inference/sglang/scripts/playground/lora/analyzer.py

78 lines
2.3 KiB
Python

import glob
import json
import os
import re
import sys
from tqdm import tqdm
sys.path.append("../../")
from fix_corrupted_json import clean_json_file
dirpath = "/Users/ying"
output_file_prefix = "analyzed_log"
time = {}
tot_time = {}
size = {}
os.system(f"rm {output_file_prefix}*")
for dirname in glob.glob(os.path.join(dirpath, "trace*")):
print(dirname)
trace_name = dirname.split("/")[-1]
time[trace_name] = {}
size[trace_name] = {}
total_time = 0
for filename in tqdm(glob.glob(os.path.join(dirname, "*.json"))):
step_name = filename.split("/")[-1].split(".")[0]
step_name = "_".join(step_name.split("_")[1:])
if "prefill" not in filename and "decode" not in filename:
continue
match = re.search(r"(prefill|decode)_step_(\d+)\.json", filename)
if match:
phase = match.group(1)
step = match.group(2)
else:
raise Exception(f"Cannot parse {filename}")
try:
with open(filename, "r") as f:
trace = json.load(f)
except:
clean_json_file(filename, filename)
with open(filename, "r") as f:
trace = json.load(f)
for event in trace["traceEvents"]:
name = event["name"]
if name in ["profile_prefill_step", "profile_decode_step"]:
dur = event["dur"] / 1e3
time[trace_name][step_name] = dur
break
total_time += dur
step = int(step_name.split("_")[-1])
with open(os.path.join(dirname, f"size_{step}.json"), "r") as f:
size_info = json.load(f)
size[trace_name][step_name] = size_info["size"]
tot_time[trace_name] = total_time
time[trace_name] = dict(
sorted(time[trace_name].items(), key=lambda x: int(x[0].split("_")[-1]))
)
size[trace_name] = dict(
sorted(size[trace_name].items(), key=lambda x: int(x[0].split("_")[-1]))
)
with open(f"{output_file_prefix}_{trace_name}", "a") as f:
for k, v in time[trace_name].items():
size_v = size[trace_name][k]
print(f"{k:>15}{v:10.2f}\t{size_v}")
f.write(f"{k:>15}{v:10.2f}\t{size_v}\n")
with open(f"{output_file_prefix}_total_time", "w") as f:
print(tot_time)
json.dump(tot_time, f)