google-research / google-research/circuit_training

How to confirm the parameters?

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Description

The code is copy from circuit_training/environment/placement_utils.py. How can I change these parameters to match different size boards and micros.

@gin.configurable
def create_placement_cost(
netlist_file: str,
init_placement: Optional[str] = None,
overlap_threshold: float = 4e-3,
congestion_smooth_range: int = 5,
# TODO(b/211039937): Increase macro spacing to 3-5um, after matching the
# performance for Ariane.
macro_macro_x_spacing: float = 0.1,
macro_macro_y_spacing: float = 0.1,
boundary_check: bool = False,
**horizontal_routes_per_micron: float = 70.33,
vertical_routes_per_micron: float = 74.51,
macro_horizontal_routing_allocation: float = 51.79,
macro_vertical_routing_allocation: float = 51.79,**
routes_per_congestion_grid: int = 1000,
blockages: Optional[List[List[float]]] = None,
fixed_macro_names_regex: Optional[List[str]] = None,
legacy_congestion_grid: bool = False,
) -> plc_client.PlacementCost:
"""Creates a placement cost object.

Contributor guide

Open the contributing guide

Research direction

Start with circuit_training/environment/placement_utils.py and the create_placement_cost function shown in the issue. Document what the listed parameters control and how to choose them for different board and micro sizes; done means a newcomer can adjust the configuration without needing to infer the meaning of each value.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
embedded-iot
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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