28 lines
889 B
Python
Executable File
28 lines
889 B
Python
Executable File
#!/usr/bin/env python3
|
|
import os, csv
|
|
import matplotlib.pyplot as plt
|
|
|
|
ROOT="/home/carlos/projects/gem5"
|
|
OUT_DATA=os.path.join(ROOT,"gem5-data","SmartEdgeAI","results")
|
|
OUT_IOT =os.path.join(ROOT,"iot","results")
|
|
src=os.path.join(OUT_DATA,"summary_energy.csv")
|
|
out_data=os.path.join(OUT_DATA,"fig_tinyml_edp.png")
|
|
out_iot =os.path.join(OUT_IOT ,"fig_tinyml_edp.png")
|
|
|
|
labels=[]; edps=[]
|
|
with open(src) as f:
|
|
r=csv.DictReader(f)
|
|
for row in r:
|
|
if row['workload']!='tinyml_kws': continue
|
|
labels.append(f"{row['core']}-{row['dvfs']}-L2{row['l2']}-d{row['drowsy']}")
|
|
edps.append(float(row['edp']))
|
|
|
|
plt.figure()
|
|
plt.bar(labels, edps)
|
|
plt.ylabel('EDP (J·s)')
|
|
plt.title('TinyML: EDP by configuration')
|
|
plt.xticks(rotation=60, ha='right')
|
|
plt.tight_layout(); plt.savefig(out_data); plt.savefig(out_iot)
|
|
print(f"[plot] wrote {out_data} and mirrored to {out_iot}")
|
|
|