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Awesome GitHub RepositoriesRuntime Profiling Data Extractors
Captures profiling and debugging data from model execution and exposes it through a structured dump for post-run analysis.
Distinct from Data Observability Profilings: Distinct from Data Observability Profilings: focuses on extracting performance data from ML model runtime execution, not profiling data distributions in databases.
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Awesome Runtime Profiling Data Extractors GitHub Repositories
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- pytorch/executorch
pytorch/executorch
4,296Auf GitHub ansehenExecuTorch 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,
ExecuTorch captures profiling and debugging data from model execution and exposes it through a structured dump for post-run analysis.
Pythondeep-learningembeddedgpu
