tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.

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

 

解决方案：

 

physical_devices = tf.config.experimental.list_physical_devices('GPU')
assert len(physical_devices) > 0, "Not enough GPU hardware devices available"
tf.config.experimental.set_memory_growth(physical_devices[0], True)



# 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)

添加上面任意一段代码即可解决