Ruangq
Ruangq
My environment is tensorflow2.4,cuda11.1, python3.7
@xlim1996 Hello, During my training, the following situation occurred. But the training can be carried out normally and the loss is reduced normally. my GPU is A40. 
Will this affect the training results and how to solve this problem? @xlim1996 I used the environment file of #19.
I found a problem. In splits ,the content suffix is '*.json' ,But the data type in the dataset is '*.h5' .I wonder if this will affect the result.  
But I found that this file was not used during the training.