-
Notifications
You must be signed in to change notification settings - Fork 3.7k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Faiss not working #1
Comments
Thanks for the report! I just waved my hands in the air. Is it better now? |
This was referenced May 9, 2018
1 task
wickedfoo
pushed a commit
that referenced
this issue
Mar 10, 2020
Add cuh files to install include dir.
4 tasks
Closed
4 tasks
4 tasks
tfeher
pushed a commit
to tfeher/faiss
that referenced
this issue
Dec 19, 2022
WIP: Implement some helpers
kuarora
added a commit
to kuarora/faiss
that referenced
this issue
Mar 28, 2024
…Lists Summary: **Context** 1. [Issue 2621](facebookresearch#2621) discuss inconsistency between OnDiskInvertedList and InvertedList. OnDiskInvertedList is supposed to handle disk based multiple Index Shards. Thus, we should name it differently when merging invls from index shard. 2. [Issue 2876](facebookresearch#2876) provides usecase of shifting ids when merging invls from different shards. **In this diff**, 1. To address facebookresearch#1 above, I renamed the merge_from function to merge_from_multiple without touching merge_from base class. why so? To continue to allow merge invl from one index to ondiskinvl from other index. 2. To address facebookresearch#2 above, I have added support of shift_ids in merge_from_multiple to shift ids from different shards. This can be used when each shard has same set of ids but different data. This is not recommended if id is already unique across shards. Differential Revision: D55482518
kuarora
added a commit
to kuarora/faiss
that referenced
this issue
Mar 28, 2024
…Lists (facebookresearch#3327) Summary: **Context** 1. [Issue 2621](facebookresearch#2621) discuss inconsistency between OnDiskInvertedList and InvertedList. OnDiskInvertedList is supposed to handle disk based multiple Index Shards. Thus, we should name it differently when merging invls from index shard. 2. [Issue 2876](facebookresearch#2876) provides usecase of shifting ids when merging invls from different shards. **In this diff**, 1. To address facebookresearch#1 above, I renamed the merge_from function to merge_from_multiple without touching merge_from base class. why so? To continue to allow merge invl from one index to ondiskinvl from other index. 2. To address facebookresearch#2 above, I have added support of shift_ids in merge_from_multiple to shift ids from different shards. This can be used when each shard has same set of ids but different data. This is not recommended if id is already unique across shards. Differential Revision: D55482518
kuarora
added a commit
to kuarora/faiss
that referenced
this issue
Apr 3, 2024
…Lists (facebookresearch#3327) Summary: **Context** 1. [Issue 2621](facebookresearch#2621) discuss inconsistency between OnDiskInvertedList and InvertedList. OnDiskInvertedList is supposed to handle disk based multiple Index Shards. Thus, we should name it differently when merging invls from index shard. 2. [Issue 2876](facebookresearch#2876) provides usecase of shifting ids when merging invls from different shards. **In this diff**, 1. To address facebookresearch#1 above, I renamed the merge_from function to merge_from_multiple without touching merge_from base class. why so? To continue to allow merge invl from one index to ondiskinvl from other index. 2. To address facebookresearch#2 above, I have added support of shift_ids in merge_from_multiple to shift ids from different shards. This can be used when each shard has same set of ids but different data. This is not recommended if id is already unique across shards. Reviewed By: mdouze Differential Revision: D55482518
kuarora
added a commit
to kuarora/faiss
that referenced
this issue
Apr 3, 2024
…Lists (facebookresearch#3327) Summary: **Context** 1. [Issue 2621](facebookresearch#2621) discuss inconsistency between OnDiskInvertedList and InvertedList. OnDiskInvertedList is supposed to handle disk based multiple Index Shards. Thus, we should name it differently when merging invls from index shard. 2. [Issue 2876](facebookresearch#2876) provides usecase of shifting ids when merging invls from different shards. **In this diff**, 1. To address facebookresearch#1 above, I renamed the merge_from function to merge_from_multiple without touching merge_from base class. why so? To continue to allow merge invl from one index to ondiskinvl from other index. 2. To address facebookresearch#2 above, I have added support of shift_ids in merge_from_multiple to shift ids from different shards. This can be used when each shard has same set of ids but different data. This is not recommended if id is already unique across shards. Reviewed By: mdouze Differential Revision: D55482518
kuarora
added a commit
to kuarora/faiss
that referenced
this issue
Apr 3, 2024
…Lists (facebookresearch#3327) Summary: **Context** 1. [Issue 2621](facebookresearch#2621) discuss inconsistency between OnDiskInvertedList and InvertedList. OnDiskInvertedList is supposed to handle disk based multiple Index Shards. Thus, we should name it differently when merging invls from index shard. 2. [Issue 2876](facebookresearch#2876) provides usecase of shifting ids when merging invls from different shards. **In this diff**, 1. To address facebookresearch#1 above, I renamed the merge_from function to merge_from_multiple without touching merge_from base class. why so? To continue to allow merge invl from one index to ondiskinvl from other index. 2. To address facebookresearch#2 above, I have added support of shift_ids in merge_from_multiple to shift ids from different shards. This can be used when each shard has same set of ids but different data. This is not recommended if id is already unique across shards. Reviewed By: mdouze Differential Revision: D55482518
facebook-github-bot
pushed a commit
that referenced
this issue
Apr 3, 2024
…Lists (#3327) Summary: Pull Request resolved: #3327 **Context** 1. [Issue 2621](#2621) discuss inconsistency between OnDiskInvertedList and InvertedList. OnDiskInvertedList is supposed to handle disk based multiple Index Shards. Thus, we should name it differently when merging invls from index shard. 2. [Issue 2876](#2876) provides usecase of shifting ids when merging invls from different shards. **In this diff**, 1. To address #1 above, I renamed the merge_from function to merge_from_multiple without touching merge_from base class. why so? To continue to allow merge invl from one index to ondiskinvl from other index. 2. To address #2 above, I have added support of shift_ids in merge_from_multiple to shift ids from different shards. This can be used when each shard has same set of ids but different data. This is not recommended if id is already unique across shards. Reviewed By: mdouze Differential Revision: D55482518 fbshipit-source-id: 95470c7449160488d2b45b024d134cbc037a2083
yuhaijun999
pushed a commit
to yuhaijun999/faiss
that referenced
this issue
May 20, 2024
…hook-dingodb Added InnerProduct and L2Sqr hook interfaces.
kuarora
added a commit
to kuarora/faiss
that referenced
this issue
Jun 18, 2024
Summary: **Context** Design Doc: [Faiss Benchmarking](https://docs.google.com/document/d/1c7zziITa4RD6jZsbG9_yOgyRjWdyueldSPH6QdZzL98/edit) **In this diff** 1. Be able to reference codec and index from blobstore (bucket & path) outside the experiment 2. To support facebookresearch#1, naming is moved to descriptors. 3. Build index can be written as well. 4. You can run benchmark with train and then refer it in index built and then refer index built in knn search. Index serialization is optional. Although not yet exposed through index descriptor. 5. Benchmark can support index with different datasets sizes 6. Working with varying dataset now support multiple ground truth. There may be small fixes before we could use this. 7. Added targets for bench_fw_range, ivf, codecs and optimize. Differential Revision: D57236543
kuarora
added a commit
to kuarora/faiss
that referenced
this issue
Jun 21, 2024
…ookresearch#3527) Summary: Pull Request resolved: facebookresearch#3527 **Context** Design Doc: [Faiss Benchmarking](https://docs.google.com/document/d/1c7zziITa4RD6jZsbG9_yOgyRjWdyueldSPH6QdZzL98/edit) **In this diff** 1. Be able to reference codec and index from blobstore (bucket & path) outside the experiment 2. To support facebookresearch#1, naming is moved to descriptors. 3. Build index can be written as well. 4. You can run benchmark with train and then refer it in index built and then refer index built in knn search. Index serialization is optional. Although not yet exposed through index descriptor. 5. Benchmark can support index with different datasets sizes 6. Working with varying dataset now support multiple ground truth. There may be small fixes before we could use this. 7. Added targets for bench_fw_range, ivf, codecs and optimize. **Analysis of ivf result**: D58823037 Reviewed By: algoriddle Differential Revision: D57236543
facebook-github-bot
pushed a commit
that referenced
this issue
Jun 21, 2024
Summary: Pull Request resolved: #3527 **Context** Design Doc: [Faiss Benchmarking](https://docs.google.com/document/d/1c7zziITa4RD6jZsbG9_yOgyRjWdyueldSPH6QdZzL98/edit) **In this diff** 1. Be able to reference codec and index from blobstore (bucket & path) outside the experiment 2. To support #1, naming is moved to descriptors. 3. Build index can be written as well. 4. You can run benchmark with train and then refer it in index built and then refer index built in knn search. Index serialization is optional. Although not yet exposed through index descriptor. 5. Benchmark can support index with different datasets sizes 6. Working with varying dataset now support multiple ground truth. There may be small fixes before we could use this. 7. Added targets for bench_fw_range, ivf, codecs and optimize. **Analysis of ivf result**: D58823037 Reviewed By: algoriddle Differential Revision: D57236543 fbshipit-source-id: ad03b28bae937a35f8c20f12e0a5b0a27c34ff3b
asadoughi
pushed a commit
that referenced
this issue
Aug 30, 2024
Summary: Pull Request resolved: #3527 **Context** Design Doc: [Faiss Benchmarking](https://docs.google.com/document/d/1c7zziITa4RD6jZsbG9_yOgyRjWdyueldSPH6QdZzL98/edit) **In this diff** 1. Be able to reference codec and index from blobstore (bucket & path) outside the experiment 2. To support #1, naming is moved to descriptors. 3. Build index can be written as well. 4. You can run benchmark with train and then refer it in index built and then refer index built in knn search. Index serialization is optional. Although not yet exposed through index descriptor. 5. Benchmark can support index with different datasets sizes 6. Working with varying dataset now support multiple ground truth. There may be small fixes before we could use this. 7. Added targets for bench_fw_range, ivf, codecs and optimize. **Analysis of ivf result**: D58823037 Reviewed By: algoriddle Differential Revision: D57236543 fbshipit-source-id: ad03b28bae937a35f8c20f12e0a5b0a27c34ff3b
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi team!
Faiss is not working!
Can you fix it?
Thx
The text was updated successfully, but these errors were encountered: