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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 json | |
| import os | |
| import argparse | |
| import shutil | |
| import numpy as np | |
| import faiss | |
| from tqdm import tqdm | |
| if __name__ == '__main__': | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument('--input', type=str, help='path to embeddings directory', required=True) | |
| parser.add_argument('--output', type=str, help='path to output index dir', required=True) | |
| parser.add_argument('--dim', type=int, default=768, required=False) | |
| parser.add_argument('--hnsw', action="store_true", required=False) | |
| parser.add_argument('--M', type=int, default=256, required=False) | |
| parser.add_argument('--efC', type=int, default=256, required=False) | |
| parser.add_argument('--pq', action="store_true", required=False) | |
| parser.add_argument('--pq-m', type=int, default=192, required=False) | |
| parser.add_argument('--pq-nbits', type=int, default=8, required=False) | |
| parser.add_argument('--threads', type=int, default=12, required=False) | |
| args = parser.parse_args() | |
| faiss.omp_set_num_threads(args.threads) | |
| if not os.path.exists(args.output): | |
| os.mkdir(args.output) | |
| if 'index' in os.listdir(args.input): | |
| shutil.copy(os.path.join(args.input, 'docid'), os.path.join(args.output, 'docid')) | |
| bf_index = faiss.read_index(os.path.join(args.input, 'index')) | |
| vectors = bf_index.reconstruct_n(0, bf_index.ntotal) | |
| else: | |
| vectors = [] | |
| with open(os.path.join(args.output, 'docid'), 'w') as f_out: | |
| for filename in tqdm(os.listdir(args.input)): | |
| path = os.path.join(args.input, filename) | |
| with open(path) as f_in: | |
| for line in f_in: | |
| info = json.loads(line) | |
| docid = info['id'] | |
| vector = info['vector'] | |
| f_out.write(f'{docid}\n') | |
| vectors.append(vector) | |
| vectors = np.array(vectors, dtype='float32') | |
| print(vectors.shape) | |
| if args.hnsw and args.pq: | |
| index = faiss.IndexHNSWPQ(args.dim, args.pq_m, args.M) | |
| index.hnsw.efConstruction = args.efC | |
| index.metric_type = faiss.METRIC_INNER_PRODUCT | |
| elif args.hnsw: | |
| index = faiss.IndexHNSWFlat(args.dim, args.M, faiss.METRIC_INNER_PRODUCT) | |
| index.hnsw.efConstruction = args.efC | |
| elif args.pq: | |
| index = faiss.IndexPQ(args.dim, args.pq_m, args.pq_nbits, faiss.METRIC_INNER_PRODUCT) | |
| else: | |
| index = faiss.IndexFlatIP(args.dim) | |
| index.verbose = True | |
| if args.pq: | |
| index.train(vectors) | |
| index.add(vectors) | |
| print(index.ntotal) | |
| faiss.write_index(index, os.path.join(args.output, 'index')) | |