1 repositorio
Awesome GitHub RepositoriesModel Method Initializations
The process of initializing specific execution paths, tensor metadata, and hardware delegates within a compiled model.
Distinct from Runtime Initializations: Focuses on AI model-specific method and delegate initialization rather than general language runtime setup.
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Awesome Model Method Initializations GitHub Repositories
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- pytorch/executorch
pytorch/executorch
4,296Ver en GitHubExecuTorch is a lightweight C++ runtime for deploying PyTorch models on mobile, embedded, and edge hardware. It provides an ahead-of-time compilation pipeline that exports, quantizes, and lowers model graphs into compact serialized programs, then executes them through a minimal runtime with hardware acceleration and on-device large language model inference capabilities. The project distinguishes itself through a hardware accelerator delegate system that partitions model subgraphs and offloads computation to specialized backends including NPUs, GPUs, and DSPs from Apple, Arm, Intel, MediaTek,
Runs named methods on loaded models, passing tensors and retrieving outputs from the runtime.
Pythondeep-learningembeddedgpu
