Files
rocm-systems/plugin/att/trace_view.py
T
Giovanni LB 7edee28288 SWDEV-477001: Fixing line offset and copy command for webui
Change-Id: I830bc7afd552e314f931514e938ba2214a765e63
2024-08-01 00:32:58 -03:00

271 строка
8.0 KiB
Python
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#!/usr/bin/env python3
import sys
if sys.version_info[0] < 3:
raise Exception("Must be using Python 3")
import os
import sys
import time
import socket
from pathlib import Path
from collections import defaultdict
import http.server
import socketserver
import socket
import asyncio
import websockets
from multiprocessing import Process, Manager
import numpy as np
from http import HTTPStatus
from io import BytesIO
from drawing import Readable, GeneratePIC
from copy import deepcopy
from shutil import copy2
from glob import glob
JSON_GLOBAL_DICTIONARY = {}
def get_ip():
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.settimeout(0)
try:
hostname = socket.gethostname()
IPAddr = socket.gethostbyname(hostname)
s.connect(({IPAddr}, 1))
except Exception:
IPAddr = "127.0.0.1"
finally:
return IPAddr
IPAddr = get_ip()
PORT, WebSocketPort = 8000, 18000
SP = "\u00A0"
def get_top_n(code):
TOP_N = 10
top_n = sorted(deepcopy(code), key=lambda x: x[-1], reverse=True)[:TOP_N]
return [
(line_num, hitc, 0, run_time) for _, _, _, _, line_num, _, hitc, run_time in top_n
]
def wave_info(df, id):
dic = {
"Issue": df["issued_ins"][id],
"Valu": df["valu_ins"][id],
"Valu_stall": df["valu_stalls"][id],
"Salu": df["salu_ins"][id],
"Salu_stall": df["salu_stalls"][id],
"Vmem": df["vmem_ins"][id],
"Vmem_stall": df["vmem_stalls"][id],
"Smem": df["smem_ins"][id],
"Smem_stall": df["smem_stalls"][id],
"Flat": df["flat_ins"][id],
"Flat_stall": df["flat_stalls"][id],
"Lds": df["lds_ins"][id],
"Lds_stall": df["lds_stalls"][id],
"Br": df["br_ins"][id],
"Br_stall": df["br_stalls"][id],
}
dic["Issue_stall"] = int(np.sum([dic[key] for key in dic.keys() if "_STALL" in key]))
return dic
def extract_data(df, se_number):
if len(df["id"]) == 0 or len(df["instructions"]) == 0 or len(df["timeline"]) == 0:
return None
wave_filenames = []
flight_count = []
wave_slot_count = [
{df["wave_slot"][wave_id]: 0 for wave_id in df["id"]} for k in range(4)
]
print("Number of waves:", len(df["id"]))
allwaves_maxline = 0
for wave_id in df["id"]:
stitched, loopCount, mem_unroll, count, maxline, num_insts = df["instructions"][
wave_id
]
timeline = df["timeline"][wave_id]
if len(stitched) == 0 or len(timeline) == 0:
continue
allwaves_maxline = max(allwaves_maxline, maxline)
flight_count.append(count)
wave_entry = {
"id": int(df["id"][wave_id]),
"simd": int(df["simd"][wave_id]),
"slot": int(df["wave_slot"][wave_id]),
"begin": int(df["begin_time"][wave_id]),
"end": int(df["end_time"][wave_id]),
"info": wave_info(df, wave_id),
"instructions": stitched,
"timeline": timeline,
"waitcnt": mem_unroll,
}
data_obj = {
"name": "SE".format(se_number),
"duration": sum(dur for (_, dur) in timeline),
"wave": wave_entry,
"loop_count": loopCount,
"top_n": [],
"num_stitched": len(stitched),
"num_insts": num_insts,
"websocket_port": WebSocketPort,
"generation_time": time.ctime(),
}
simd_id = df["simd"][wave_id]
slot_id = df["wave_slot"][wave_id]
slot_count = wave_slot_count[simd_id][slot_id]
wave_slot_count[simd_id][slot_id] += 1
OUT = (
"se"
+ str(se_number)
+ "_sm"
+ str(simd_id)
+ "_sl"
+ str(slot_id)
+ "_wv"
+ str(slot_count)
+ ".json"
)
JSON_GLOBAL_DICTIONARY[OUT] = Readable(data_obj)
wave_filenames.append((OUT, df["begin_time"][wave_id], df["end_time"][wave_id]))
data_obj = {
"name": "SE".format(se_number),
"websocket_port": WebSocketPort,
"generation_time": time.ctime(),
}
se_filename = None
if len(wave_filenames) > 0:
se_filename = "se" + str(se_number) + "_info.json"
JSON_GLOBAL_DICTIONARY[se_filename] = Readable(data_obj)
return flight_count, wave_filenames, se_filename, allwaves_maxline
def call_picture_callback(return_dict, drawinfo):
response, imagebytes = GeneratePIC(drawinfo)
return_dict["graph_options.json"] = response
for k, v in imagebytes.items():
return_dict[k] = v
for n, m in enumerate(drawinfo["TIMELINES"]):
return_dict["wstates" + str(n) + ".json"] = Readable(
{"data": [int(n) for n in list(np.asarray(m))]}
)
for n, e in enumerate(drawinfo["EVENTS"]):
return_dict["se" + str(n) + "_perfcounter.json"] = Readable(
{"data": [v.toTuple() for v in e]}
)
def view_trace(
code,
dbnames,
att_filenames,
se_time_begin,
gfxv,
drawinfo,
trace_instance_name
):
global JSON_GLOBAL_DICTIONARY
pic_thread = None
manager = Manager()
return_dict = manager.dict()
occ_dict = {str(k): drawinfo["OCCUPANCY"][k] for k in range(len(drawinfo["OCCUPANCY"]))}
occ_dict['dispatches'] = {}
for id, name in drawinfo['DispatchNames'].items():
occ_dict['dispatches'][id] = name
occ_dict['names'] = drawinfo['ShaderNames']
JSON_GLOBAL_DICTIONARY["occupancy.json"] = Readable(occ_dict)
pic_thread = Process(target=call_picture_callback, args=(return_dict, drawinfo))
pic_thread.start()
att_filenames = [Path(f).name for f in att_filenames]
se_numbers = [int(a.split("_se")[1].split(".att")[0]) for a in att_filenames]
flight_count = []
simd_wave_filenames = {}
se_filenames = []
allse_maxline = 0
for se_number, dbname in zip(se_numbers, dbnames):
if len(dbname["id"]) == 0:
continue
count, wv_filenames, se_filename, maxline = extract_data(dbname, se_number)
if se_filename is None:
continue
allse_maxline = max(allse_maxline, maxline)
se_filenames.append(se_filename)
if count is not None:
flight_count.append(count)
simd_wave_filenames[se_number] = wv_filenames
code_sel = [c[:-3]+c[-2:] for c in code]
JSON_GLOBAL_DICTIONARY['code.json'] = Readable({"code": code_sel, "top_n": get_top_n(code_sel)})
for key in simd_wave_filenames.keys():
wv_array = [
[
int(s[0].split("_sm")[1].split("_sl")[0]),
int(s[0].split("_sl")[1].split("_wv")[0]),
int(s[0].split("_wv")[1].split(".")[0]),
s,
]
for s in simd_wave_filenames[key]
]
wv_dict = {}
for wv in wv_array:
try:
wv_dict[wv[0]][wv[1]][wv[2]] = wv[3]
except:
try:
wv_dict[wv[0]][wv[1]] = {wv[2]: wv[3]}
except:
try:
wv_dict[wv[0]] = {wv[1]: {wv[2]: wv[3]}}
except:
pass
simd_wave_filenames[key] = wv_dict
JSON_GLOBAL_DICTIONARY["filenames.json"] = Readable(
{
"wave_filenames": simd_wave_filenames,
"se_filenames": se_filenames,
"global_begin_time": int(se_time_begin),
"gfxv": gfxv,
}
)
if pic_thread is not None:
pic_thread.join()
for k, v in return_dict.items():
JSON_GLOBAL_DICTIONARY[k] = v
os.makedirs(trace_instance_name + "_ui/", exist_ok=True)
JSON_GLOBAL_DICTIONARY["live.json"] = Readable({"live": 0})
ui_dir_files = glob(os.path.join(os.path.abspath(os.path.dirname(__file__)), "ui")+"/*")
for f in ui_dir_files:
copy2(f, trace_instance_name + "_ui/")
for k, v in JSON_GLOBAL_DICTIONARY.items():
with open(os.path.join(trace_instance_name+"_ui", k), "w" if ".json" in k else "wb") as f:
f.write(v.read())