relu
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
relu has 11 facts recorded in Dontopedia across 5 references, with 1 live disagreement.
Mostly:rdf:type(3), returns type(1), applies unary op(1)
Maturity scale
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.
containsCodeContains Code(1)
- Message 2026 02 25 13 15
ex:message-2026-02-25-13-15
hasMemberHas Member(1)
- Activation Pool
ex:activation-pool
providesProvides(1)
- Torch
ex:torch
providesFunctionsProvides Functions(1)
- Torch Namespace
torch-namespace
Other facts (10)
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 | Activation Function | [3] |
| Rdf:type | Py Torch Function | [4] |
| Rdf:type | Activation Function | [5] |
| Returns Type | TensorData | [1] |
| Applies Unary Op | x > 0 ? x : 0 | [1] |
| Takes Input Type | TensorData | [1] |
| Has Parameter | Parameter a | [2] |
| Invokes Function | unaryOp | [2] |
| Defines Logic | x > 0 ? x : 0 | [2] |
| Applied in | Forward Method | [3] |
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 (5)
ctx:discord/blah/training-and-evals/part-21ctx:discord/blah/training-and-evals/21- full texttraining-and-evals-21text/plain2 KB
doc:agent/training-and-evals-21/9cfc0243-2772-4a86-8d1d-cdb625ab29f4Show excerpt
[2026-02-25 11:49] ajaxdavis: https://alpha.omegaai.dev/runs/historic_chat_v2_20260225114638_5ke3 [2026-02-25 12:12] ajaxdavis: https://docs.google.com/document/d/1DTgZf5HC4xD1xntzZUIPAM5B4BrX9YW-sP34ekMpuHE/edit?tab=t.0' [2026-02-25 12:37]…
ctx:claims/beam/bd2c22f5-1099-406f-9764-f64596aa4f4f- full textbeam-chunktext/plain1 KB
doc:beam/bd2c22f5-1099-406f-9764-f64596aa4f4fShow excerpt
self.context_window = context_window def process_queries(self, queries): results = [] for query in queries: result = self.context_window.process_query(query) results.append(result) …
ctx:claims/beam/343d7abc-9aa0-4e2b-8884-910c760bfe88- full textbeam-chunktext/plain1 KB
doc:beam/343d7abc-9aa0-4e2b-8884-910c760bfe88Show excerpt
self.fc1 = nn.Linear(512, 128) self.fc2 = nn.Linear(128, 10) def forward(self, x): x = torch.relu(self.fc1(x)) x = self.fc2(x) return x # Initialize the model and optimizer model = MyModel() opt…
ctx:claims/beam/589ac63e-194c-400f-a2f3-3b06bbc73235- full textbeam-chunktext/plain1 KB
doc:beam/589ac63e-194c-400f-a2f3-3b06bbc73235Show excerpt
def __len__(self): return len(self.queries) def __getitem__(self, idx): query = self.queries[idx] label = self.labels[idx] return {'query': query, 'label': label} # Define the model class DebugModel…
See also
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