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ls -lt

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git clone --recursive https://github.com/dmlc/mxnet
cd mxnet; cp make/config.mk .

echo "USE_CUDA=1" >>config.mk
echo "USE_CUDA_PATH=/usr/local/cuda" >>config.mk

echo "USE_CUDNN=1" >>config.mk
echo "USE_BLAS=atlas" >> config.mk
echo "USE_DIST_KVSTORE = 1" >>config.mk
echo "USE_S3=1" >>config.mk

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aws ec2 cancel-spot-instance-requests --spot-instance-request-ids sir-02g004p9

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aws ec2 cancel-spot-fleet-requests --spot-fleet-request-ids sir-02g004p9 --terminate-instances | at now + 2hours

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# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

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export CUDA_HOME=/usr/local/cuda-7.0 
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64 

PATH=${CUDA_HOME}/bin:${PATH} 
export PATH 

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sudo mkfs.ext4 /dev/xvdb
sudo mkdir -m 000 /mnt # isnt required if /mnt exists.
echo "/dev/xvdb /mnt auto noatime 0 0" | sudo tee -a /etc/fstab
sudo mount /mnt

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f = lambda x: x.max() - x.min()
frame.apply(f) 

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aws s3 ls --summarize --human-readable --recursive s3://kagglept

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sudo ldconfig /usr/local/cuda/lib64