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assertion error #2
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Hi, this might be due to an error in normalisation, could you try running the get_stats() function in data_pipeline.py and see if you still get the assertion error? Let me know if this problem persists. |
I need to comment the second line in the
The function run well. I restart the training (local) and get the same assert error than previously. |
Please note that when I run the
I get 96 files with size:
Hope I help, thank you very much for your support. |
Hi, Thanks for the feedback. However, could you modify the get_stats function to make sure you are not getting any nan or inf values in the dataset? |
Hello I get the Dis Loss, Final Loss, Val Dis Loss is nan. |
Are you using the NUS dataset or your own dataset? |
my own dataset |
I am using NUS dataset on fe434ff Line 139 in fe434ff
but it is still normalized during training. So, the reason, in my opinion, is that "nus_KENN" must contain some large or small numbers and make the normalized data fall outside the interval [0, 1]. I modify the code Line 31 in fe434ff
to
and training goes well. |
Local (My Computer) & distant (Google Colab) training stop at :
When I comment the assert line, the training start but I want to be sure that is not really a problem?
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