sh
+
+find . -name "*.JPEG" | xargs -I {} convert {} -resize "256^>" {}
+
+find . -name \*.png -exec identify -ping {} \; -or -exec echo {} \;
+find . -name \*.jpg -exec identify -ping {} \; -or -exec rm -f {} \;
+
+luarocks install cudnn
+luarocks install display
+
+scp undisclosed:/home/adam/FIDs.zip .
+unzip -q FIDs.zip
+find FIDs_NEW -name \*.jpg > list.txt
+mkdir -p /work/megapixels_dev/3rdparty/art-DCGAN/fiw/images/
+
+while read -r line;do dst=/work/megapixels_dev/3rdparty/art-DCGAN/hipsterwars/images/$(basename "$line");src=`pwd`/$line;ln -s $src $dst;done < list.txt
+
+extension="${filename##*.}"
+
+
+filename="${filename%.*}
+
+for d in $(find source -type d)
+	do 
+			ls $d/*.bin 1>/dev/null 2>&1 && ln -s $d/*.bin target/$(basename $d).dat;done
+
+gpu=0 batchSize=1 imsize=10 noisemode=linefull net=bedrooms_4_net_G.t7 th generate.lua
+
+DATA_ROOT=fiw dataset=folder ndf=50 ngf=150 name=fiw_01 nThreads=6 gpu=2 th main.lua
+
+DATA_ROOT=megaface_13 dataset=folder ndf=50 ngf=150 name=megaface_13 nThreads=6 gpu=1 th main.lua
+
+DATA_ROOT=hipsterwars dataset=folder ndf=50 ngf=150 name=hipsterwars nThreads=6 gpu=2 th main.lua
+
+export PATH=/usr/local/cuda/bin/:$PATH 
+
+export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH
+
+
+git clone https://github.com/soumith/cudnn.torch.git -b R7 && cd cudnn.torch && luarocks make cudnn-scm-1.rockspec
+
+scp undisclosed:/home/adam/hipsterwars_v1.0.zip .
+find . -name "*.jpg" -print0 | xargs -0 mogrify -flop
+
+https://github.com/facebookresearch/deepcluster
+
+DATA_ROOT=hipsterwars dataset=folder ndf=100 ngf=200 batchSize=128 name=hipsterwars_d100_g200_b128 nThreads=8 gpu=2 th main.lua && DATA_ROOT=hipsterwars dataset=folder ndf=100 ngf=200 batchSize=64 name=hipsterwars_d100_g200_b64 nThreads=8 gpu=2 th main.lua && DATA_ROOT=hipsterwars dataset=folder ndf=100 ngf=300 batchSize=128 name=hipsterwars_d100_g300_b128 nThreads=8 gpu=2 th main.lua && DATA_ROOT=hipsterwars dataset=folder ndf=100 ngf=300 batchSize=64 name=hipsterwars_d100_g200_b64 nThreads=8 gpu=2 th main.lua 
+\ No newline at end of file