learned-planner / count_params.py
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Parameter counts and some explanation
a986605 unverified
import json
import os
from pathlib import Path
import farconf
from cleanba.config import Args
from cleanba.environments import SokobanConfig
soko_env = SokobanConfig(
max_episode_steps=100, num_envs=1, dim_room=(10, 10), num_boxes=1, asynchronous=False, tinyworld_obs=True
).make()
def parameter_count(root: Path) -> str:
model_dir = os.listdir(root)[0]
cp_dir = os.listdir(root / model_dir)[0]
with open(root / model_dir / cp_dir / "cfg.json", "r") as f:
cfg = json.load(f)
args = farconf.from_dict(cfg["cfg"], Args)
num = args.net.count_params(soko_env)
return f"{num:,} ({num/1_000_000:.2f}M)"
print("- DRC(3, 3): ", parameter_count(Path("drc33")))
print("- DRC(1, 1): ", parameter_count(Path("drc11")))
print("- ResNet: ", parameter_count(Path("resnet")))