| # Copyright (c) 2025 SandAI. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import os | |
| import random | |
| import numpy as np | |
| import torch | |
| def env_is_true(env_name: str) -> bool: | |
| return str(os.environ.get(env_name, "0")).lower() in {"1", "true", "yes", "y", "on", "enabled"} | |
| def divide(numerator, denominator): | |
| assert numerator % denominator == 0, "{} is not divisible by {}".format(numerator, denominator) | |
| return numerator // denominator | |
| def set_random_seed(seed): | |
| """Set random seed. | |
| Args: | |
| seed (int): Seed to be used. | |
| """ | |
| assert seed is not None, "Please provide a seed in config.json" | |
| random.seed(seed) | |
| np.random.seed(seed) | |
| torch.manual_seed(seed) | |
| torch.cuda.manual_seed_all(seed) | |
| return seed | |