/
run_gentables.sh
executable file
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/
run_gentables.sh
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#!/usr/bin/env sh
set -e
function check_does_not_exist() {
if [ ! -e "$1" ] || [ ! -s "$1" ]; then
mkdir -p "$(dirname "$1")"
return 0
else
echo "WARNING: skipping '${1}': file already exists"
return 1
fi
}
BASE_SAVE_DIR="paper/tables"
CONTEXT_DEFAULT="paper"
################################################
while getopts "hc:" opt; do
case ${opt} in
c) CONTEXT="${OPTARG}";;
h) echo "usage: run_gentables.sh [-h] [-c context]"
echo "options:"
echo " -h: display this help message and exit"
echo " -c: context (['${CONTEXT_DEFAULT}'] or 'notebook')"
exit;;
\?) echo "usage: run_genplots.sh [-h] [-c context]"
exit 1;;
esac
done
context=${CONTEXT:-"${CONTEXT_DEFAULT}"}
if [ "${context}" = "paper" ]; then
save_dir="${BASE_SAVE_DIR}"
xxargs=()
alpha="\$\\\\alpha\$"
balph="\$\\\\balph\$"
rho_prefix="\$\\\\rho"
rho_suffix="\$"
kprefix="\$k"
ksuffix="\$"
elif [ "${context}" = "notebook" ]; then
save_dir="${BASE_SAVE_DIR}/_www"
xxargs=("--for-web")
alpha="_α_"
balph="**_α_**"
rho_prefix="_ρ_"
rho_suffix=""
kprefix="_k_"
ksuffix=""
else
echo "unknown context: ${context}"
exit 1
fi
################################################
# SKIP
for acck in 1 5; do
sfile="${save_dir}/datasets_split_top${acck}_accs_vs_model_tworho.md"
# NOTE: SKIPPING
# if check_does_not_exist "${sfile}"; then
if false; then
(set -x; echo "Method Few Med. Many Overall" >> "${sfile}")
(set -x; echo "----------------- -------------- -------------- -------------- --------------" >> "${sfile}")
for datasrc in "imagenetlt" "placeslt" "cifarlt"; do
case $datasrc in
imagenetlt)
datasrcname="ImageNet‑LT"
datasrcdir="ImageNetLT"
models=("resnext50_crt" "resnext50_lws" "resnext50_ride")
;;
placeslt)
datasrcname="Places‑LT"
datasrcdir="PlacesLT"
models=("resnet152_crt" "resnet152_lws")
;;
cifarlt)
datasrcname="CIFAR‑100‑LT"
datasrcdir="CIFARLT"
models=("resnet32_ride" "resnet34_ltr")
;;
*)
echo "how did you get here?" >&2
exit 1
;;
esac
(set -x; echo "**${datasrcname}**" >> "${sfile}")
for model in ${models[@]}; do
case $model in
resnext50_crt|resnet152_crt)
modelname="cRT"
;;
resnext50_lws|resnet152_lws)
modelname="LWS"
;;
resnext50_ride|resnet32_ride)
modelname="RIDE"
;;
resnet34_ltr)
modelname="LTR"
;;
*)
echo "how did you get here?" >&2
exit 1
;;
esac
(set -x; python run_printres.py --base-res-dir "data/${datasrcdir}/baselines" --rel-exp-paths "" --exp-names "${modelname}" --res-files-pattern "${model}.pkl" --no-print-csv --no-show-baselines --num-col-width 14 --name-col-width 17 --no-show-hdr "${xxargs[@]}" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "results/tworho/${datasrc}_${model}/rho1_0.5_rho2_0.1" --rel-exp-paths "" --exp-names `echo "${alpha}‑${modelname}"` --res-files-pattern "rep_*/result.pth" --no-print-csv --no-show-baselines --num-col-width 14 --name-col-width 17 --no-show-hdr "${xxargs[@]}" >> "${sfile}")
(set -x; echo "<!-- -->" >> "${sfile}")
done
(set -x; echo "<!-- -->" >> "${sfile}")
done
(set -x; head --lines=-2 "${sfile}" > "${sfile}.tmp")
(set -x; mv "${sfile}.tmp" "${sfile}")
(set -x; echo "\nTODO: Caption" >> "${sfile}")
fi
done
################################################
sfile="${save_dir}/datasets_split_accs_vs_rho_ltr.md"
if check_does_not_exist "${sfile}"; then
(set -x; echo "Method Few Med. Many Overall" >> "${sfile}")
(set -x; echo "----------------- -------------- -------------- -------------- --------------" >> "${sfile}")
datasrc="cifarlt"
datasrcdir="CIFARLT"
datasrcname="CIFAR‑100‑LT"
(set -x; echo "**${datasrcname}**" >> "${sfile}")
model="resnet34_ltr"
modelname="LTR"
rhos=(rho_0.5 rho_1 rho_1.5)
rhostrs=(0.5 1 1.5)
(set -x; python run_printres.py --base-res-dir "data/${datasrcdir}/baselines" --rel-exp-paths "" --exp-names "${modelname}" --res-files-pattern "${model}.pkl" --no-print-csv --no-show-baselines --num-col-width 14 --name-col-width 17 --no-show-hdr "${xxargs[@]}" >> "${sfile}")
(set -x; echo "${alpha}‑${modelname}" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "results/main/${datasrc}_${model}" --rel-exp-paths "${rhos[@]}" --exp-names "${rhostrs[@]}" --res-files-pattern "rep_*/result.pth" --exp-prefix `echo "${rho_prefix}="` --exp-suffix "${rho_suffix}" --no-print-csv --no-show-baselines --no-show-hdr --num-col-width 14 --name-col-width 17 "${xxargs[@]}" >> "${sfile}")
(set -x; echo "\n: Mean split accuracy in percents (standard deviation in superscript) on ${datasrcname} using the ${modelname} model. {#tbl:datasets_split_accs_vs_rho_ltr}" >> "${sfile}")
fi
################################################
sfile="${save_dir}/datasets_split_accs_vs_rho_ride.md"
if check_does_not_exist "${sfile}"; then
(set -x; echo "Method Few Med. Many Overall" >> "${sfile}")
(set -x; echo "----------------- -------------- -------------- -------------- --------------" >> "${sfile}")
modelname="RIDE"
rhos=(rho_0.5 rho_1 rho_1.5)
rhostrs=(0.5 1 1.5)
for datasrc in imagenetlt cifarlt; do
if [ "${datasrc}" = "imagenetlt" ]; then
model="resnext50_ride"
datasrcdir="ImageNetLT"
datasrcname="ImageNet‑LT"
else
model="resnet32_ride"
datasrcdir="CIFARLT"
datasrcname="CIFAR‑100‑LT"
fi
(set -x; echo "**${datasrcname}**" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "data/${datasrcdir}/baselines" --rel-exp-paths "" --exp-names "${modelname}" --res-files-pattern "${model}.pkl" --no-print-csv --no-show-baselines --num-col-width 14 --name-col-width 17 --no-show-hdr "${xxargs[@]}" >> "${sfile}")
(set -x; echo "${alpha}‑${modelname}" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "results/main/${datasrc}_${model}" --rel-exp-paths "${rhos[@]}" --exp-names "${rhostrs[@]}" --res-files-pattern "rep_*/result.pth" --exp-prefix `echo "${rho_prefix}="` --exp-suffix "${rho_suffix}" --no-print-csv --no-show-baselines --no-show-hdr --num-col-width 14 --name-col-width 17 "${xxargs[@]}" >> "${sfile}")
if [ "${datasrc}" = "imagenetlt" ]; then
(set -x; echo "<!-- -->" >> "${sfile}")
fi
done
(set -x; echo "\n: Mean split accuracy in percents (standard deviation in superscript) on ImageNet‑LT and CIFAR‑100‑LT using the ensemble RIDE model. ${alpha}‑RIDE applies AlphaNet on average features from the ensemble. {#tbl:datasets_split_accs_vs_rho_ride}" >> "${sfile}")
fi
################################################
sfile="${save_dir}/datasets_baselines_split_accs_vs_rho.md"
if check_does_not_exist "${sfile}"; then
(set -x; echo "Method Few Med. Many Overall" >> "${sfile}")
(set -x; echo "----------------- -------------- -------------- -------------- --------------" >> "${sfile}")
rhos=(rho_0.5 rho_1 rho_1.5)
rhostrs=(0.5 1 1.5)
for datasrc in imagenetlt placeslt; do
if [ "${datasrc}" = "imagenetlt" ]; then
datasrcdir="ImageNetLT"
datasrcname="ImageNet‑LT"
models=(resnext50_crt resnext50_lws)
else
datasrcdir="PlacesLT"
datasrcname="Places‑LT"
models=(resnet152_crt resnet152_lws)
fi
(set -x; echo "**${datasrcname}**" >> "${sfile}")
if [ "${datasrc}" = "imagenetlt" ]; then
if [ "${context}" = "paper" ]; then
(set -x; echo "NCM \$28.1\$ \$45.3\$ \$56.6\$ \$47.3\$" >> "${sfile}")
(set -x; echo "\$\\\\tau\$‑normalized \$30.7\$ \$46.9\$ \$59.1\$ \$49.4\$" >> "${sfile}")
else
(set -x; echo "NCM 28.1 45.3 56.6 47.3" >> "${sfile}")
(set -x; echo "_τ_‑normalized 30.7 46.9 59.1 49.4" >> "${sfile}")
fi
else
if [ "${context}" = "paper" ]; then
(set -x; echo "NCM \$27.3\$ \$37.1\$ \$40.4\$ \$36.4\$" >> "${sfile}")
(set -x; echo "\$\\\\tau\$‑normalized \$31.8\$ \$40.7\$ \$37.8\$ \$37.9\$" >> "${sfile}")
else
(set -x; echo "NCM 27.3 37.1 40.4 36.4" >> "${sfile}")
(set -x; echo "_τ_‑normalized 30.7 46.9 59.1 49.4" >> "${sfile}")
fi
fi
for model in ${models[@]}; do
case $model in
resnext50_crt|resnet152_crt)
modelname="cRT"
;;
resnext50_lws|resnet152_lws)
modelname="LWS"
;;
*)
echo "bad model: ${model}" >&2
exit 1
;;
esac
(set -x; echo "<!-- -->" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "data/${datasrcdir}/baselines" --rel-exp-paths "" --exp-names "${modelname}" --res-files-pattern "${model}.pkl" --no-print-csv --no-show-baselines --num-col-width 14 --name-col-width 17 --no-show-hdr "${xxargs[@]}" >> "${sfile}")
(set -x; echo "${alpha}‑${modelname}" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "results/main/${datasrc}_${model}" --rel-exp-paths "${rhos[@]}" --exp-names "${rhostrs[@]}" --res-files-pattern "rep_*/result.pth" --exp-prefix `echo "${rho_prefix}="` --exp-suffix "${rho_suffix}" --no-print-csv --no-show-baselines --no-show-hdr --num-col-width 14 --name-col-width 17 "${xxargs[@]}" >> "${sfile}")
done
if [ "${datasrc}" = "imagenetlt" ]; then
(set -x; echo "<!-- -->" >> "${sfile}")
(set -x; echo "<!-- -->" >> "${sfile}")
fi
done
(set -x; echo "\n: Mean split accuracy in percents (standard deviation in superscript) of AlphaNet and various baseline methods on ImageNet‑LT and Places‑LT. ${alpha}‑cRT and ${alpha}‑LWS are AlphaNet models applied over cRT and LWS features respectively. {#tbl:datasets_baselines_split_accs_vs_rhos}" >> "${sfile}")
fi
################################################
for acck in 1 5; do
for datasrc in "imagenetlt" "cifarlt" "placeslt" "inat"; do
sfile="${save_dir}/appendix/models_split_top${acck}_accs_vs_rho_${datasrc}.md"
if check_does_not_exist "${sfile}"; then
if [ "${datasrc}" = "imagenetlt" ]; then
datasrcdir="ImageNetLT"
datasrcname="ImageNet‑LT"
models=("resnext50_crt" "resnext50_lws" "resnext50_ride")
elif [ "${datasrc}" = "cifarlt" ]; then
datasrcdir="CIFARLT"
datasrcname="CIFAR‑100‑LT"
models=("resnet32_ride" "resnet34_ltr")
elif [ "${datasrc}" = "placeslt" ]; then
datasrcdir="PlacesLT"
datasrcname="Places‑LT"
models=("resnet152_crt" "resnet152_lws")
elif [ "${datasrc}" = "inat" ]; then
datasrcdir="iNaturalist"
datasrcname="iNaturalist"
models=("resnet152_crt")
else
echo "bad datasrc: ${datasrc}" >&2
exit 1
fi
if [ "${datasrc}" = "inat" ]; then
rhos=(rho_0.01 rho_0.02 rho_0.03 rho_0.04 rho_0.05)
rhostrs=(0.01 0.02 0.03 0.04 0.05)
modelsdesc="AlphaNet applied to cRT"
else
rhos=(rho_0.1 rho_0.2 rho_0.3 rho_0.4 rho_0.5 rho_0.75 rho_1 rho_1.25 rho_1.5 rho_1.75 rho_2 rho_3)
rhostrs=(0.1 0.2 0.3 0.4 0.5 0.75 1 1.25 1.5 1.75 2 3)
modelsdesc="AlphaNet applied to different models"
fi
xargs=()
for model in "${models[@]}"; do
case $model in
resnext50_crt|resnet152_crt)
modelname="cRT"
;;
resnext50_lws|resnet152_lws)
modelname="LWS"
;;
resnext50_ride|resnet32_ride)
modelname="RIDE"
;;
resnet34_ltr)
modelname="LTR"
;;
*)
echo "bad model: ${model}" >&2
exit 1
;;
esac
(set -x; python run_printres.py --base-res-dir "data/${datasrcdir}/baselines" --rel-exp-paths "" --exp-names "${modelname}" --res-files-pattern "${model}.pkl" --no-print-csv --no-show-baselines --acc-k ${acck} --num-col-width 14 --name-col-width 17 --exp-str Model "${xargs[@]}" "${xxargs[@]}" >> "${sfile}")
(set -x; echo "${balph}**‑${modelname}**" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "results/main/${datasrc}_${model}" --rel-exp-paths "${rhos[@]}" --exp-names "${rhostrs[@]}" --res-files-pattern "rep_*/result.pth" --exp-prefix `echo "${rho_prefix}="` --exp-suffix "${rho_suffix}" --no-print-csv --no-show-baselines --no-show-hdr --num-col-width 14 --name-col-width 17 --acc-k ${acck} "${xxargs[@]}" >> "${sfile}")
(set -x; echo "<!-- -->" >> "${sfile}")
xargs=("--no-show-hdr")
done
(set -x; head --lines=-1 "${sfile}" > "${sfile}.tmp")
(set -x; mv "${sfile}.tmp" "${sfile}")
(set -x; echo "\n: Top‑${acck} accuracy on ${datasrcname}, using ${modelsdesc}. {#tbl:models_split_top${acck}_accs_vs_rho_${datasrc}}" >> "${sfile}")
fi
done
done
################################################
rhos=(rho_0.1 rho_0.2 rho_0.3 rho_0.4 rho_0.5 rho_0.75 rho_1 rho_1.25 rho_1.5 rho_1.75 rho_2 rho_3)
rhostrs=(0.1 0.2 0.3 0.4 0.5 0.75 1 1.25 1.5 1.75 2 3)
sfile="${save_dir}/appendix/models_split_semantic4_accs_vs_rho_imagenetlt.md"
if check_does_not_exist "${sfile}"; then
xargs=()
for model in crt lws ride; do
case $model in
crt)
modelname="cRT"
;;
lws)
modelname="LWS"
;;
ride)
modelname="RIDE"
;;
esac
(set -x; python run_printres.py --base-res-dir "data/ImageNetLT/baselines" --rel-exp-paths "" --exp-names "${modelname}" --res-files-pattern "resnext50_${model}.pkl" --no-print-csv --no-show-baselines --num-col-width 14 --name-col-width 17 --exp-str Model --show-adjusted-acc --adjusted-acc-semantic --adjusted-acc-semantic-nns-level 4 --imagenet-data-root "data/ImageNetLT" "${xargs[@]}" "${xxargs[@]}" >> "${sfile}")
(set -x; echo "${balph}**‑${modelname}**" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "results/main/imagenetlt_resnext50_${model}" --rel-exp-paths "${rhos[@]}" --exp-names "${rhostrs[@]}" --res-files-pattern "rep_*/result.pth" --exp-prefix `echo "${rho_prefix}="` --exp-suffix "${rho_suffix}" --no-print-csv --no-show-baselines --no-show-hdr --num-col-width 14 --name-col-width 17 --show-adjusted-acc --adjusted-acc-semantic --adjusted-acc-semantic-nns-level 4 --imagenet-data-root "data/ImageNetLT" "${xxargs[@]}" >> "${sfile}")
(set -x; echo "<!-- -->" >> "${sfile}")
xargs=("--no-show-hdr")
done
(set -x; head --lines=-1 "${sfile}" > "${sfile}.tmp")
(set -x; mv "${sfile}.tmp" "${sfile}")
(set -x; echo "\n: ImageNet‑LT accuracy computed by considering predictions within 4 WordNet nodes as correct, for AlphaNet applied to different models. {#tbl:models_split_semantic4_accs_vs_rho_imagenetlt}" >> "${sfile}")
fi
################################################
for dist in "euclidean" "cosine"; do
if [ ${dist} = "euclidean" ]; then
dist_desc="Euclidean distance"
else
dist_desc="cosine distance"
fi
for acck in 1 5; do
sfile="${save_dir}/appendix/rhos_split_top${acck}_accs_vs_k_imagenetlt_crt_${dist}.md"
if check_does_not_exist "${sfile}"; then
(set -x; python run_printres.py --base-res-dir "data/ImageNetLT/baselines" --rel-exp-paths "" --exp-names "cRT" --res-files-pattern "resnext50_crt.pkl" --no-print-csv --no-show-baselines --acc-k ${acck} --num-col-width 14 --name-col-width 17 --exp-str Model "${xxargs[@]}" > "${sfile}")
(set -x; echo "<!-- -->" >> "${sfile}")
(set -x; echo "${balph}**‑cRT**" >> "${sfile}")
for rho in "0.25" "0.5" "1" "2"; do
(set -x; echo "${rho_prefix}=${rho}${rho_suffix}" >> "${sfile}")
(set -x; python run_printres.py --base-res-dir "results/nnsweep_${dist}/imagenetlt_resnext50_crt/rho_${rho}" --rel-exp-paths "k_1" "k_2" "k_3" "k_4" "k_5" "k_6" "k_7" "k_8" "k_9" "k_10" --exp-names "1" "2" "3" "4" "5" "6" "7" "8" "9" "10" --res-files-pattern "rep_*/result.pth" --exp-prefix "${kprefix}=" --exp-suffix "${ksuffix}" --no-print-csv --no-show-baselines --no-show-hdr --num-col-width 14 --name-col-width 17 --acc-k ${acck} "${xxargs[@]}" >> "${sfile}")
if [ "${rho}" != "2" ]; then
(set -x; echo "<!-- -->" >> "${sfile}")
fi
done
(set -x; echo "\n: Per-split test top‑${acck} accuracies for ${alpha}‑cRT on ImageNet‑LT using ${kprefix}${ksuffix} nearest neighbors based on ${dist_desc}. {#tbl:rhos_split_top1_accs_vs_k_imagenetlt_crt_cosine}" >> "${sfile}")
fi
done
done