Keras: how to check which operation has no gradient defined?





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I encountered an error telling me one of my operation has 'None' for gradient (when running fit, up to fit it's fine, i.e. model builds fine).



The error: ValueError: An operation has None for gradient. Please make sure that all of your ops have a gradient defined (i.e. are differentiable). Common ops without gradient: K.argmax, K.round, K.eval.



How do I find out which operation is producing the error? My model uses custom built layers with backend functions like K.variable (added only during debugging) and K.gather (which I don't think is the source of error since I use it elsewhere). I can't seem to find any suspicious function/operation that could give this error.






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    I encountered an error telling me one of my operation has 'None' for gradient (when running fit, up to fit it's fine, i.e. model builds fine).



    The error: ValueError: An operation has None for gradient. Please make sure that all of your ops have a gradient defined (i.e. are differentiable). Common ops without gradient: K.argmax, K.round, K.eval.



    How do I find out which operation is producing the error? My model uses custom built layers with backend functions like K.variable (added only during debugging) and K.gather (which I don't think is the source of error since I use it elsewhere). I can't seem to find any suspicious function/operation that could give this error.






    keras







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      I encountered an error telling me one of my operation has 'None' for gradient (when running fit, up to fit it's fine, i.e. model builds fine).



      The error: ValueError: An operation has None for gradient. Please make sure that all of your ops have a gradient defined (i.e. are differentiable). Common ops without gradient: K.argmax, K.round, K.eval.



      How do I find out which operation is producing the error? My model uses custom built layers with backend functions like K.variable (added only during debugging) and K.gather (which I don't think is the source of error since I use it elsewhere). I can't seem to find any suspicious function/operation that could give this error.






      keras







      share|improve this question














      I encountered an error telling me one of my operation has 'None' for gradient (when running fit, up to fit it's fine, i.e. model builds fine).



      The error: ValueError: An operation has None for gradient. Please make sure that all of your ops have a gradient defined (i.e. are differentiable). Common ops without gradient: K.argmax, K.round, K.eval.



      How do I find out which operation is producing the error? My model uses custom built layers with backend functions like K.variable (added only during debugging) and K.gather (which I don't think is the source of error since I use it elsewhere). I can't seem to find any suspicious function/operation that could give this error.






      keras




      keras






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      asked Jan 3 at 5:28









      liyuanliyuan

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