"""Shared utilities."""

import random
import numpy as np
import torch


def set_seed(seed: int):
    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    if torch.cuda.is_available():
        torch.cuda.manual_seed_all(seed)


def count_parameters(model: torch.nn.Module) -> int:
    return sum(p.numel() for p in model.parameters() if p.requires_grad)


def grad_norm(model: torch.nn.Module) -> float:
    total = 0.0
    for p in model.parameters():
        if p.grad is not None:
            total += p.grad.data.norm(2).item() ** 2
    return total ** 0.5