linux 保存训练日志

python train_model.py > training.log 2>&1

import logging

# 配置日志
logging.basicConfig(filename='training.log', level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# 在训练过程中记录日志
logging.info('Starting training...')
try:
    # 训练代码
    logging.info('Training completed successfully.')
except Exception as e:
    logging.error(f'Training failed: {e}')

import tensorflow as tf
from datetime import datetime

# 创建日志目录
log_dir = "logs/fit/" + datetime.now().strftime("%Y%m%d-%H%M%S")
tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)

# 在模型训练时添加回调
model.fit(x_train, y_train, epochs=5, callbacks=[tensorboard_callback])

tensorboard --logdir logs/fit

/path/to/training.log {
    daily
    rotate 7
    compress
    delaycompress
    missingok
    notifempty
    create 640 root root
}