binary-size

You can reduce ExecuTorch binary size by building size benchmarks, applying size optimization flags in CMake builds, and stripping artifacts. This workflow identifies large sections like .text and .rodata to enable targeted footprint reductions for memory-constrained edge devices.

Measuring binary size optimization involves establishing a baseline build, stripping binaries, and comparing outputs using tools like nm, strings, and bloaty. This provides reproducible size metrics to evaluate the impact of size optimization flags.

To identify large sections contributing to C++ on-device binary footprint, you analyze compiled binaries using tools like nm, strings, and bloaty. This pinpoints oversized sections such as .text and .rodata for targeted size optimization.

Yes, you can use stripping and build comparisons in a CI pipeline for size optimization. The workflow supports comparing baseline versus optimized builds to generate reproducible size measurements, making it suitable for automated CI pipelines.

You need to strip artifacts and compare builds for embedded deployments when targeting microcontrollers and edge devices with limited RAM and flash. Stripping binaries and measuring size metrics ensures the final footprint fits strict storage constraints.