Dontopedia

Pytorch Training Loop

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

Pytorch Training Loop has 4 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

4 facts·2 predicates·1 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (1)

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isCodeSectionIs Code Section(1)

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.

4 facts
PredicateValueRef
Contains SectionForward Pass[1]
Contains SectionBackward Pass[1]
Contains SectionLogging Section[1]
Is Code BlockTraining Example[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.

isCodeBlockbeam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
ex:training-example
containsSectionbeam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
ex:forward-pass
containsSectionbeam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
ex:backward-pass
containsSectionbeam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
ex:logging-section

References (1)

1 references
  1. ctx:claims/beam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d9a80d69-c4c9-47c5-8393-2eaf674f6563
      Show excerpt
      inputs = torch.tensor(decrypted_batch['query'], dtype=torch.float32).to(device) labels = torch.tensor(decrypted_batch['label'], dtype=torch.long).to(device) # Forward pass outputs = model(inputs) los

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