use_gpu
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
use_gpu has 6 facts recorded in Dontopedia across 2 references.
Mostly:has comment(1), has value(1), purpose(1)
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raw canonical shape-checked rule-derived certifiedInbound mentions (4)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
commentsOnComments on(1)
- Comment Gpu Acceleration
ex:comment-gpu-acceleration
describesDescribes(1)
- Comment Gpu Acceleration
ex:comment-gpu-acceleration
explainsExplains(1)
- Gpu Comment
ex:gpu-comment
usesUses(1)
- Faiss Index Initialization
ex:faiss-index-initialization
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Has Comment | Comment Gpu Acceleration | [1] |
| Has Value | false | [2] |
| Purpose | GPU acceleration | [2] |
| Rdf:type | Boolean Flag | [2] |
| Passed As Argument to | Initialize Faiss Index Function | [2] |
Timeline
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References (2)
ctx:claims/beam/e4762ba4-92ad-42cd-b666-a7f736830e81- full textbeam-chunktext/plain1 KB
doc:beam/e4762ba4-92ad-42cd-b666-a7f736830e81Show excerpt
Here's an improved version of your code incorporating these suggestions: ```python import numpy as np import faiss # Initialize the FAISS index outside the function def initialize_faiss_index(dim, use_gpu=False): if use_gpu: r…
ctx:claims/beam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12- full textbeam-chunktext/plain1 KB
doc:beam/d1235175-e1c4-4a66-a955-c9f6ddbcfd12Show excerpt
use_gpu = False # Set to True if you want to use GPU acceleration index = initialize_faiss_index(dim, use_gpu) # Generate random document embeddings and a query embedding document_embeddings = np.random.rand(200000, dim).astype('float32')…
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