Random Tensor Gen
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Random Tensor Gen has 3 facts recorded in Dontopedia across 1 reference.
3 facts·3 predicates·1 sources
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (3)
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3 facts
| Predicate | Value | Ref |
|---|---|---|
| Function | Torch Randn | [1] |
| Size Arg1 | 1 | [1] |
| Size Arg2 | 512 | [1] |
Timeline
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functionbeam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5
ex:torch-randn
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size-arg1beam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5
1
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size-arg2beam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5
512
References (1)
1 references
ctx:claims/beam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5- full textbeam-chunktext/plain1 KB
doc:beam/b481f9b6-f6a1-4361-98f9-1f1ab9061fb5Show excerpt
x = self.fc2(x) return x # Initialize the model and optimizer model = MyModel() optimizer = torch.optim.Adam(model.parameters(), lr=0.001) # Define the feedback loop logic def feedback_loop(model, optimizer, data): # U…
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