torch.device
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torch.device has 4 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
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hasTypeHas Type(2)
- Device Variable
ex:device-variable - Device Variable
ex:device-variable
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| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Data Type | [1] |
| Rdf:type | Py Torch Class | [2] |
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References (2)
ctx:claims/beam/16c146b3-4e30-40ba-bda6-27d68d4d4231- full textbeam-chunktext/plain1 KB
doc:beam/16c146b3-4e30-40ba-bda6-27d68d4d4231Show 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…
ctx: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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