跑代码时出错：tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found. (0) Unknown……

报错

tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
  (0) Unknown:  Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
     [[node SegNet/block1_conv2/Relu (defined at media/ac/ubuntu train/Semantic-Segmentation-main/train.py:337) ]]
     [[confusion_matrix/assert_less_1/Assert/AssertGuard/pivot_f/_31/_77]]
  (1) Unknown:  Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
     [[node SegNet/block1_conv2/Relu (defined at media/ac/ubuntu train/Semantic-Segmentation-main/train.py:337) ]]
0 successful operations.
0 derived errors ignored. [Op:__inference_train_function_6169]

 

原因分析：可能是显存太小，博主电脑是rtx1660，可能显存太小跑不起来，所以需要添加几行代码

解决方法：在主运行文件添加下面几行代码：

# 设置GPU内存按需分配
from tensorflow.compat.v1 import ConfigProto
from tensorflow.compat.v1 import InteractiveSession
config = ConfigProto()
config.gpu_options.allow_growth = True
session = InteractiveSession(config=config)