2021-06-01 14:18:44 +08:00
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2021-06-01 11:18:55 +08:00
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import numpy as np
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2021-06-01 11:22:13 +08:00
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from interface import Graph_Index
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2021-06-01 11:18:55 +08:00
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# 随机产生样本
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index_vectors = np.random.rand(100000,128).astype(np.float32)
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query_vector = np.random.rand(128).astype(np.float32)
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index_docs = ["ID_"+str(i) for i in range(100000)]
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# 初始化索引结构
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indexer = Graph_Index(dist_type="IP") #支持"IP"和"L2"
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indexer.build(gallery_vectors=index_vectors, gallery_docs=index_docs, pq_size=100, index_path='test')
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# 查询
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scores, docs = indexer.search(query=query_vector, return_k=10, search_budget=100)
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print(scores)
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print(docs)
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# 保存与加载
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indexer.dump(index_path="test")
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indexer.load(index_path="test")
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