Data Loader Instance
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Data Loader Instance has 9 facts recorded in Dontopedia across 2 references, with 3 live disagreements.
Mostly:rdf:type(2), has parameter(2), parameter value(2)
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.
createsCreates(1)
- Example Usage Section
ex:example-usage-section
iterates-overIterates Over(1)
- Batch Variable
ex:batch-variable
iteratesOverIterates Over(1)
- Batch Processing Loop
ex:batch-processing-loop
Other facts (9)
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 | Data Loader | [1] |
| Rdf:type | Data Loader Instance | [2] |
| Has Parameter | batch_size | [1] |
| Has Parameter | num_workers | [1] |
| Parameter Value | 1000 | [1] |
| Parameter Value | 4 | [1] |
| Initialized With | Custom Dataset Instance | [1] |
| Enables | Batch Processing | [1] |
| Yields | Batch Object | [2] |
Timeline
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References (2)
ctx:claims/beam/605023bc-3480-4af4-a3b2-03a662d04cfc- full textbeam-chunktext/plain1 KB
doc:beam/605023bc-3480-4af4-a3b2-03a662d04cfcShow excerpt
def __init__(self, model, device='cpu'): self.model = model.to(device) self.device = device def preprocess(self, input_data): return torch.tensor(input_data, dtype=torch.float32).to(self.device) def sco…
ctx:claims/beam/c8102774-0736-45ab-8d51-87fae35d0377- full textbeam-chunktext/plain1 KB
doc:beam/c8102774-0736-45ab-8d51-87fae35d0377Show excerpt
for epoch in range(100): for batch in data_loader: inputs = batch['query'].float().to(device) labels = batch['label'].long().to(device) optimizer.zero_grad() outputs = model(input…
See also
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