utils.py

# Copyright (c) 2022 PaddlePaddle Authors. 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 sys
import os
import logging
import datetime
import torch
import argparse


def str2bool(s):
    if isinstance(s, bool):
        return s
    if s.lower() in ('yes', 'true'):
        return True
    elif s.lower() in ('no', 'false'):
        return False
    else:
        raise argparse.ArgumentTypeError('bool value expected.')


def _create_if_not_exist(path):
    basedir = os.path.dirname(path)
    if not os.path.exists(basedir):
        os.makedirs(basedir)


def get_local_time():
    cur = datetime.datetime.now()
    cur = cur.strftime('%b-%d-%Y_%H-%M-%S')
    return cur


def get_logger(config, name=None):
    """
    Logger

    Args:
        config(ConfigParser): config
        name: specified name

    Returns:
        Logger: logger
    """
    log_dir = './log'
    if not os.path.exists(log_dir):
        os.makedirs(log_dir)
    log_filename = '{}-{}-{}-{}.log'.format(config.exp_id, config.model, config.filename[:-4], get_local_time())
    logfilepath = os.path.join(log_dir, log_filename)

    logger = logging.getLogger(name)

    log_level = config.get('log_level', 'INFO')

    if log_level.lower() == 'info':
        level = logging.INFO
    elif log_level.lower() == 'debug':
        level = logging.DEBUG
    elif log_level.lower() == 'error':
        level = logging.ERROR
    elif log_level.lower() == 'warning':
        level = logging.WARNING
    elif log_level.lower() == 'critical':
        level = logging.CRITICAL
    else:
        level = logging.INFO

    logger.setLevel(level)

    formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
    file_handler = logging.FileHandler(logfilepath)
    file_handler.setFormatter(formatter)

    console_formatter = logging.Formatter(
        '%(asctime)s - %(levelname)s - %(message)s')
    console_handler = logging.StreamHandler(sys.stdout)
    console_handler.setFormatter(console_formatter)

    logger.addHandler(file_handler)
    logger.addHandler(console_handler)

    logger.info('Log directory: %s', log_dir)
    return logger


def ensure_dir(dir_path):
    """Make sure the directory exists, if it does not exist, create it.

    Args:
        dir_path (str): directory path
    """
    if not os.path.exists(dir_path):
        os.makedirs(dir_path)


def save_model(output_path,
               model,
               steps=None,
               opt=None,
               lr_scheduler=None,
               max_ckpt=2, log=None):
    if not os.path.exists(output_path):
        os.makedirs(output_path)
    output_dir = os.path.join(output_path, "model_%d.pt" % steps)
    torch.save(model.state_dict(), output_dir)


def load_model(output_path, model, opt=None, lr_scheduler=None, log=None):
    log.info("load model from  %s" % output_path)
    model_state = torch.load(output_path)
    model.load_state_dict(model_state)