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from __future__ import annotations
import json
import random
from pathlib import Path
from typing import Any
import numpy as np
def seed_everything(seed: int) -> None:
random.seed(seed)
np.random.seed(seed)
try:
import torch
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
torch.backends.cudnn.benchmark = True
except Exception:
pass
def ensure_dir(path: str | Path) -> Path:
path = Path(path)
path.mkdir(parents=True, exist_ok=True)
return path
def write_json(obj: dict[str, Any], path: str | Path) -> None:
path = Path(path)
path.parent.mkdir(parents=True, exist_ok=True)
with path.open("w", encoding="utf-8") as f:
json.dump(obj, f, indent=2)
def count_parameters(model: Any) -> int:
return sum(p.numel() for p in model.parameters() if p.requires_grad)
def get_device(name: str):
import torch
if name.startswith("cuda") and torch.cuda.is_available():
return torch.device(name)
return torch.device("cpu")