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mixed precision training

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mixed precision training has 3 facts recorded in Dontopedia across 1 reference.

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

Inbound mentions (1)

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describesTechniqueDescribes Technique(1)

Other facts (2)

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2 facts
PredicateValueRef
Rdf:typeTraining Technique[1]
Inverse Used inPytorch Optimization Point[1]

Timeline

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typebeam/16c146b3-4e30-40ba-bda6-27d68d4d4231
ex:TrainingTechnique
labelbeam/16c146b3-4e30-40ba-bda6-27d68d4d4231
mixed precision training
inverseUsedInbeam/16c146b3-4e30-40ba-bda6-27d68d4d4231
ex:pytorch-optimization-point

References (1)

1 references
  1. ctx:claims/beam/16c146b3-4e30-40ba-bda6-27d68d4d4231
    • full textbeam-chunk
      text/plain1 KBdoc:beam/16c146b3-4e30-40ba-bda6-27d68d4d4231
      Show excerpt
      device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') model = RerankingModel().to(device) dataset = ... # Your dataset loader = torch.utils.data.DataLoader(dataset, batch_size=32, shuffle=True) optimizer

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