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152 lines
4.2 KiB
Bash
Executable File
152 lines
4.2 KiB
Bash
Executable File
#!/bin/bash
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# Monitor power consumption for llama-bench with different thread configurations
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# Usage: ./monitor_power.sh <model_path> <output_csv> <pp_threads> <tg_threads>
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# Example: ./monitor_power.sh models/model.gguf results.csv "1,2,4,8" "1,2,4,8"
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set -e
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# Parse arguments
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if [ $# -ne 4 ]; then
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echo "Usage: $0 <model_path> <output_csv> <pp_threads> <tg_threads>"
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echo "Example: $0 models/model.gguf results.csv \"1,2,4,8\" \"1,2,4,8\""
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exit 1
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fi
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MODEL_PATH="$1"
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OUTPUT_CSV="$2"
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PP_THREADS="$3"
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TG_THREADS="$4"
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TEMP_LOG="/tmp/power_monitor_$$.log"
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PID_FILE="/tmp/monitor_$$.pid"
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BENCH_OUTPUT="/tmp/bench_output_$$.txt"
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# Validate model exists
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if [ ! -f "$MODEL_PATH" ]; then
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echo "Error: Model file not found: $MODEL_PATH"
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exit 1
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fi
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# Create output directory if needed
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mkdir -p "$(dirname "$OUTPUT_CSV")"
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# Function to monitor CPU stats
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monitor_cpu() {
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local log_file="$1"
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echo "Timestamp,CPU_Usage(%),Avg_Freq(MHz)" > "$log_file"
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while [ -f "$PID_FILE" ]; do
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cpu_usage=$(top -bn1 | grep "Cpu(s)" | awk '{print 100-$8}')
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avg_freq=$(grep "cpu MHz" /proc/cpuinfo | awk '{sum+=$4; count++} END {printf "%.0f", sum/count}')
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timestamp=$(date +%s.%N)
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echo "$timestamp,$cpu_usage,$avg_freq" >> "$log_file"
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sleep 0.5
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done
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}
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# Function to calculate average power
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calculate_power() {
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local log_file="$1"
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awk -F',' 'NR>1 {sum_cpu+=$2; count++} END {
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if (count > 0) {
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avg_cpu = sum_cpu/count
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est_power = avg_cpu * 200 / 100
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printf "%.2f", est_power
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} else {
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print "0"
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}
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}' "$log_file"
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}
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# Function to extract throughput from llama-bench output
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extract_throughput() {
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local bench_output="$1"
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local workload="$2"
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grep "$workload" "$bench_output" | awk '{
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# Extract mean from "mean ± std" format
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for (i=1; i<=NF; i++) {
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if ($(i+1) == "±") {
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printf "%.2f", $i
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exit
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}
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}
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}'
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}
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# Function to run single benchmark
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run_benchmark() {
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local workload="$1" # "pp" or "tg"
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local threads="$2"
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local n_flag=""
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if [ "$workload" = "pp" ]; then
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n_flag="-n 0"
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workload_name="pp128"
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else
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n_flag="-n 128"
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workload_name="tg128"
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fi
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# Output progress to stderr (won't be captured in CSV)
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echo "Testing $workload_name with $threads threads..." >&2
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# Start monitoring
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touch "$PID_FILE"
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monitor_cpu "$TEMP_LOG" &
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local monitor_pid=$!
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# Run benchmark
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./build/bin/llama-bench -m "$MODEL_PATH" -p 128 $n_flag -t "$threads" -ngl 0 > "$BENCH_OUTPUT" 2>&1
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# Stop monitoring
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rm -f "$PID_FILE"
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wait $monitor_pid 2>/dev/null || true
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# Extract results
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local throughput=$(extract_throughput "$BENCH_OUTPUT" "$workload_name")
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local power=$(calculate_power "$TEMP_LOG")
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if [ -z "$throughput" ] || [ "$throughput" = "0" ]; then
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echo "Warning: Failed to extract throughput for $workload_name, threads=$threads" >&2
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throughput="0"
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fi
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# Calculate J/t (Joules per token)
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local j_per_token=$(awk -v p="$power" -v t="$throughput" 'BEGIN {
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if (t > 0) printf "%.4f", p/t; else print "0"
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}')
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# Output progress to stderr
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echo " Throughput: $throughput t/s, Power: $power W, Energy: $j_per_token J/t" >&2
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# Only output CSV line to stdout (this will be captured)
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echo "$workload_name,$threads,$throughput,$power,$j_per_token"
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}
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# Initialize CSV
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echo "Workload,Threads,Throughput(t/s),Power(W),Energy(J/t)" > "$OUTPUT_CSV"
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# Test PP workloads
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IFS=',' read -ra PP_ARRAY <<< "$PP_THREADS"
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for threads in "${PP_ARRAY[@]}"; do
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threads=$(echo "$threads" | xargs) # trim whitespace
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result=$(run_benchmark "pp" "$threads")
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echo "$result" >> "$OUTPUT_CSV"
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done
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# Test TG workloads
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IFS=',' read -ra TG_ARRAY <<< "$TG_THREADS"
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for threads in "${TG_ARRAY[@]}"; do
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threads=$(echo "$threads" | xargs) # trim whitespace
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result=$(run_benchmark "tg" "$threads")
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echo "$result" >> "$OUTPUT_CSV"
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done
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# Cleanup
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rm -f "$TEMP_LOG" "$BENCH_OUTPUT" "$PID_FILE"
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echo ""
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echo "=== Benchmark Complete ==="
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echo "Results saved to: $OUTPUT_CSV"
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echo ""
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cat "$OUTPUT_CSV"
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