PPoPP 2019: Add script to generate paper results (#1)

These scripts run everything required to generate PPoPP 2019 paper results in Figures 7-10.
* Fully generate and gather PPoPP 2019 results

catamount/frameworks/example_graphs/tensorflow/full_models/gather_results.sh

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+#!/bin/bash
+
+outdir="ppopp_2019_tests"
+
+ls $outdir
+
+echo "=============== Character Language Model ==============="
+grep -A50000 "======= Algorithmic graph-level analytics: =======" $outdir/output_charlm.txt | grep -v "====="
+
+echo -e "\n\n"
+
+echo "=============== Word Language Model ==============="
+grep -A50000 "======= Algorithmic graph-level analytics: =======" $outdir/output_wordlm.txt | grep -v "====="
+
+echo -e "\n\n"
+
+echo "=============== Machine Translation Model ==============="
+grep -A50000 "======= Algorithmic graph-level analytics: =======" $outdir/output_nmt.txt | grep -v "====="
+
+echo -e "\n\n"
+
+echo "=============== Image Classification Models ==============="
+for depth in 18 34 50 101 152
+do
+	echo "--------------- ResNet-$depth ---------------"
+	grep -A50000 "======= Algorithmic graph-level analytics: =======" $outdir/output_image_$depth.txt | grep -v "====="
+	echo ""
+done
+
+echo -e "\n\n"
+
+echo "=============== Speech Recognition Model ==============="
+grep -A50000 "======= Algorithmic graph-level analytics: =======" $outdir/output_speech.txt | grep -v "====="

catamount/frameworks/example_graphs/tensorflow/full_models/generate_results.sh

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+#!/bin/bash
+
+# Set up virtual environment
+if [ ! -e "catamount_venv" ]
+then
+	echo "==== Creating virtual environment ===="
+	python -m venv catamount_venv
+	echo ""
+fi
+
+echo "==== Sourcing virtual environment ===="
+source catamount_venv/bin/activate
+export PYTHONPATH=$VIRTUAL_ENV/lib/python3.6/site-packages/
+echo ""
+
+echo "==== Installing dependencies ===="
+pip install -r requirements.txt
+echo ""
+
+echo "==== Installing Catamount ===="
+python setup.py install
+echo ""
+
+outdir="ppopp_2019_tests"
+if [ ! -e "$outdir" ]
+then
+	echo "==== Creating output directory ===="
+	mkdir -p $outdir
+	echo ""
+fi
+
+# Run tests
+# Use CUDA_VISIBLE_DEVICES="" in case system has access to GPUs,
+# but we don't want to use them
+for depth in 18 34 50 101 152
+do
+	outfile="$outdir/output_image_$depth.txt"
+	echo "==== Running Image ResNet$depth. Output to $outfile ===="
+	CUDA_VISIBLE_DEVICES="" python catamount/tests/full/tf_image_resnet.py --depth $depth >& $outfile
+	echo ""
+done
+
+for domain in charlm nmt wordlm
+do
+	outfile="$outdir/output_$domain.txt"
+	echo "==== Running Language $domain. Output to $outfile ===="
+	CUDA_VISIBLE_DEVICES="" python catamount/tests/full/tf_language_models.py --domain $domain >& $outfile
+	echo ""
+done
+
+outfile="$outdir/output_speech.txt"
+echo "==== Running Speech Attention. Output to $outfile ===="
+CUDA_VISIBLE_DEVICES="" python catamount/tests/full/tf_speech_attention.py >& $outfile
+echo ""
+
+
+# Gather results
+bash catamount/frameworks/example_graphs/tensorflow/full_models/gather_results.sh