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I run my Language Acquisition graph program and it completes successfully. However, when I run the same program again, the system is giving me a Nonetype error because the datanodes are not built properly. I am running the program in Spyder from the Anaconda distribution in Windows 10. Is there a function that cleans the output of the inference graph after running it?
The text was updated successfully, but these errors were encountered:
I run my Language Acquisition graph program and it completes successfully. However, when I run the same program again, the system is giving me a Nonetype error because the datanodes are not built properly. I am running the program in Spyder from the Anaconda distribution in Windows 10. Is there a function that cleans the output of the inference graph after running it?
This should not happen in a correct execution. Is it possible for you to identify whether some information is actually left after your execution is done or whether there is a cached result that is visible for your system?
I run my Language Acquisition graph program and it completes successfully. However, when I run the same program again, the system is giving me a Nonetype error because the datanodes are not built properly. I am running the program in Spyder from the Anaconda distribution in Windows 10. Is there a function that cleans the output of the inference graph after running it?
The text was updated successfully, but these errors were encountered: