AIEDA · DOC

Getting Started

Getting Started — AI-ready design data, models, and datasets on top of iEDA.

Open EDAAI-readyCommunity docsLive TOC

doc — usage

# open iEDA stack
$ ieda open usage
[nav ] module linked         ok
[docs] pages indexed         ok
[ai  ] state exportable      ok
→ continue exploring

iMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout modeliMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout model

3Pages here

RTL→GDSOpen flow

AIExportable state

GPL-3.0License

Basic Usage Example

import aieda
from aieda.workspace import workspace_create
from aieda.flows import RunIEDA, DataGeneration
from aieda.analysis import CellTypeAnalyzer
from aieda.ai import TabNetTrainer

# Create workspace
workspace = workspace_create(directory="./my_design", design="gcd")

# Run EDA flow
run_ieda = RunIEDA(workspace)
run_ieda.run_flows()

# Generate training data
data_gen = DataGeneration(workspace)
data_gen.generate_vectors()

# Perform analysis
analyzer = CellTypeAnalyzer()
analyzer.analyze()

# Train AI model
trainer = TabNetTrainer()
trainer.train()

Running Tests

# Test iEDA backend
python test/test_ieda_backend.py

# Test design-level analysis
python test/test_analysis_design.py

# Test AI model training
python test/test_ai_task_placement.py