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# | |
# Pyserini: Reproducible IR research with sparse and dense representations | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# | |
import faiss | |
import pickle | |
import argparse | |
import numpy as np | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser() | |
parser.add_argument('--embeddings', type=str, required=True, help="Path to embeddings file from generate_passage_embeddings.py from dkrr repo") | |
parser.add_argument('--output', type=str, help='Path to store faiss IndexFlatIP', required=True) | |
args = parser.parse_args() | |
with open(args.embeddings, 'rb') as embeddings_file: | |
ids, embeddings = pickle.load(embeddings_file) | |
embeddings = np.array(embeddings, dtype=np.float32) | |
index = faiss.IndexFlatIP(embeddings.shape[1]) | |
index.add(embeddings) | |
faiss.write_index(index, args.output) | |