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llama-swap/examples/benchmark-snakegame/run-benchmark.sh

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#!/usr/bin/env bash
# This script generates a CSV file showing the token/second for generating a Snake Game in python, typescript and swift
# It was created to test the effects of speculative decoding and the various draft settings on performance.
#
# Writing code with a low temperature seems to provide fairly consistent logic.
#
# Usage: ./benchmark.sh <url> <model1> [model2 ...]
# Example: ./benchmark.sh http://localhost:8080 model1 model2
if [ "$#" -lt 2 ]; then
echo "Usage: $0 <url> <model1> [model2 ...]"
exit 1
fi
url=$1; shift
echo "model,python,typescript,swift"
for model in "$@"; do
echo -n "$model,"
for lang in "python" "typescript" "swift"; do
# expects a llama.cpp after PR https://github.com/ggerganov/llama.cpp/pull/10548
# (Dec 3rd/2024)
time=$(curl -s --url "$url/v1/chat/completions" -d "{\"messages\": [{\"role\": \"system\", \"content\": \"you only write code.\"}, {\"role\": \"user\", \"content\": \"write snake game in $lang\"}], \"top_k\": 1, \"timings_per_token\":true, \"model\":\"$model\"}" | jq -r .timings.predicted_per_second)
if [ $? -ne 0 ]; then
time="error"
exit 1
fi
if [ "$lang" != "swift" ]; then
printf "%0.2f tps," $time
else
printf "%0.2f tps\n" $time
fi
done
done