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| Check name | Status | Explanation | Resolution |
|---|---|---|---|
| Linked Issues check |  |
Issue [#2731] requires CPU-only replay of GPU-built IndexHNSWCagra indexes, efSearch sweeps, configurable batch size and CPU search, joined build/search results, and documentation. The PR implemen… |
Make GPU export preserve the configured base_level_only value and include that value in the exported build-result identity used by CPU search. Add an automated test that verifies both conversion choices produce distinct, correctly matched… |
| Docstring Coverage | |
Docstring coverage is 42.86% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 35 functions across 10 files. | Write docstrings for the functions missing them to satisfy the coverage threshold. |
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Check name Status Explanation Title check The title "Add cuvs-bench faiss_cpu_hnsw_cagra" names the main change: a new cuvs-bench algorithm that searches an IndexHNSWCagra. The changeset adds the faiss_cpu_hnsw_cagra wrapper, its config, docs… Description check The description states the new faiss_cpu_hnsw_cagra algorithm that searches an IndexHNSWCagra built by faiss_gpu_cagra_hnsw. It describes the GPU-build and CPU-search workflow, points to running.md, a… Out of Scope Changes check The C++ wrapper, benchmark registration, configuration, filename handling, result joining, plotting, tests, and documentation all support issue [ #2731]. The changes do not demonstrate an unrelated obj…Full details: Title check
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Explanation
The title "Add cuvs-bench faiss_cpu_hnsw_cagra" names the main change: a new cuvs-bench algorithm that searches an IndexHNSWCagra. The changeset adds the faiss_cpu_hnsw_cagra wrapper, its config, docs, and index-name helpers, so the title matches the primary change. It is concise and specific, and it does not name the GPU build or the CPU-only workflow, which is acceptable.
Full details: Description check
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Explanation
The description states the new faiss_cpu_hnsw_cagra algorithm that searches an IndexHNSWCagra built by faiss_gpu_cagra_hnsw. It describes the GPU-build and CPU-search workflow, points to running.md, and cites the linked issue. The changeset includes the wrapper, configs, docs, and index-name helpers that match this description, so the description is related to the changes.
Full details: Out of Scope Changes check
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Explanation
The C++ wrapper, benchmark registration, configuration, filename handling, result joining, plotting, tests, and documentation all support issue [
#2731]. The changes do not demonstrate an unrelated objective.
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Full details: Linked Issues check
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Explanation
Issue [
#2731] requires CPU-only replay of GPU-builtIndexHNSWCagraindexes,efSearchsweeps, configurable batch size and CPU search, joined build/search results, and documentation. The PR implements these paths withfaiss_cpu_hnsw_cagra,efSearchvalues, CPU-only configuration, result matching, plotting, andrunning.mdinstructions. However, the CPU configuration sweepsbase_level_only: [false, true], whilefaiss_gpu<T>::save_unconditionally setsIndexHNSWCagra::base_level_only = truebefore export. The false case is therefore not exercised. The added tests cover naming and result joining, but do not verify conversion-choice preservation or association.Resolution
Make GPU export preserve the configured
base_level_onlyvalue and include that value in the exported build-result identity used by CPU search. Add an automated test that verifies both conversion choices produce distinct, correctly matched CPU search results. If the setting cannot be varied, remove it from the sweep and document the limitation.
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Actionable comments posted: 2
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Inline comments:
Review comments at @cpp/bench/ann/src/faiss/faiss_cpu_wrapper.h:
- Line 196: Before assigning the transferred index with index_.reset(typed),
validate that typed->d matches this->dim_ and typed->metric_type matches
metric_type_; reject the index if either value differs.
Review comments at @python/cuvs_bench/cuvs_bench/plot/__main__.py:
- Line 232: Update the build_algos normalization around get_index_name_prefix so
non-base CPU algorithm names map to the corresponding GPU build key while
preserving their group suffix, such as large, before build_time() performs its
lookup.
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📒 Files selected for processing: 15
cpp/bench/ann/CMakeLists.txtcpp/bench/ann/src/faiss/faiss_cpu_benchmark.cppcpp/bench/ann/src/faiss/faiss_cpu_wrapper.hfern/pages/cuvs_bench/param_tuning.mdfern/pages/cuvs_bench/running.mdpython/cuvs_bench/cuvs_bench/backends/_utils.pypython/cuvs_bench/cuvs_bench/config/algorithms.yamlpython/cuvs_bench/cuvs_bench/config/algos/faiss_cpu_hnsw_cagra.yamlpython/cuvs_bench/cuvs_bench/orchestrator/config_loaders.pypython/cuvs_bench/cuvs_bench/plot/__main__.pypython/cuvs_bench/cuvs_bench/run/data_export.pypython/cuvs_bench/cuvs_bench/run/run.pypython/cuvs_bench/cuvs_bench/tests/test_data_export.pypython/cuvs_bench/cuvs_bench/tests/test_run.pypython/cuvs_bench/cuvs_bench/tests/test_utils.py
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| def get_index_filename(index_name: str) -> str: |
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This solves an existing bug when index names were > 128 characters:
Index names of 128 characters or more were saved under Python's hash(), which is randomized per process, so a later --search run (or a different host) could not find the index built by an earlier --build. Long names now use a SHA-256 digest via a shared get_index_filename() helper, so file names are the same on every run and host; names under 128 characters are unchanged.
| * can run in a CPU-only build. | ||
| */ | ||
| template <typename T> | ||
| class faiss_cpu_hnsw_cagra : public faiss_cpu<T> { |
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This class is almost the same as faiss_cpu_hsnw_flat except it doesn't allow building indexes.
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Hey @aamijar thamk you for working on this. However, I think directionally, we should not have to add new index types for each of these cases. Instead what we want is to improve the ability to build an index on the gpu with cuVS-bench and be able to "export" the index so that it can be easily moved to a cpu-only machine for search. We need be thinking bigger picture here and not just for this index type in isolation. |
Resolves #2731
Add new cuvs-bench algorithm called faiss_cpu_hnsw_cagra that is able to search on a IndexHNSWCagra, which can be built from the algorithm faiss_gpu_cagra_hnsw.
This enables users to build a IndexHNSWCagra on a gpu node and do the search benchmarking on a cpu-only node.
For reviewers the running.md doc is a good starting point for seeing what the workflow looks like.
I've validated this workflow with the python cuvs-bench and cuvs-bench-cpu package.