Comments (3)
Can you provide context on what you were trying to run, or how to run it?
The above error typically occurs when you run out of GPU memory.
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Yes, my data is too large.So, what's approach I could employ to solve the problem of limited gpu memory?Please give me some suggestions. Thanks.
from faiss.
Hi,
Please take a look at
https://github.com/facebookresearch/faiss/blob/master/benchs/bench_gpu_sift1m.py#L85
and read
https://github.com/facebookresearch/faiss/wiki/High-level-interface-and-auto-tuning#guidelines
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Related Issues (20)
- Is it possible to lazy load index from disk? HOT 1
- Binary embeddings score normalization HOT 1
- No conda package for faiss-cpu 1.8.0 for osx-64 on pytorch channel HOT 5
- Static library libfaiss_gpu.a not installed HOT 1
- faiss_gpu object is not linked to static library libfaiss.a HOT 3
- Error when building static library for AVX2 and GPU HOT 2
- Cannot debug similarity search HOT 1
- Add a tutorial for IndexHNSW HOT 3
- Segfault error on faiss.IndexIVFFlat().train HOT 1
- knn_gpu should use raft when raft is compiled in HOT 2
- ImportError: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.20' not found HOT 1
- Remove lapack dependency? HOT 1
- Faiss imported after Torch leads to segfault HOT 2
- Suggestions on implementing multi-scale quantization HOT 3
- The similarity results obtained from the index.faiss file are significantly different from those obtained from previous versions HOT 1
- inquiry related to DistanceComputer HOT 2
- Failed to install via poetry HOT 1
- Update the raft handle through StandardGpuResourcesImpl::setDefaultStream
- [Feature Request] GPU indices Provide Interface to Access Resource HOT 2
- faiss index and retriever not able to save HOT 1
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