I'm starting up an effort to improve the TensorFlow debugging experience. If you have obscure stack traces you want to share, or if you have ideas/suggestions, send them to my work email.
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Debugging is central to the way people experience a framework. It's what we spend most of our time doing. And the clarity of the feedback provided by the framework during debugging is what minimizes time to solution and maximizes developer happiness.
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Well there is a bug in keras that i'd like to report. https://github.com/keras-team/keras/issues/12316 … Please have a look and enlighten us.
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More f strings
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Esp debugging small modules separately before combining
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Universities need to stress debugging. At my uni so many of the cs majors claimed to hardly use a debugger. I don’t understand how they passed the classes.
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stock options help with developer happiness too ...
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