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This repository was archived by the owner on Oct 31, 2023. It is now read-only.
This repository was archived by the owner on Oct 31, 2023. It is now read-only.

MemoryError: std::bad_alloc #20

@Xnhyacinth

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@Xnhyacinth

Hi, @likethesky when i run python passage_retrieval.py \ --model_name_or_path facebook/contriever \ --passages psgs_w100.tsv \ --passages_embeddings "contriever_embeddings/*" \ --data nq_dir/test.json \ --output_dir contriever_nq \ to retrieve top-100 passages, i meet the error MemoryError: std::bad_alloc, how can i solve it?

The full error is as follows:

│ 27 │ │ embeddings = embeddings.astype('float32') │
│ 28 │ │ if not self.index.is_trained: │
│ 29 │ │ │ self.index.train(embeddings) │
│ ❱ 30 │ │ self.index.add(embeddings) │
│ 31 │ │ │
│ 32 │ │ print(f'Total data indexed {len(self.index_id_to_db_id)}') │
│ 33 │
│ │
│ /usr/local/anaconda3/envs/py39/lib/python3.9/site-packages/faiss/class_wrapp │
│ ers.py:230 in replacement_add │
│ │
│ 227 │ │ n, d = x.shape │
│ 228 │ │ assert d == self.d │
│ 229 │ │ x = np.ascontiguousarray(x, dtype='float32') │
│ ❱ 230 │ │ self.add_c(n, swig_ptr(x)) │
│ 231 │ │
│ 232 │ def replacement_add_with_ids(self, x, ids): │
│ 233 │ │ """Adds vectors with arbitrary ids to the index (not all index │
│ │
│ /usr/local/anaconda3/envs/py39/lib/python3.9/site-packages/faiss/swigfaiss_a │
│ vx2.py:2331 in add │
│ │
│ 2328 │ │
│ 2329 │ def add(self, n, x): │
│ 2330 │ │ r""" default add uses sa_encode""" │
│ ❱ 2331 │ │ return _swigfaiss_avx2.IndexFlatCodes_add(self, n, x) │
│ 2332 │ │
│ 2333 │ def reset(self): │
│ 2334 │ │ return _swigfaiss_avx2.IndexFlatCodes_reset(self) │
╰──────────────────────────────────────────────────────────────────────────────╯
MemoryError: std::bad_alloc

Thanks a lot!

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