Dontopedia

Torch Save Function

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Torch Save Function has 3 facts recorded in Dontopedia across 2 references.

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

Other facts (3)

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3 facts
PredicateValueRef
Rdf:typePy Torch Function[1]
Rdf:typePy Torch Function[2]
SerializesPython Object[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.

3 undated
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typebeam/7791191d-1137-4a89-a9b4-1a376dfcb591
ex:PyTorchFunction
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serializesbeam/7791191d-1137-4a89-a9b4-1a376dfcb591
ex:python-object
—
typebeam/343d7abc-9aa0-4e2b-8884-910c760bfe88
ex:PyTorchFunction

References (2)

2 references
  1. [1]7791191d 1137 4a89 A9b4 1a376dfcb5912 facts
    ctx:claims/beam/7791191d-1137-4a89-a9b4-1a376dfcb591
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7791191d-1137-4a89-a9b4-1a376dfcb591
      Show excerpt
      # Zero gradients optimizer.zero_grad() print(f"Epoch {epoch+1}/{5}, Loss: {loss.item():.4f}") # Save the model torch.save(model.state_dict(), 'rag_model.pth') ``` ### Explanation 1. **Compute Query Complexity**: -…
  2. [2]343d7abc 9aa0 4e2b 8884 910c760bfe881 fact
    ctx:claims/beam/343d7abc-9aa0-4e2b-8884-910c760bfe88
    • full textbeam-chunk
      text/plain1 KBdoc:beam/343d7abc-9aa0-4e2b-8884-910c760bfe88
      Show 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…

See also

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