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Awesome GitHub RepositoriesDevice Execution Guards
Logic for managing device and stream switching to ensure operations run in the correct execution context.
Distinct from Container Device Interface Implementations: Focuses on runtime execution context and stream management rather than embedded logic or hardware interfaces.
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Awesome Device Execution Guards GitHub Repositories
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- apachecn/pytorch-doc-zh
apachecn/pytorch-doc-zh
4,224GitHub पर देखेंThis project is a Chinese language translation of the technical guides and API references for the PyTorch deep learning framework. It serves as a localized knowledge base and reference material to make deep learning documentation accessible to non-English speakers. The documentation covers a comprehensive range of PyTorch capabilities, including neural network model development, automatic differentiation, and the implementation of backend kernels. It provides detailed guidance on distributed training strategies, model deployment through formats like ONNX and C++, and various model optimizatio
Guides the implementation of device guards for managing execution contexts and streams.
Shelldeep-learningdocumentationpython
