device assignment
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
device assignment has 13 facts recorded in Dontopedia across 6 references, with 2 live disagreements.
Mostly:rdf:type(4), assigns(2), uses ternary operator(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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.
consists-ofConsists of(1)
- Model Setup Sequence
ex:model-setup-sequence
followsFollows(1)
- Model Instantiation
ex:model-instantiation
precedesPrecedes(1)
- Comment Gpu Check
ex:comment-gpu-check
Other facts (12)
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 |
|---|---|---|
| Rdf:type | Operation | [2] |
| Rdf:type | Variable Assignment | [4] |
| Rdf:type | Conditional Assignment | [5] |
| Rdf:type | Conditional Assignment | [6] |
| Assigns | Device Variable | [2] |
| Assigns | device | [4] |
| Uses Ternary Operator | true | [1] |
| Follows | Availability Check | [3] |
| Value | torch.device('cuda' if torch.cuda.is_available() else 'cpu') | [4] |
| Condition | Cuda Available Check | [5] |
| True Value | Cuda Device | [5] |
| False Value | Cpu Device | [5] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (6)
ctx:claims/beam/bd88fada-39be-4f23-92a8-bcf3186013bd- full textbeam-chunktext/plain1 KB
doc:beam/bd88fada-39be-4f23-92a8-bcf3186013bdShow excerpt
[Turn 8818] User: I'm trying to optimize the memory usage for my reranking model, and I've capped it at 1.9GB to reduce spikes by 20% for 11,000 queries. However, I'm not sure if this is the best approach. Can you review my code and suggest…
ctx:claims/beam/2b55433d-f10b-4ba8-ac07-7b8a156dc333- full textbeam-chunktext/plain1 KB
doc:beam/2b55433d-f10b-4ba8-ac07-7b8a156dc333Show excerpt
- Use tools like `torch.utils.benchmark` to measure and compare the performance of different configurations. ### Example with Error Handling Here's an example with error handling: ```python import torch import torch.nn as nn class Sc…
ctx:claims/beam/1dd18c5a-82f0-4898-9740-49697f0d9016ctx:claims/beam/343cede3-dc11-4e37-89af-916034a8c42bctx:claims/beam/4d47005b-a1e7-4757-82f3-77722798dfecctx:claims/beam/24776806-43b0-491e-806d-e4f4e8d75851
See also
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