Dontopedia

Inner Loop

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Inner Loop has 26 facts recorded in Dontopedia across 11 references, with 2 live disagreements.

26 facts·21 predicates·11 sources·2 in dispute

Mostly:rdf:type(5), iterates over(2), depends on(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (13)

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.

containsContains(3)

appliedInApplied in(1)

appliesInlineInInnerLoopApplies Inline in Inner Loop(1)

consistsOfConsists of(1)

controlsControls(1)

enclosesEncloses(1)

exitsLoopExits Loop(1)

isFullyUtilizedBecauseIs Fully Utilized Because(1)

isLoopVariableIs Loop Variable(1)

iteratedByIterated by(1)

precedesPrecedes(1)

Other facts (26)

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.

26 facts
PredicateValueRef
Rdf:typeFor Loop[5]
Rdf:typeCode Structure[6]
Rdf:typeIteration Statement[7]
Rdf:typeBatch Loop[9]
Rdf:typeNested Loop[11]
Iterates OverFactors List[5]
Iterates OverDataset[9]
Depends onLow Rank Harmonic[1]
IsLohe Local Synchronization[1]
PerformsGated Lohe Phase Update[2]
Receives Positive Evaluationauto-vectorizes perfectly[3]
Auto Vectorizes AcrossAll Alu Lanes[3]
Auto Vectorizes PerfectlyAlu Lanes[3]
Computes Dot Products~65K[4]
Candidate for AccelerationMetal or Amx[4]
Iteration Variablefactor[5]
Nested WithinOuter Loop[5]
Has Propertyauto-vectorizes[6]
Vectorization Scopeall ALU lanes[6]
Vectorization Qualityperfectly[6]
Is Contained inOuter Loop[8]
Has Start ValueI Variable[10]
Has End ValueMin Function Call[10]
Is Controlled byOuter Loop[10]
Enclosed byOuter Loop[11]
IteratesWorker Counts[11]

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.

dependsOnblah/watt-activation/part-208
ex:low-rank-harmonic
isblah/watt-activation/part-208
ex:lohe-local-synchronization
performsblah/watt-activation/part-209
ex:gated-lohe-phase-update
receivesPositiveEvaluationblah/watt-activation/part-529
auto-vectorizes perfectly
autoVectorizesAcrossblah/watt-activation/part-529
ex:all-alu-lanes
autoVectorizesPerfectlyblah/watt-activation/part-529
ex:alu-lanes
computesDotProductsblah/watt-activation/part-632
~65K
candidateForAccelerationblah/watt-activation/part-632
ex:metal-or-amx
typebeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:ForLoop
iterationVariablebeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
factor
iteratesOverbeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:factors-list
nestedWithinbeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:outer-loop
typeblah/watt-activation/526
ex:CodeStructure
hasPropertyblah/watt-activation/526
auto-vectorizes
vectorizationScopeblah/watt-activation/526
all ALU lanes
vectorizationQualityblah/watt-activation/526
perfectly
typebeam/e3b4edc5-6ce9-47ff-b092-3eb3e280084b
ex:Iteration-statement
isContainedInbeam/a55e7e9c-f5ae-4d91-b7ce-cd62d5497865
ex:outer-loop
typebeam/0dc41777-2feb-464f-977d-396cd9e9853c
ex:BatchLoop
iteratesOverbeam/0dc41777-2feb-464f-977d-396cd9e9853c
ex:dataset
hasStartValuebeam/789ff1ce-e287-4688-bacb-e009f454ec0f
ex:i-variable
hasEndValuebeam/789ff1ce-e287-4688-bacb-e009f454ec0f
ex:min-function-call
is-controlled-bybeam/789ff1ce-e287-4688-bacb-e009f454ec0f
ex:outer-loop
typebeam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
ex:NestedLoop
enclosedBybeam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
ex:outer-loop
iteratesbeam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
ex:worker_counts

References (11)

11 references
  1. [1]Part 2082 facts
    ctx:discord/blah/watt-activation/part-208
  2. [2]Part 2091 fact
    ctx:discord/blah/watt-activation/part-209
  3. [3]Part 5293 facts
    ctx:discord/blah/watt-activation/part-529
  4. [4]Part 6322 facts
    ctx:discord/blah/watt-activation/part-632
  5. ctx:claims/beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
      Show excerpt
      :param weights: Dictionary of weights for each factor :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define
  6. [6]5264 facts
    ctx:discord/blah/watt-activation/526
    • full textwatt-activation-526
      text/plain2 KBdoc:agent/watt-activation-526/9508ee51-23f2-48ee-a3d1-068a9c342df7
      Show excerpt
      [2026-03-23 02:05] xenonfun: ## Performance Summary ``` ┌────────────────────────────────────┬─────────────┬────────────┐ │ Level │ Throughput │ vs │ │ │
  7. ctx:claims/beam/e3b4edc5-6ce9-47ff-b092-3eb3e280084b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e3b4edc5-6ce9-47ff-b092-3eb3e280084b
      Show excerpt
      return lang # Fallback to polyglot for rare languages detector = Detector(text) return detector.language.code except langdetect.LangDetectException: logging.error(f"Unable to detect l
  8. ctx:claims/beam/a55e7e9c-f5ae-4d91-b7ce-cd62d5497865
  9. ctx:claims/beam/0dc41777-2feb-464f-977d-396cd9e9853c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0dc41777-2feb-464f-977d-396cd9e9853c
      Show excerpt
      - **Mixed Precision Training**: Use mixed precision training (e.g., `torch.cuda.amp`) to further improve performance. Would you like to explore any specific aspect further, such as mixed precision training or gradient accumulation? [Turn
  10. ctx:claims/beam/789ff1ce-e287-4688-bacb-e009f454ec0f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/789ff1ce-e287-4688-bacb-e009f454ec0f
      Show excerpt
      # Simulate covering groups of steps for i in range(1000, 14550, 100): # Cover steps in groups of 100 for j in range(i, min(i + 100, 14550)): self.steps[j].assert_called() self.cov
  11. ctx:claims/beam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
    • full textbeam-chunk
      text/plain1 KBdoc:beam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
      Show excerpt
      worker_counts = [5, 10, 20] for batch_size in batch_sizes: for worker_count in worker_counts: start_time = time.time() reformulated_queries = handle_queries(test_queries[:batch_size], max_workers=worker_count) e

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