547 lines
19 KiB
Python
547 lines
19 KiB
Python
'''
|
|
@author : Abdelrauf rauf@konduit.ai
|
|
'''
|
|
import re
|
|
import sys
|
|
import os
|
|
import subprocess
|
|
import fnmatch
|
|
import json
|
|
import gzip
|
|
try:
|
|
from bigGzipJson import json_gzip_extract_objects
|
|
except ImportError:
|
|
pass
|
|
from pathlib import Path
|
|
from multiprocessing import Pool, Manager ,cpu_count
|
|
import traceback
|
|
import html
|
|
|
|
mtch = re.compile(r"[^/]*([^:]+)\:(\d+)\:(\d+)\:(.*)")
|
|
replace_msg = re.compile(r"(\d+)?\.?(\d+)?_?\d+\.?(\d+)?")
|
|
progress_msg = re.compile(r"\s{0,4}\[\s{0,2}\d+\%\]")
|
|
file_dir_strip = str(Path(os.getcwd()))
|
|
pp_index = file_dir_strip.rfind("libnd4j")
|
|
if pp_index>=0:
|
|
file_dir_strip =file_dir_strip[:pp_index+len("libnd4j")]
|
|
BASE_URL = "https://github.com/eclipse/deeplearning4j/tree/master/libnd4j/"
|
|
if BASE_URL.endswith("/")==False:
|
|
BASE_URL = BASE_URL + "/"
|
|
#print(file_dir_strip)
|
|
class info:
|
|
def __repr__(self):
|
|
return str(self.__dict__)
|
|
|
|
FSAVE_IGNORE_EXTERNALS = True
|
|
|
|
def get_cxx_filt_result(strx):
|
|
if len(strx)<1:
|
|
return ""
|
|
res = subprocess.Popen(["c++filt","-i", strx], stdout=subprocess.PIPE).communicate()[0]
|
|
res =res.decode('utf-8')
|
|
#replace some long names to reduce size
|
|
res = res.replace("unsigned long long", "uLL")
|
|
res = res.replace("unsigned long int","uL")
|
|
res = res.replace("unsigned long", "uL")
|
|
res = res.replace("unsigned int", "ui")
|
|
res = res.replace("unsigned char", "uchar")
|
|
res = res.replace("unsigned short", "ushort")
|
|
res = res.replace("long long", "LL")
|
|
res = res.replace(", ",",")
|
|
return res.strip()
|
|
|
|
|
|
def internal_glob(dir, match):
|
|
listx = []
|
|
for root, dirnames, filenames in os.walk(dir):
|
|
for filename in fnmatch.filter(filenames, match):
|
|
listx.append(os.path.join(root, filename))
|
|
return listx
|
|
|
|
def get_obj_json_gz(filename):
|
|
with gzip.GzipFile(filename, 'r') as f:
|
|
return json.loads(f.read().decode('utf-8'))[-1]
|
|
|
|
|
|
|
|
def get_msg(msg):
|
|
msg = msg.lower().strip()
|
|
if "note: not vectorized:" in msg:
|
|
msg = replace_msg.sub("_numb",msg.replace("note: not vectorized:",""))
|
|
return( 0, 1, msg.strip())
|
|
elif "loop vectorized" in msg:
|
|
return (1, 0, None)
|
|
# elif msg.startswith("missed")==False:
|
|
# msg = replace_msg.sub("_numb",msg)
|
|
# return( 0, 0, msg.strip())
|
|
return None
|
|
|
|
|
|
|
|
|
|
class File_Info:
|
|
'''
|
|
Holds information about vectorized and miss vectorized lines for one file
|
|
'''
|
|
|
|
def __init__(self):
|
|
self.infos = {}
|
|
self.total_opted =0
|
|
self.total_missed = 0
|
|
self.external = False
|
|
|
|
|
|
def add_line(self, line_pos):
|
|
if line_pos not in self.infos:
|
|
v = info()
|
|
v.optimized = 0
|
|
v.missed = 0
|
|
v.miss_details = set()
|
|
self.infos[line_pos] = v
|
|
return v
|
|
else:
|
|
return self.infos[line_pos]
|
|
|
|
|
|
def add_line_fsave(self, line_pos):
|
|
if line_pos not in self.infos:
|
|
v = info()
|
|
v.optimized = 0
|
|
v.missed = 0
|
|
v.miss_details2 = dict()
|
|
self.infos[line_pos] = v
|
|
return v
|
|
else:
|
|
return self.infos[line_pos]
|
|
|
|
|
|
|
|
def add_fsave(self, line_pos,success, msg, function ,inline_fns=''):
|
|
v = self.add_line_fsave(line_pos)
|
|
if success and "loop vectorized" in msg:
|
|
v.optimized +=1
|
|
self.total_opted +=1
|
|
elif success==False and "not vectorized:" in msg:
|
|
#reduce this msg
|
|
msg = msg.replace("not vectorized:","")
|
|
v.missed +=1
|
|
self.total_missed +=1
|
|
msg = sys.intern(msg)
|
|
if msg in v.miss_details2:
|
|
ls = v.miss_details2.get(msg)
|
|
ls.add(function)
|
|
else:
|
|
ls =set()
|
|
v.miss_details2[msg]=ls
|
|
ls.add(function)
|
|
return self
|
|
|
|
def add(self, line_pos, msg_x):
|
|
v = self.add_line(line_pos)
|
|
if msg_x is not None:
|
|
v.optimized += msg_x[0]
|
|
v.missed += msg_x[1]
|
|
self.total_opted += msg_x[0]
|
|
self.total_missed += msg_x[1]
|
|
if msg_x[2] is not None:
|
|
v.miss_details.add(msg_x[2])
|
|
return self
|
|
|
|
|
|
def __repr__(self):
|
|
return str(self.__dict__)
|
|
|
|
|
|
|
|
|
|
def process_gzip_json_mp(args):
|
|
process_gzip_json_new(*args)
|
|
|
|
def process_gzip_json_new(json_gz_fname,list_Queue):
|
|
gz_name = Path(json_gz_fname).stem
|
|
#print("::--open and process {0}".format(gz_name))
|
|
queue_count = len(list_Queue)
|
|
#print(queue_count)
|
|
q = list_Queue[0]
|
|
old_fname = ''
|
|
total_c = 0
|
|
for x in json_gzip_extract_objects(json_gz_fname,'message','vectorized'):
|
|
external_source = True
|
|
if len(x['message'])>0 and 'location' in x:
|
|
line = int(x['location']['line'])
|
|
file_name = x['location']['file'].strip()
|
|
if file_dir_strip in file_name:
|
|
file_name = file_name.replace(file_dir_strip,'./')
|
|
external_source = False
|
|
msg = x['message'][0]
|
|
success = x['kind'] == 'success'
|
|
func = '' if 'function' not in x else x['function']
|
|
|
|
if file_name!=old_fname:
|
|
#send our info to the right consumer
|
|
queue_ind = hash(file_name) % queue_count
|
|
#print("quen index {0}".format(queue_ind))
|
|
q =list_Queue[queue_ind]
|
|
old_fname = file_name
|
|
total_c +=1
|
|
#print("pp {0} {1}".format(q,(file_name,line,success, msg, func,external_source )))
|
|
if FSAVE_IGNORE_EXTERNALS==True and external_source == True:
|
|
continue
|
|
q.put((file_name,line,success, msg, func,external_source ))
|
|
print("::finished {0:60s} :{1:8d}".format(gz_name,total_c))
|
|
|
|
def consume_processed_mp(args):
|
|
return consume_processed_new(*args)
|
|
|
|
|
|
|
|
def consume_processed_new(list_Queue , c_index):
|
|
|
|
info_ = dict()
|
|
func_list = dict()
|
|
last_func_index = 0
|
|
q = list_Queue[c_index]
|
|
print("::consumer {0}".format(c_index))
|
|
total_c = 0
|
|
r_c = 0
|
|
while True:
|
|
#print("try to get new from {0}".format(index))
|
|
obj = q.get()
|
|
#print("cc {0} {1}".format(q,obj))
|
|
if obj==None:
|
|
break #we received the end
|
|
file_name,line,success, msg, func, external_source = obj
|
|
try:
|
|
#get function index
|
|
func_index = -1
|
|
if func in func_list:
|
|
func_index = func_list[func]
|
|
else:
|
|
func_list[func] = last_func_index
|
|
func_index = last_func_index
|
|
last_func_index +=1
|
|
|
|
if file_name in info_:
|
|
info_[file_name].add_fsave(line, success, msg, func_index)
|
|
else:
|
|
info_[file_name] = File_Info().add_fsave(line, success, msg, func_index)
|
|
info_[file_name].external = external_source
|
|
total_c +=1
|
|
if total_c - r_c >10000:
|
|
r_c = total_c
|
|
print("::consumer {0:2d} :{1:10d}".format(c_index,total_c))
|
|
except Exception as e:
|
|
print(traceback.format_exc())
|
|
break
|
|
|
|
print("::consumer {0:2d} :{1:10d}".format(c_index,total_c))
|
|
#write to temp file
|
|
wr_fname= "vecmiss_fsave{0}.html".format(str(c_index) if len(list_Queue)>1 else '')
|
|
print("generate report for consumer {0} {1}".format(c_index,len(info_)))
|
|
try:
|
|
uniq_ind = str(c_index)+'_' if len(list_Queue)>1 else ''
|
|
generate_report(wr_fname,info_ ,only_body = False, unique_id_prefix = uniq_ind,fsave_format = True, function_list= func_list)
|
|
print(" consumer {0} saved output into {1}".format(c_index,wr_fname))
|
|
except Exception as e:
|
|
print(traceback.format_exc())
|
|
|
|
|
|
|
|
def obtain_info_from(input_):
|
|
info_ = dict()
|
|
for line in input_:
|
|
x = mtch.match(line)
|
|
external_source = True
|
|
if x:
|
|
file_name =x.group(1).strip()
|
|
if file_dir_strip in file_name:
|
|
file_name = file_name.replace(file_dir_strip,'')
|
|
external_source = False
|
|
line_number = int(x.group(2))
|
|
msg = x.group(4).lower()
|
|
msg = msg.replace(file_dir_strip,'./')
|
|
msg_x = get_msg(msg)
|
|
if msg_x is None:
|
|
continue
|
|
if file_name in info_:
|
|
#ignore col_number
|
|
info_[file_name].add(line_number,msg_x)
|
|
else:
|
|
#print("{0} {1}".format(file_name,external_source))
|
|
info_[file_name] = File_Info().add(line_number,msg_x)
|
|
info_[file_name].external = external_source
|
|
elif progress_msg.match(line):
|
|
#actually we redirect only, stderr so this should not happen
|
|
print("__"+line.strip())
|
|
elif "error" in line or "Error" in line:
|
|
print("****"+line.strip())
|
|
return info_
|
|
|
|
|
|
|
|
def custom_style(fsave):
|
|
st = '''<style>a{color:blue;}
|
|
a:link{text-decoration:none}a:visited{text-decoration:none}a:hover{cursor:pointer;text-decoration:underline}
|
|
a:active{text-decoration:underline}
|
|
.f.ext{display:none}
|
|
.f{color:#000;display:flex;overflow:hidden;justify-content:space-between;flex-wrap:wrap;align-items:baseline;width:100%}
|
|
.f>div{min-width:10%}.f>div:first-child{min-width:70%;text-overflow:ellipsis}
|
|
.f:nth-of-type(even){background-color:#f5f5f5}
|
|
.f>div.g{flex:0 0 100%}.f>div:nth-child(2){font-weight:600;color:green}
|
|
.f>div:nth-child(3){font-weight:600;color:red}
|
|
.f>div:nth-child(2)::after{content:' ✓';color:green}.f>div:nth-child(3)::after{content:' -';color:red}
|
|
.f>div.g>div>div:nth-child(2){font-weight:600;color:green}
|
|
.f>div.g>div>div:nth-child(3){font-weight:600;color:red}
|
|
.f>div.g>div>div:nth-child(2)::after{content:' ✓';color:green}
|
|
.f>div.g>div>div:nth-child(3)::after{content:' -';color:red}
|
|
.f>div.g>div{display:flex;justify-content:space-between;flex-wrap:wrap;align-items:baseline}
|
|
.f>div.g>div>div{min-width:10%;text-align:left}
|
|
.g>div:nth-of-type(even){background-color:#ede6fa}
|
|
.f>div.g>div>ul{flex:0 0 100%}input[type=checkbox]{opacity:0;display:none}label{cursor:pointer}
|
|
.f>label{color:red}input[type=checkbox]~.g{display:none}input[type=checkbox]:checked~.g{display:block}
|
|
input[type=checkbox]~ul{display:none}
|
|
input[type=checkbox]:checked~ul{display:block}input[type=checkbox]+label::after{content:"⇲";display:block}
|
|
input[type=checkbox]:checked+label::after{content:"⇱";display:block}
|
|
|
|
'''
|
|
if fsave==True:
|
|
st+='''.modal{display:none;height:100%;background-color:#144F84;color:#fff;opacity:.93;left:0;position:fixed;top:0;width:100%}
|
|
.modal.open{display:flex;flex-direction:column}.modal__header{height:auto;font-size:large;padding:10px;background-color:#000;color:#fff}
|
|
.modal__footer{height:auto;font-size:medium;background-color:#000}
|
|
.modal__content{height:100%;display:flex;flex-direction:column;padding:20px;overflow-y:auto}
|
|
.modal_close{cursor:pointer;float:right}li{cursor:pointer}
|
|
'''
|
|
return st + '''</style>'''
|
|
|
|
def header(fsave=False):
|
|
strx ='<!DOCTYPE html>\n<html>\n<head>\n<meta charset="UTF-8">\n<title>Auto-Vectorization</title>\n'
|
|
strx +='<base id="base_id" href="{0}" target="_blank" >'.format(BASE_URL)
|
|
strx +=custom_style(fsave)
|
|
strx +='\n</head>\n<body>\n'
|
|
return strx
|
|
|
|
def footer():
|
|
return '\n</body></html>'
|
|
|
|
|
|
def get_compressed_indices(set_a):
|
|
a_len = len(set_a)
|
|
if a_len<=1:
|
|
if a_len<1:
|
|
return ''
|
|
return str(set_a)[1:-1]
|
|
#we sorted and only saved difference
|
|
# 1,14,15,19 --> 1,13,1,4 10bytes=>8bytes
|
|
list_sorted = sorted(list(set_a))
|
|
last = list_sorted[0]
|
|
str_x = str(list_sorted[0])
|
|
for i in range(1,a_len):
|
|
str_x += ','+str(list_sorted[i]-last)
|
|
last = list_sorted[i]
|
|
return str_x
|
|
|
|
|
|
|
|
|
|
|
|
def get_content(k, v, unique_id_prefix = '', fsave_format=False):
|
|
inner_str=''
|
|
content = ''
|
|
inc_id = 0
|
|
for fk,fv in sorted(v.infos.items()):
|
|
if fsave_format==True:
|
|
inner_str+='<div><div><a>{0}</a></div><div>{1}</div><div>{2}</div><input type="checkbox" id="c{3}{4}"><label for="c{3}{4}"></label><ul>'.format(
|
|
fk,fv.optimized,fv.missed,unique_id_prefix,inc_id)
|
|
else:
|
|
inner_str+='<div><div><a href=".{0}#L{1}">{1}</a></div><div>{2}</div><div>{3}</div><input type="checkbox" id="c{4}{5}"><label for="c{4}{5}"></label><ul>'.format(
|
|
k,fk,fv.optimized,fv.missed,unique_id_prefix,inc_id)
|
|
inc_id+=1
|
|
if fsave_format==True:
|
|
#
|
|
for dt,df in fv.miss_details2.items():
|
|
#inner_str +='<li data-fns="{0}">{1}</li>'.format(str(df).replace(", ",",")[1:-1],dt)
|
|
inner_str +='<li data-fns="{0}">{1}</li>'.format(get_compressed_indices(df),dt)
|
|
else:
|
|
for dt in fv.miss_details:
|
|
inner_str+="<li>"+str(dt)+ "</li>"
|
|
inner_str+="</ul></div>\n"
|
|
|
|
content += '<div class="f'
|
|
if v.external:
|
|
content += " ext"
|
|
content += '">\n<div>{0}</div><div>{1}</div><div>{2}</div><input type="checkbox" id="i{3}{4}"><label for="i{3}{4}"></label>'.format(
|
|
k,v.total_opted,v.total_missed,unique_id_prefix,inc_id)
|
|
content += "<div class='g'>"
|
|
content += inner_str
|
|
content += "</div> </div>\n"
|
|
return content
|
|
|
|
|
|
def jscript_head():
|
|
return '''
|
|
window.onload = function () {
|
|
var modal = document.getElementsByClassName("modal")[0];
|
|
var modal_close = document.getElementsByClassName("modal_close")[0];
|
|
var content = document.getElementsByClassName("modal__content")[0];
|
|
a_tags = document.getElementsByTagName("a");
|
|
base_href = document.getElementById("base_id").href;
|
|
for(i=0;i<a_tags.length;i++){
|
|
a_tags[i].addEventListener("click", function () {
|
|
var source = event.target || event.srcElement;
|
|
file_src = source.parentElement.parentElement.parentElement.parentElement.children[0].innerText ;
|
|
link = base_href + file_src+'#L'+ source.innerText;
|
|
window.open(link, '_blank');
|
|
|
|
});
|
|
}
|
|
modal_close.addEventListener("click", function () {
|
|
content.innerHTML = '';
|
|
modal.className = 'modal';
|
|
});
|
|
|
|
'''
|
|
def jscipt_end():
|
|
return '''
|
|
tags = document.getElementsByTagName("li");
|
|
function escapeHtml(unsafe) {
|
|
return unsafe
|
|
.replace(/&/g, "&")
|
|
.replace(/</g, "<")
|
|
.replace(/>/g, ">")
|
|
.replace(/"/g, """)
|
|
.replace(/'/g, "'");
|
|
}
|
|
for (i = 0; i < tags.length; i++) {
|
|
tags[i].addEventListener("click", function () {
|
|
var source = event.target || event.srcElement;
|
|
funcs = source.dataset.fns.split(",")
|
|
strx = ''
|
|
//we saved differences,not real indices
|
|
last_ind = 0;
|
|
for (j = 0; j < funcs.length; j++) {
|
|
ind = last_ind + parseInt(funcs[j]);
|
|
strx += "<p>" + escapeHtml(func_list[ind]) + "</p>";
|
|
last_ind = ind;
|
|
}
|
|
if (strx.length > 0) {
|
|
content.innerHTML = strx;
|
|
modal.className = 'modal open';
|
|
}
|
|
|
|
});
|
|
}
|
|
|
|
};'''
|
|
|
|
def additional_tags(fsave):
|
|
if fsave==False:
|
|
return ''
|
|
#
|
|
return '''<script type='text/javascript'>
|
|
var script = document.createElement('script'); script.src = window.location.href+".js" ;
|
|
document.head.appendChild(script);
|
|
</script>
|
|
<div class="modal">
|
|
<div class="modal__header">Functions <span class="modal_close">X</span></div>
|
|
<div class="modal__content"></div>
|
|
<div class="modal__footer">========</div>
|
|
</div>
|
|
'''
|
|
|
|
def generate_report(output_name,info_ ,only_body = False, unique_id_prefix='',fsave_format = False , function_list = None):
|
|
'''
|
|
Generate Auto-Vectorization Report in html format
|
|
'''
|
|
|
|
temp_str =''
|
|
if fsave_format ==True:
|
|
# we gonna dump function_list as key list sorted by value
|
|
#and use it as jscript array
|
|
sorted_funcs_by_index = sorted(function_list.items(), key=lambda x: x[1])
|
|
del function_list
|
|
with open(output_name+ ".js","w") as f:
|
|
#temp_str =jscript_head() +'{ "fmaps":['
|
|
temp_str = jscript_head() + "\n var func_list = ["
|
|
for k,v in sorted_funcs_by_index:
|
|
#json.dumps using for escape
|
|
#print(str(v)+str(k))
|
|
temp_str+=json.dumps(get_cxx_filt_result(k))+","
|
|
#reduce write calls
|
|
if len(temp_str)>8192*2:
|
|
f.write(temp_str)
|
|
temp_str= ''
|
|
if len(temp_str)>0:
|
|
f.write(temp_str)
|
|
f.write('"-"];'+jscipt_end())
|
|
|
|
|
|
temp_str = ''
|
|
with open(output_name,"w") as f:
|
|
if only_body==False:
|
|
f.write(header(fsave_format))
|
|
f.write(additional_tags(fsave_format))
|
|
nm=0
|
|
for k,v in sorted(info_.items()): # sorted(info_.items(), key=lambda x: x[1].total_opted, reverse=True):
|
|
temp_str += get_content(k,v,unique_id_prefix+str(nm),fsave_format)
|
|
#reduce io write calls
|
|
if len(temp_str)>8192:
|
|
f.write(temp_str)
|
|
temp_str =''
|
|
nm+=1
|
|
if len(temp_str)>0:
|
|
f.write(temp_str)
|
|
if only_body==False:
|
|
f.write(footer())
|
|
|
|
|
|
def fsave_report_launch(json_gz_list):
|
|
|
|
cpus = cpu_count()
|
|
if cpus>32:
|
|
cpus = 24
|
|
|
|
c_count = 1 # 2 i sufficient # if cpus<=1 else min(4,cpus)
|
|
p_count = 3 if cpus<=1 else max(8, cpus - c_count)
|
|
|
|
m = Manager()
|
|
#consumer Queues
|
|
list_Queue = [m.Queue() for index in range(0,c_count)]
|
|
with Pool(processes=c_count) as consumers:
|
|
#start consumers
|
|
cs = consumers.map_async(consume_processed_mp,[(list_Queue, index,) for index in range(0,c_count)])
|
|
with Pool(processes=p_count) as processors:
|
|
processors.map(process_gzip_json_mp, [(fname, list_Queue,) for fname in json_gz_list])
|
|
|
|
#send ends to inform our consumers
|
|
#send ends
|
|
for q in list_Queue:
|
|
q.put(None)
|
|
|
|
#wait for consumers
|
|
cs.wait()
|
|
|
|
|
|
|
|
|
|
def main():
|
|
if "--fsave" in sys.argv:
|
|
json_gz_list = internal_glob(".","*.json.gz")
|
|
fsave_report_launch(json_gz_list)
|
|
return
|
|
|
|
file_info = obtain_info_from(sys.stdin)
|
|
if len(file_info)>0:
|
|
#print(file_info)
|
|
print("---generating vectorization html report--")
|
|
generate_report("vecmiss.html", file_info)
|
|
else:
|
|
# lets check if we got fsave files
|
|
json_gz_list = internal_glob(".","*.json.gz")
|
|
fsave_report_launch(json_gz_list)
|
|
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|