Dontopedia

preprocess_input

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

preprocess_input has 29 facts recorded in Dontopedia across 3 references, with 5 live disagreements.

29 facts·19 predicates·3 sources·5 in dispute

Mostly:has parameter(3), returns(3), performs operation(3)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (8)

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.

callsCalls(2)

containsContains(2)

containsFunctionContains Function(1)

describesCodeElementDescribes Code Element(1)

describesFunctionDescribes Function(1)

includesIncludes(1)

Other facts (28)

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.

28 facts
PredicateValueRef
Has Parameterdata[1]
Has ParameterData[2]
Has ParameterInput Text[3]
ReturnsTensor[1]
ReturnsTensor[2]
ReturnsPreprocessed Inputs[3]
Performs OperationText Tokenization[3]
Performs OperationText Padding[3]
Performs OperationText Truncation[3]
Specifies Dtypetorch.float32[1]
Specifies DtypeFloat32[2]
Prepares forForward[1]
Prepares forModel Consumption[2]
Rdf:typeFunction[2]
Rdf:typeFunction[3]
Is Functiontrue[1]
Converts toTensor[1]
Execution Order2[1]
PurposeData Conversion[1]
OutputsTensor[1]
EnsuresCorrect Dtype[1]
Defined inMain Module[2]
ParameterData[2]
Has Purposetokenize input text[3]
Adds Special Tokenstrue[3]
Pads or Truncatestrue[3]
Returns on ExceptionNone Return Value[3]
Called byGenerate Embeddings[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.

isFunctionbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
true
hasParameterbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
data
convertsTobeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:tensor
specifiesDtypebeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
torch.float32
executionOrderbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
2
returnsbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:tensor
purposebeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:data-conversion
preparesForbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:forward
outputsbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:tensor
ensuresbeam/b729dc6d-53ff-42db-95a2-0b4b64111a65
ex:correct-dtype
typebeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
ex:Function
labelbeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
preprocess_input
hasParameterbeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
ex:data
returnsbeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
ex:tensor
specifiesDtypebeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
ex:float32
preparesForbeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
ex:model-consumption
definedInbeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
ex:main-module
parameterbeam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
ex:data
typebeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:Function
hasPurposebeam/7e123de0-d1de-447e-ae50-6ea881c06b52
tokenize input text
addsSpecialTokensbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
true
padsOrTruncatesbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
true
returnsbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:preprocessed-inputs
returnsOnExceptionbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:none-return-value
calledBybeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:generate-embeddings
performsOperationbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:text-tokenization
performsOperationbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:text-padding
performsOperationbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:text-truncation
hasParameterbeam/7e123de0-d1de-447e-ae50-6ea881c06b52
ex:input-text

References (3)

3 references
  1. ctx:claims/beam/b729dc6d-53ff-42db-95a2-0b4b64111a65
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b729dc6d-53ff-42db-95a2-0b4b64111a65
      Show excerpt
      self.fc3 = nn.Linear(32, 1) self.dropout = nn.Dropout(0.5) def forward(self, x): x = torch.relu(self.fc1(x)) x = self.dropout(x) x = torch.relu(self.fc2(x)) x = self.dropout(x) x
  2. ctx:claims/beam/fa097ab4-7c54-4d7c-bce6-50883cbc7667
  3. ctx:claims/beam/7e123de0-d1de-447e-ae50-6ea881c06b52
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7e123de0-d1de-447e-ae50-6ea881c06b52
      Show excerpt
      {'id': 1, 'text': 'This is a relevant result'}, {'id': 2, 'text': 'This is another relevant result'}, {'id': 3, 'text': 'This is an irrelevant result'} ] query = 'Find relevant results' ranked_results = rerank_search_results(s

See also

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