| import os |
| import random |
| import rich |
| from rich.panel import Panel |
| from rich.syntax import Syntax |
| from omegaconf import DictConfig, OmegaConf |
| import numpy as np |
| import torch |
|
|
| from src.utils.train.distributed import DIST_WRAPPER |
|
|
|
|
| def print_configs(configs: DictConfig) -> None: |
| if DIST_WRAPPER.rank == 0: |
| panel = Panel( |
| Syntax( |
| OmegaConf.to_yaml(configs, resolve=True), |
| "yaml", |
| background_color="default", |
| line_numbers=True, |
| indent_guides=True, |
| ), |
| title="Configs", |
| expand=False, |
| ) |
| rich.print(panel) |
|
|
|
|
| def seed_everything(seed, deterministic): |
| random.seed(seed) |
| np.random.seed(seed) |
| torch.random.manual_seed(seed) |
| torch.cuda.manual_seed_all(seed) |
| if deterministic: |
| torch.backends.cudnn.benchmark = False |
| |
| torch.backends.cudnn.deterministic = True |
| |
| torch.use_deterministic_algorithms(True) |
| |
| os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8" |
