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strategy_embedding
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strategy_embedding
Commits
965c7987
Commit
965c7987
authored
Nov 25, 2020
by
赵威
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update index name
parent
92a79400
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3 deletions
+3
-3
diary_similarity.py
doc_similarity/diary_similarity.py
+3
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doc_similarity/diary_similarity.py
View file @
965c7987
...
@@ -17,8 +17,8 @@ def save_result():
...
@@ -17,8 +17,8 @@ def save_result():
bc
=
BertClient
(
"172.16.44.82"
,
check_length
=
False
)
bc
=
BertClient
(
"172.16.44.82"
,
check_length
=
False
)
index_path
=
os
.
path
.
join
(
MODEL_PATH
,
"faiss_diary_similarity.index"
)
index_path
=
os
.
path
.
join
(
MODEL_PATH
,
"faiss_diary_similarity.index"
)
index
=
faiss
.
read_index
(
index_path
)
faiss_
index
=
faiss
.
read_index
(
index_path
)
print
(
index
)
print
(
faiss_
index
)
# level_dict = {"6": set([]), "5": set([]), "4": set([]), "3.5": set([]), "3": set([])}
# level_dict = {"6": set([]), "5": set([]), "4": set([]), "3.5": set([]), "3": set([])}
count
=
0
count
=
0
...
@@ -30,7 +30,7 @@ def save_result():
...
@@ -30,7 +30,7 @@ def save_result():
# level_dict[content_level].add(id)
# level_dict[content_level].add(id)
try
:
try
:
emb
=
np
.
array
([
bc
.
encode
([
content
])
.
tolist
()[
0
]])
.
astype
(
"float32"
)
emb
=
np
.
array
([
bc
.
encode
([
content
])
.
tolist
()[
0
]])
.
astype
(
"float32"
)
D
,
I
=
index
.
search
(
emb
,
10
)
D
,
I
=
faiss_
index
.
search
(
emb
,
10
)
distances
=
D
.
tolist
()[
0
]
distances
=
D
.
tolist
()[
0
]
ids
=
I
.
tolist
()[
0
]
ids
=
I
.
tolist
()[
0
]
res
=
[]
res
=
[]
...
...
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