我有一台笔记本电脑，配置如下

Processor : AMD Ryzen 7 4800H with Radeon Graphics            2.90 GHz
 Installed RAM : 16.0 GB (15.4 GB usable)
 Windows Edition : Windows 11 Home Single Language
 Version : 22H2
 OS : 22621.1555
 NVIDIA GTX GEFORCE 1650 GRAPHICS CARD
 NVIDIA DRIVER : 31.0.15.3161

这是一台全新的笔记本电脑，安装了以下Python和CUDA：

Python 3.10.11

---------------------------------------------------------------------------------------+
| NVIDIA-SMI 531.61                 Driver Version: 531.61       CUDA Version: 12.1     |
|-----------------------------------------+----------------------+----------------------+
| GPU  Name                      TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf            Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                                         |                      |               MIG M. |
|=========================================+======================+======================|
|   0  NVIDIA GeForce GTX 1650       WDDM | 00000000:01:00.0 Off |                  N/A |
| N/A   44C    P0               15W /  N/A|      0MiB /  4096MiB |      0%      Default |
|                                         |                      |                  N/A |
+-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+
| Processes:                                                                            |
|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |
|        ID   ID                                                             Usage      |
|=======================================================================================|
|  No running processes found                                                           |
+---------------------------------------------------------------------------------------+

但是，每当我尝试运行我的YOLOV8模型进行对象检测时，它只在第一个epoch期间关闭。不知道为什么会发生。任何帮助是高度赞赏。
我的Python代码

import tensorflow as tf
from ultralytics import YOLO
print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
print(tf.test.is_built_with_cuda())
print(tf.config.list_physical_devices('GPU'))

# Create a TensorFlow session with GPU growth enabled
config = tf.compat.v1.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.compat.v1.Session(config=config)
physical_devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(physical_devices[0], True)
print(tf.test.is_built_with_cuda())
# Run your code in the session
with sess.as_default():
   # Load the model.
   model = YOLO('yolov8n.pt')
   
   # Training.
   results = model.train(
      data='data.yaml',
      imgsz=640,
      epochs=5,
      batch=8,
      name='yolov8n_custom')

PS我还想知道YOLOV8的硬件要求是什么