Skip to content

milvus
milvus

BaiXuePrincess / milvus
与 Fork 源项目一致

Fork自 milvus / milvus

通知 7
Star 4
Fork 0
milvus
milvus

体验新版 GitCode，发现更多精彩内容 >>

未验证 提交 a7d57d7a 编写于 作者: S shiyu22 提交者： GitHub
浏览文件
操作

add Tanimoto ground truth (#1138) 

* add milvus ground truth

* add milvus groundtruth

* [skip ci] add milvus ground truth

* [skip ci]add tanimoto ground truth
上级 003b0cc2
隐藏空白更改
内联 并排
Showing with 147 addition and 127 deletion
tests/milvus_groundtruth/README.md
浏览文件 @ a7d57d7a
......@@ -5,28 +5,30 @@
### Parameter Description：
| parameter | description | default setting |
| ------------------ | --------------------------------------------- | -------------------- |
| GET_VEC | whether to save feature vectors | False |
| PROCESS_NUM | number of processes | 5 |
| IP | whether metric_type is IP | True |
| L2 | whether metric_type is L2 | False |
| CSV | whether the query vector file format is csv | False |
| UINT8 | whether the query vector data format is uint8 | False |
| BASE_FOLDER_NAME | path to the source vector dataset | '/data/milvus/base' |
| NQ_FOLDER_NAME | path to the query vector dataset | '/data/milvus/query' |
| GT_ALL_FOLDER_NAME | intermediate filename | 'ground_truth_all' |
| GT_FOLDER_NAME | path saved the ground truth results | 'ground_truth' |
| LOC_FILE_NAME | file saved the gorund truth's location info | 'location.txt' |
| FLOC_FILE_NAME | file saved the gorund truth's filenames info | 'file_location.txt' |
| VEC_FILE_NAME | file saved the gorund truth's feature vectors | 'vectors.npy' |
| parameter | description | default setting |
| ------------------ | --------------------------------------------- | ----------------------- |
| PROCESS_NUM | number of processes | 12 |
| GET_VEC | whether to save feature vectors | False |
| CSV | whether the query vector file format is csv | False |
| UINT8 | whether the query vector data format is uint8 | False |
| BASE_FOLDER_NAME | path to the source vector dataset | '/data/milvus/base' |
| NQ_FOLDER_NAME | path to the query vector dataset | '/data/milvus/query' |
| GT_ALL_FOLDER_NAME | intermediate filename | 'ground_truth_all' |
| GT_FOLDER_NAME | path saved the ground truth results | 'ground_truth' |
| LOC_FILE_NAME | file saved the gorund truth's location info | 'ground_truth.txt' |
| FLOC_FILE_NAME | file saved the gorund truth's filenames info | 'file_ground_truth.txt' |
| VEC_FILE_NAME | file saved the gorund truth's feature vectors | 'vectors.npy' |
### Usage：
```bash
$ python3 milvus_ground_truth.py [-q <nq_num>] -k <topk_num> -l
$ python3 milvus_ground_truth.py [-q <nq_num>] -k <topk_num> -m <metric typr>-l
# -q or --nq points the number of vectors taken from the query vector set. This parameter is optional, Without it will take all the data in the query set.
# -k or --topk points calculate the top k similar vectors.
# -l means generate the ground truth results, it will save in GT_FOLDER_NAME.In this path, LOC_FILE_NAME saved the gorund truth's location info, such as "8002005210",the first ‘8’ is meaningless, the 2-4th position means the position of the result file in the folder, the 5-10th position means the position of the result vector in the result file. The result filename and vector location saved in FLOC_FILE_NAME, such as "binary_128d_00000.npy 81759", and the result vector is saved in VEC_FILE_NAME.
# -m or --metric points the method vector distances are compared in Milvus,such as IP/L2/Tan.
# -l means generate the ground truth results, it will save in GT_FOLDER_NAME.In this path, LOC_FILE_NAME saved the gorund truth's results info, such as "8002005210",the first ‘8’ is meaningless, the 2-4th position means the position of the result file in the folder, the 5-10th position means the position of the result vector in the result file. The result filename and vector location saved in FLOC_FILE_NAME, such as "binary_128d_00000.npy 81759", and the result vector is saved in VEC_FILE_NAME.
```
\ No newline at end of file
tests/milvus_groundtruth/milvus_ground_truth.py
浏览文件 @ a7d57d7a
......@@ -2,14 +2,13 @@ import getopt
import os
import sys
import time
from multiprocessing import Process
from concurrent.futures import ThreadPoolExecutor
from concurrent.futures import ProcessPoolExecutor
import numpy as np
import math
PROCESS_NUM = 12
GET_VEC = False
PROCESS_NUM = 5
IP = True
L2 = False
CSV = False
UINT8 = False
......@@ -18,31 +17,24 @@ NQ_FOLDER_NAME = '/data/milvus/query'
GT_ALL_FOLDER_NAME = 'ground_truth_all'
GT_FOLDER_NAME = 'ground_truth'
LOC_FILE_NAME = 'location.txt'
FLOC_FILE_NAME = 'file_location.txt'
LOC_FILE_NAME = 'ground_truth.txt'
FLOC_FILE_NAME = 'file_ground_truth.txt'
VEC_FILE_NAME = 'vectors.npy'
# get vectors of the files
def load_nq_vec(nq):
vectors = []
length = 0
def load_query_vec(nq, vectors=[], length=0):
filenames = os.listdir(NQ_FOLDER_NAME)
filenames.sort()
if nq == 0:
for filename in filenames:
vectors += load_vec_list(NQ_FOLDER_NAME + '/' + filename)
return vectors
for filename in filenames:
vec_list = load_vec_list(NQ_FOLDER_NAME + '/' + filename)
length += len(vec_list)
if length > nq:
if nq!=0 and length>nq :
num = nq % len(vec_list)
# vec_list = load_vec_list(NQ_FOLDER_NAME + '/' + filename, num)
vec_list = vec_list[0:num]
vectors += vec_list[0:num]
break
vectors += vec_list
if len(vectors) == nq:
return vectors
return vectors
# load vectors from filr_name and num means nq's number
......@@ -55,12 +47,20 @@ def load_vec_list(file_name):
data = np.load(file_name)
if UINT8:
data = (data + 0.5) / 255
vec_list = []
for i in range(len(data)):
vec_list.append(data[i].tolist())
vec_list = data.tolist()
return vec_list
def hex_to_bin(fp):
vec=[]
length = len(fp) * 4
bstr = str(bin(int(fp,16)))
bstr = (length-(len(bstr)-2)) * '0' + bstr[2:]
for f in bstr:
vec.append(int(f))
return vec
def calEuclideanDistance(vec1, vec2):
vec1 = np.array(vec1)
vec2 = np.array(vec2)
......@@ -75,6 +75,18 @@ def calInnerDistance(vec1, vec2):
return dist
def calTanimoto(vec1, vec2):
vec1 = hex_to_bin(vec1)
vec2 = hex_to_bin(vec2)
# print(vec1,vec2)
nc = float(np.inner(vec1, vec2))
n1 = float(np.sum(vec1))
n2 = float(np.sum(vec2))
dist = nc/(n1+n2-nc)
print(nc,n1,n2)
return dist
def get_ground_truth_l2(topk, idx, vct_nq):
filenames = os.listdir(BASE_FOLDER_NAME)
filenames.sort()
......@@ -85,7 +97,7 @@ def get_ground_truth_l2(topk, idx, vct_nq):
for j in range(len(vec_list)):
dist = calEuclideanDistance(vct_nq, vec_list[j])
num_j = "%01d%03d%06d" % (8, k, j)
if j < topk and k == 0:
if k==0 and j<topk :
no_dist[num_j] = dist
else:
# sorted by values
......@@ -94,8 +106,9 @@ def get_ground_truth_l2(topk, idx, vct_nq):
if dist < max_value:
m = no_dist.pop(max_key)
no_dist[num_j] = dist
k = k + 1
k += 1
no_dist = sorted(no_dist.items(), key=lambda x: x[1])
print(no_dist)
save_gt_file(no_dist, idx)
......@@ -108,8 +121,8 @@ def get_ground_truth_ip(topk, idx, vct_nq):
vec_list = load_vec_list(BASE_FOLDER_NAME + '/' + filename)
for j in range(len(vec_list)):
dist = calInnerDistance(vct_nq, vec_list[j])
num_j = "%01d%03d%06d" % (8, k, j)
if j < topk and k == 0:
num_j = "%03d%06d" % (k, j)
if k==0 and j<topk :
no_dist[num_j] = dist
else:
min_key = min(no_dist, key=no_dist.get)
......@@ -117,55 +130,70 @@ def get_ground_truth_ip(topk, idx, vct_nq):
if dist > min_value:
m = no_dist.pop(min_key)
no_dist[num_j] = dist
k = k + 1
k += 1
no_dist = sorted(no_dist.items(), key=lambda x: x[1], reverse=True)
print(no_dist)
save_gt_file(no_dist, idx)
def get_ground_truth_tanimoto(topk, idx, vec_nq):
filenames = os.listdir(BASE_FOLDER_NAME) # get the whole file names
filenames.sort()
no_dist = {}
k = 0
for filename in filenames:
vec_list = load_vec_list(BASE_FOLDER_NAME + '/' + filename)
print(BASE_FOLDER_NAME + '/' + filename, len(vec_list))
for j in range(len(vec_list)):
dist = calTanimoto(vec_nq, vec_list[j])
num_j = "%03d%06d" % (k, j)
if k==0 and j<topk :
no_dist[num_j] = dist
else:
min_key = min(no_dist, key=no_dist.get)
min_value = no_dist[min_key]
if dist > min_value:
m = no_dist.pop(min_key)
no_dist[num_j] = dist
k += 1
no_dist = sorted(no_dist.items(), key=lambda x: x[1], reverse=True)
print(no_dist)
save_gt_file(no_dist, idx)
def save_gt_file(no_dist, idx):
s = "%05d" % idx
idx_fname = GT_ALL_FOLDER_NAME + '/' + s + '_idx.txt'
dis_fname = GT_ALL_FOLDER_NAME + '/' + s + '_dis.txt'
with open(idx_fname, 'w') as f:
filename = "%05d" % idx + 'results.txt'
with open(GT_ALL_FOLDER_NAME+'/'+filename, 'w') as f:
for re in no_dist:
f.write(str(re[0]) + '\n')
f.write('\n')
with open(dis_fname, 'w') as f:
for re in no_dist:
f.write(str(re[1]) + '\n')
f.write('\n')
f.write(str(re[0]) + ' ' + str(re[1]) + '\n')
def get_loc_txt(file):
filenames = os.listdir(GT_ALL_FOLDER_NAME)
filenames.sort()
write_file = open(GT_FOLDER_NAME + '/' + file, 'w+')
for f in filenames:
if f.endswith('_idx.txt'):
f = GT_ALL_FOLDER_NAME + '/' + f
for line in open(f, 'r'):
write_file.write(line)
for line in open(GT_ALL_FOLDER_NAME+'/'+f, 'r'):
write_file.write(line)
write_file.write('\n')
def get_file_loc_txt(gt_file, fnames_file):
gt_file = GT_FOLDER_NAME + '/' + gt_file
fnames_file = GT_FOLDER_NAME + '/' + fnames_file
filenames = os.listdir(BASE_FOLDER_NAME)
filenames.sort()
with open(gt_file, 'r') as gt_f:
with open(fnames_file, 'w') as fnames_f:
with open(GT_FOLDER_NAME+'/'+gt_file, 'r') as gt_f:
with open(GT_FOLDER_NAME+'/'+fnames_file, 'w') as fnames_f:
for line in gt_f:
if line != '\n':
line = line.strip()
line = line.split()[0]
loca = int(line[1:4])
offset = int(line[4:10])
fnames_f.write(filenames[loca] + ' ' + str(offset + 1) + '\n')
else:
fnames_f.write('\n')
fnames_f.write(line)
def load_gt_file_out():
file_name = GT_FOLDER_NAME + '/' +FLOC_FILE_NAME
file_name = GT_FOLDER_NAME + '/' + FLOC_FILE_NAME
base_filename = []
num = []
with open(file_name, 'r') as f:
......@@ -177,70 +205,36 @@ def load_gt_file_out():
return base_filename, num
def ground_truth_process(nq, topk):
try:
os.mkdir(GT_ALL_FOLDER_NAME)
except:
print('there already exits folder named ' + GT_ALL_FOLDER_NAME + ', please delete it first.')
else:
vectors = load_nq_vec(nq)
print("query list:", len(vectors))
processes = []
process_num = PROCESS_NUM
nq = len(vectors)
loops = nq // process_num
rest = nq % process_num
if rest != 0:
loops += 1
time_start = time.time()
for loop in range(loops):
time1_start = time.time()
base = loop * process_num
if rest != 0 and loop == loops - 1:
process_num = rest
print('base:', loop)
for i in range(process_num):
print('nq_index:', base + i)
if L2:
if base + i == 0:
print("get ground truth by L2.")
process = Process(target=get_ground_truth_l2,
args=(topk, base + i, vectors[base + i]))
elif IP:
if base + i == 0:
print("get ground truth by IP.")
process = Process(target=get_ground_truth_ip,
args=(topk, base + i, vectors[base + i]))
processes.append(process)
process.start()
for p in processes:
p.join()
time1_end = time.time()
print("base", loop, "time_cost = ", round(time1_end - time1_start, 4))
if not os.path.exists(GT_FOLDER_NAME):
os.mkdir(GT_FOLDER_NAME)
get_loc_txt(LOC_FILE_NAME)
get_file_loc_txt(LOC_FILE_NAME, FLOC_FILE_NAME)
if GET_VEC:
vec = []
file, num = load_gt_file_out()
for i in range(len(file)):
n = int(num[i]) - 1
vectors = load_vec_list(BASE_FOLDER_NAME + '/' + file[i])
vec.append(vectors[n])
print("saved len of vec:", len(vec))
np.save(GT_FOLDER_NAME + '/' + VEC_FILE_NAME, vec)
time_end = time.time()
time_cost = time_end - time_start
print("total_time = ", round(time_cost, 4), "\nGet the ground truth successfully!")
def ground_truth_process(metric,nq_list, topk, num):
thread_num = len(nq_list)
with ProcessPoolExecutor(thread_num) as executor:
for i in range(thread_num):
# print("Process:",num+i)
if metric == 'L2':
executor.submit(get_ground_truth_l2, topk, num+i, nq_list[i])
elif metric == 'IP':
executor.submit(get_ground_truth_ip, topk, num+i, nq_list[i])
elif metric == 'Tan':
executor.submit(get_ground_truth_tanimoto, topk, num+i, nq_list[i])
get_loc_txt(LOC_FILE_NAME)
get_file_loc_txt(LOC_FILE_NAME, FLOC_FILE_NAME)
if GET_VEC:
vec = []
file, num = load_gt_file_out()
for i in range(len(file)):
n = int(num[i]) - 1
vectors = load_vec_list(BASE_FOLDER_NAME + '/' + file[i])
vec.append(vectors[n])
print("saved len of vec:", len(vec))
np.save(GT_FOLDER_NAME + '/' + VEC_FILE_NAME, vec)
def main():
try:
opts, args = getopt.getopt(
sys.argv[1:],
"hlq:k:",
["help", "nq=", "topk="],
"hlq:k:m:",
["help", "nq=", "topk=", "metric="],
)
except getopt.GetoptError:
print("Usage: test.py [-q <nq>] -k <topk> -s")
......@@ -254,9 +248,33 @@ def main():
nq = int(opt_value)
elif opt_name in ("-k", "--topk"):
topk = int(opt_value)
elif opt_name == "-l":
ground_truth_process(nq, topk) # test.py [-q <nq>] -k <topk> -l
sys.exit()
elif opt_name in ("-m", "--metric"):
metric = opt_value
elif opt_name == "-l": # test.py [-q <nq>] -k <topk> -m -l
try:
os.mkdir(GT_ALL_FOLDER_NAME)
except:
print('there already exits folder named ' + GT_ALL_FOLDER_NAME + ', please delete it first.')
sys.exit()
if not os.path.exists(GT_FOLDER_NAME):
os.mkdir(GT_FOLDER_NAME)
print("metric type is",metric)
time_start = time.time()
query_vectors = load_query_vec(nq)
nq = len(query_vectors)
print("query list:", len(query_vectors))
num = math.ceil(nq/PROCESS_NUM)
for i in range(num):
print("start with round:",i+1)
if i==num-1:
ground_truth_process(metric, query_vectors[i*PROCESS_NUM:nq], topk, i*PROCESS_NUM)
else:
ground_truth_process(metric, query_vectors[i*PROCESS_NUM:i*PROCESS_NUM+PROCESS_NUM], topk, i*PROCESS_NUM)
time_end = time.time()
time_cost = time_end - time_start
print("total_time = ", round(time_cost, 4), "\nGet the ground truth successfully!")
if __name__ == '__main__':
......
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或