The manual macro placement is provided in [manual_floorplan.def](https://github.com/TILOS-AI-Institute/MacroPlacement/blob/main/Flows/NanGate45/ariane133/def/manual_floorplan.def).
We generate the manual macro placement in two steps:
(1) we call the [gridding](https://github.com/TILOS-AI-Institute/MacroPlacement/tree/main/CodeElements/Gridding) scripts to generate grid cells (27 x 27 in our case); (2) we manually place macros on the center of grid cells.
(1) we call the [gridding](https://github.com/TILOS-AI-Institute/MacroPlacement/tree/main/CodeElements/Gridding) scripts to generate grid cells (in this case, we end up with a 27 x 27 grid); (2) we manually place macros so that their centers lie on centers of grid cells, with no overlap between macros or overflow of macros beyond the layout canvas.
The macro placement can be a competitive baseline for [Circuit Training](https://github.com/google-research/circuit_training).
The metrics after different physical design stages are shown below.
Note that this human-constructed macro placement can be a competitive baseline for [Circuit Training](https://github.com/google-research/circuit_training).
The metrics reported by the Innovus tool after different physical design stages are shown below.
Note that (1) we set the activity factor to 0.2 in our flow; (2) the standard cell area does not include physical cells; (3) In order to match [Nature paper](https://www.nature.com/articles/s41586-021-03544-w), we adjust the pin positions to occupy about 60% of the left boundary.
