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Few things I noticed @DonTizi upgrading to the latest version today 0.1.34.
On startup, appear to be a foreign language notification?
⚠️ Avertissement: la bibliothèque FlagEmbedding n'est pas installée. Exécutez 'rlama install-dependencies' pour l'installer
Pour installer les dépendances, exécutez: rlama install-dependencies
⚠️ Avertissement: la bibliothèque FlagEmbedding n'est pas installée. Exécutez 'rlama install-dependencies' pour l'installer
Pour installer les dépendances, exécutez: rlama install-dependencies
After rlama setup and just a few OCR conversations all my CPU cores go to 100% and seems to hang. No further processing happens, just CPU at 100%.
The text was updated successfully, but these errors were encountered:
After waiting around 15 minutes, it finally moved on to the next PDF file. I'm thinking tesseract using n(cpu cores) + 1 might have been a bit aggressive and actually massively slowing down the process due to resource starvation. Perhaps n(cpu cores) - 1 is a better default for concurrency for tesseract and OCR operations?
Confirmed, resource starvation indeed seems to be the problem. A document with 2,3,4 pages processes almost instantly, but as soon as documents that uses all 9 threads starts grinds to a halt. Just curious, why is each worker process of tesseract spawning 3 threads each itself?
Few things I noticed @DonTizi upgrading to the latest version today
0.1.34
.On startup, appear to be a foreign language notification?
After
rlama
setup and just a few OCR conversations all my CPU cores go to 100% and seems to hang. No further processing happens, just CPU at 100%.The text was updated successfully, but these errors were encountered: