batch_size argument
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
batch_size argument has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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.
hasArgumentHas Argument(1)
- Loader Variable
ex:loader-variable
hasParameterHas Parameter(1)
- Process Queries Pipeline Method
ex:process-queries-pipeline-method
Other facts (4)
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 | Function Argument | [1] |
| Rdf:type | Function Argument | [2] |
| Has Value | 32 | [1] |
| Inverse Has Value | Loader Variable | [1] |
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References (2)
ctx:claims/beam/16c146b3-4e30-40ba-bda6-27d68d4d4231- full textbeam-chunktext/plain1 KB
doc:beam/16c146b3-4e30-40ba-bda6-27d68d4d4231Show excerpt
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') model = RerankingModel().to(device) dataset = ... # Your dataset loader = torch.utils.data.DataLoader(dataset, batch_size=32, shuffle=True) optimizer…
ctx:claims/beam/2cbdcf90-9d21-4bed-aea6-acf4a8366428- full textbeam-chunktext/plain1 KB
doc:beam/2cbdcf90-9d21-4bed-aea6-acf4a8366428Show excerpt
futures = [executor.submit(self.model.batch_reformulate, queries[i:i+batch_size]) for i in range(0, len(queries), batch_size)] results = [] for future in as_completed(futures): results.ext…
See also
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