nn.Module.__init__ call
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nn.Module.__init__ call has 6 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
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raw canonical shape-checked rule-derived certifiedInbound mentions (8)
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callsSuperCalls Super(5)
- Init
ex:__init__ - Init
ex:__init__ - Init
ex:__init__ - Init Method
ex:__init__-method - Init
__init__
invokesInvokes(2)
- Super Call
ex:super-call - Super Call
ex:super-call
callsCalls(1)
- Init
ex:__init__
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Super Constructor Call | [1] |
| Rdf:type | Super Constructor Call | [2] |
| Rdf:type | Parent Constructor | [3] |
| Rdf:type | Parent Constructor Call | [4] |
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References (4)
ctx:claims/beam/c6ee25c2-5292-4256-95f3-8b4c1563623a- full textbeam-chunktext/plain1 KB
doc:beam/c6ee25c2-5292-4256-95f3-8b4c1563623aShow excerpt
class ResizingModule(nn.Module): def __init__(self): super(ResizingModule, self).__init__() self.fc1 = nn.Linear(512, 128) self.fc2 = nn.Linear(128, 128) def forward(self, x): x = torch.relu(self.fc1…
ctx:claims/beam/e544e68c-76b5-4e41-95e3-2d1c8d6c4836- full textbeam-chunktext/plain1 KB
doc:beam/e544e68c-76b5-4e41-95e3-2d1c8d6c4836Show excerpt
- The `model` is created with a dynamic context size. - The `model.summary()` prints the model structure, and `model.predict` tests the model with the padded `input_ids`. By following these steps and using the provided example code, you sh…
ctx:claims/beam/fa097ab4-7c54-4d7c-bce6-50883cbc7667ctx:claims/beam/2b55433d-f10b-4ba8-ac07-7b8a156dc333- full textbeam-chunktext/plain1 KB
doc:beam/2b55433d-f10b-4ba8-ac07-7b8a156dc333Show excerpt
- Use tools like `torch.utils.benchmark` to measure and compare the performance of different configurations. ### Example with Error Handling Here's an example with error handling: ```python import torch import torch.nn as nn class Sc…
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