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Tools that generate operator delegation tables, memory profiles, and time profiles specifically for diagnosing exported large language models.
Distinct from Debugging and Profiling Tools: Distinct from Debugging and Profiling Tools: specifically targets LLM profiling with operator delegation tables and memory profiles, not general application debugging.
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ExecuTorch 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,
Generates operator delegation tables, memory profiles, and time profiles to diagnose exported LLM performance.