.

build.sh

@@ -0,0 +1,14 @@
+# Preliminary commands to build the EC2 box and install drivers
+# Assumes Ubuntu 16.04
+sudo apt-get install python-pip
+sudo pip install plotly
+wget https://developer.nvidia.com/compute/cuda/8.0/prod/local_installers/cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb
+sudo dpkg -i cuda-repo-ubuntu1604-8-0-local_8.0.44-1_amd64-deb
+sudo apt-get update
+sudo apt-get install cuda
+sudo apt-add-repository 'deb https://apt.dockerproject.org/repo ubuntu-xenial main'
+sudo apt-get update
+sudo apt-get install docker-engine nvidia-modprobe
+wget -P /tmp https://github.com/NVIDIA/nvidia-docker/releases/download/v1.0.0-rc.3/nvidia-docker_1.0.0.rc.3-1_amd64.deb
+sudo dpkg -i /tmp/nvidia-docker*.deb
+sudo nvidia-docker run -it harvardnlp/opennmt:8.0 .

check.sh

@@ -0,0 +1,6 @@
+#aws ec2 start-instances --instance-ids i-73ad3de6 --region us-west-2
+HOSTNAME=$(aws ec2 describe-instances --instance-ids i-73ad3de6 --region us-west-2 | grep PublicIpAddress | awk -F ":" '{print $2}' | sed 's/[", ]//g')
+echo $HOSTNAME;
+echo ubuntu@$HOSTNAME
+ssh -o "StrictHostKeyChecking no" -i viz.pem ubuntu@$HOSTNAME 'export DATE=$(date "+%Y-%m-%d-%H-%M");cd OpenNMT-Regression;bash setup.sh;sudo nvidia-docker exec -i opennmt bash -c "$(cat run.sh)" | tee "call_log_$DATE.txt";cat "call_log_$DATE.txt" | python graph.py; git add "call_log_$DATE.txt"; git commit -a -m .; git push origin master;exit'
+aws ec2 stop-instances --instance-ids i-73ad3de6 --region us-west-2

launch.sh

@@ -0,0 +1,9 @@
+# Command to login to ec2 and start job.
+BOX=i-73ad3de6
+KEY=viz.pem
+aws ec2 start-instances --instance-ids $BOX --region us-west-2
+HOSTNAME=$(aws ec2 describe-instances --instance-ids $BOX --region us-west-2 | grep PublicIpAddress | awk -F ":" '{print $2}' | sed 's/[", ]//g')
+echo $HOSTNAME;
+echo ubuntu@$HOSTNAME
+ssh -o "StrictHostKeyChecking no" -i $KEY ubuntu@$HOSTNAME 'export DATE=$(date "+%Y-%m-%d-%H-%M");cd OpenNMT-Regression;bash setup.sh;sudo nvidia-docker exec -i opennmt bash -c "$(cat run.sh)" | tee "call_log_$DATE.txt";cat "call_log_$DATE.txt" | python graph.py; git add "call_log_$DATE.txt"; git commit -a -m .; git push origin master;exit'
+aws ec2 stop-instances --instance-ids $BOX --region us-west-2

run.sh

@@ -0,0 +1,2 @@
+# Commands run in the raw docker container.
+git clone "http://github.com/opennmt/opennmt" && cd opennmt && th preprocess.lua -train_src_file ../../de-train-clean.200K.txt -train_targ_file ../../en-train-clean.200K.txt  -valid_src_file ../../de-val-clean.10K.txt -valid_targ_file ../../en-val-clean.10K.txt -output_file data/demo && th train.lua -data data/demo-train.t7 -save_file demo-model -gpuid 1 -print_every 50 -epochs 8

setup.sh

@@ -0,0 +1,8 @@
+# Commands to setup docker container and push data
+sudo docker kill opennmt
+sudo docker rm opennmt
+sudo nvidia-docker run  --name opennmt -d harvardnlp/opennmt:8.0  tail -f /dev/null
+sudo docker cp data/de-val-clean.10K.txt opennmt:/root/de-val-clean.10K.txt
+sudo docker cp data/en-val-clean.10K.txt opennmt:/root/en-val-clean.10K.txt
+sudo docker cp data/de-train-clean.200K.txt opennmt:/root/de-train-clean.200K.txt
+sudo docker cp data/en-train-clean.200K.txt opennmt:/root/en-train-clean.200K.txt