Advanced (original) (raw)

Deep dive into ExecuTorch’s advanced features for optimization, customization, and integration.

This section covers advanced concepts for developers who need to customize ExecuTorch for specific use cases, optimize performance, or integrate with custom hardware backends.

Quantization & Optimization#

Techniques for model compression and performance optimization.

Quantization & Optimization — Quantization strategies and performance optimization

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Model Export#

Learn the core ExecuTorch workflow, exporting PyTorch models to the .pte format for edge deployment.

Model Export and Lowering - Model Export & Lowering

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Kernel Library#

Deep dive into ExecuTorch’s kernel implementation and customization.

Kernel Library Deep Dive — Kernel library deep dive and customization

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Backend & Delegates#

Backend & Delegates — Backend delegate integration

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Runtime & Integration#

Advanced runtime features and backend integration.

Runtime & Integration — Runtime customization and backend integration

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Compiler & IR#

Advanced compiler features and intermediate representation details.

Compiler & IR — Compiler passes and IR specification

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File Formats#

ExecuTorch file format specifications and internals.

File Formats — PTE and PTD file format specifications

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Next Steps#

After exploring advanced topics: