pruned_net
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
pruned_net has 5 facts recorded in Dontopedia across 1 reference.
Mostly:rdf:type(1), created by(1), has part(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.
hasParameterHas Parameter(1)
- L1 Unstructured
ex:l1_unstructured
modifiesModifies(1)
- Pruning Process
ex:pruning-process
partOfPart of(1)
- Fc1
ex:fc1
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 | Neural Network | [1] |
| Created by | Net Constructor | [1] |
| Has Part | Fc1 | [1] |
| Modified by | Pruning Process | [1] |
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 (1)
ctx:claims/beam/0942dca0-a3dc-4189-b023-f8a6d3a42637- full textbeam-chunktext/plain1 KB
doc:beam/0942dca0-a3dc-4189-b023-f8a6d3a42637Show excerpt
print("Baseline Output:", baseline_output) # Quantization net.qconfig = torch.quantization.get_default_qconfig('fbgemm') torch.quantization.prepare(net, inplace=True) with torch.no_grad(): net(input_tensor) torch.quantization.convert(n…
See also
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