7

The kernel is dead while executing model.fit(train_generator,epochs=20), but the same code works on another pc.

This is a juputer log:

Warn 17:03:05: Error in waiting for cell to complete [Error: Canceled future for execute_request message before replies were done

at t.KernelShellFutureHandler.dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1204175)
at c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1223227
at Map.forEach (<anonymous>)
at v._clearKernelState (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1223212)
at v.dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1216694)
at c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:533674
at t.swallowExceptions (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:913059)
at dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:533652)
at t.RawSession.dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:537330)
at processTicksAndRejections (node:internal/process/task_queues:96:5)]

Warn 17:03:05: Cell completed with errors [Error: Canceled future for execute_request message before replies were done

at t.KernelShellFutureHandler.dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1204175)
at c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1223227
at Map.forEach (<anonymous>)
at v._clearKernelState (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1223212)
at v.dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:1216694)
at c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:533674
at t.swallowExceptions (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:913059)
at dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:533652)
at t.RawSession.dispose (c:\Users\ivanf\.vscode\extensions\ms-toolsai.jupyter-2022.3.1000901801\out\extension.js:2:537330)
at processTicksAndRejections (node:internal/process/task_queues:96:5)]
Michael Farmakovskii
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1 Answers1

6

There are many reasons for kernel to die. But most common reason is memory.

you may reduce your batch size which may help for your computer.

or try to use .py instead of jupyter notebook

refer: https://github.com/tensorflow/tensorflow/issues/9829

Hari Prasad
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