rtl-acquire

What problem does it solve?

This Skill automates the discovery, screening, and acquisition of RTL designs at scale, followed by synthesis into pre-layout graphs, enabling the creation of large-scale training datasets for RTL graph analysis.

Core Features & Use Cases

• RTL Corpus Acquisition: Systematically discover and acquire RTL designs from various sources (local repositories, manifests, keyword search).
• Synthesis: Synthesize acquired RTL designs into pre-layout graphs.
• Use Case: Imagine you need a large dataset of RTL designs for training a graph analysis model. Use this Skill to acquire and synthesize thousands of designs into a graph format suitable for training.

Quick Start

Run the acquisition and synthesis workflow for RTL designs with the command: python3 scripts/run_expansion_round.py --discover --run-retry