get the output of intermediate layers using keras as backend












1















I want to extract four intermediate layers of my model. Here is how I setup my function:



K.function([yolo_model.layers[0].input, yolo_model.layers[4].input, K.learning_phase()],
[yolo_model.layers[1].layers[17].output,
yolo_model.layers[1].layers[27].output,
yolo_model.layers[1].layers[43].output,
yolo_model.layers[1].layers[69].output])


I always got the error that tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_3' with dtype float and shape [?,416,416,3]
It seems my input has dimension or type error but I used this input for my model train_on_batch or predict and it worked. I got the same error even when I passed np.zeros((1,416,416,3)) into it. Another wired thing is I don't have input_3 since my model only takes two inputs. I have no idea where input_3 tensor comes from.



Thanks in advance if anyone can give me some hints.










share|improve this question



























    1















    I want to extract four intermediate layers of my model. Here is how I setup my function:



    K.function([yolo_model.layers[0].input, yolo_model.layers[4].input, K.learning_phase()],
    [yolo_model.layers[1].layers[17].output,
    yolo_model.layers[1].layers[27].output,
    yolo_model.layers[1].layers[43].output,
    yolo_model.layers[1].layers[69].output])


    I always got the error that tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_3' with dtype float and shape [?,416,416,3]
    It seems my input has dimension or type error but I used this input for my model train_on_batch or predict and it worked. I got the same error even when I passed np.zeros((1,416,416,3)) into it. Another wired thing is I don't have input_3 since my model only takes two inputs. I have no idea where input_3 tensor comes from.



    Thanks in advance if anyone can give me some hints.










    share|improve this question

























      1












      1








      1








      I want to extract four intermediate layers of my model. Here is how I setup my function:



      K.function([yolo_model.layers[0].input, yolo_model.layers[4].input, K.learning_phase()],
      [yolo_model.layers[1].layers[17].output,
      yolo_model.layers[1].layers[27].output,
      yolo_model.layers[1].layers[43].output,
      yolo_model.layers[1].layers[69].output])


      I always got the error that tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_3' with dtype float and shape [?,416,416,3]
      It seems my input has dimension or type error but I used this input for my model train_on_batch or predict and it worked. I got the same error even when I passed np.zeros((1,416,416,3)) into it. Another wired thing is I don't have input_3 since my model only takes two inputs. I have no idea where input_3 tensor comes from.



      Thanks in advance if anyone can give me some hints.










      share|improve this question














      I want to extract four intermediate layers of my model. Here is how I setup my function:



      K.function([yolo_model.layers[0].input, yolo_model.layers[4].input, K.learning_phase()],
      [yolo_model.layers[1].layers[17].output,
      yolo_model.layers[1].layers[27].output,
      yolo_model.layers[1].layers[43].output,
      yolo_model.layers[1].layers[69].output])


      I always got the error that tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'input_3' with dtype float and shape [?,416,416,3]
      It seems my input has dimension or type error but I used this input for my model train_on_batch or predict and it worked. I got the same error even when I passed np.zeros((1,416,416,3)) into it. Another wired thing is I don't have input_3 since my model only takes two inputs. I have no idea where input_3 tensor comes from.



      Thanks in advance if anyone can give me some hints.







      python function tensorflow keras






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      asked Jan 18 at 20:11









      徐瑞年徐瑞年

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          I found out where the problem is. My model is composed of one inner model and several layers. When I build the function, my input is from outer model but output is from inner model, which causes disconnection between input and output. I just changed the original input to the input layer of inner model and it works.






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            I found out where the problem is. My model is composed of one inner model and several layers. When I build the function, my input is from outer model but output is from inner model, which causes disconnection between input and output. I just changed the original input to the input layer of inner model and it works.






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              I found out where the problem is. My model is composed of one inner model and several layers. When I build the function, my input is from outer model but output is from inner model, which causes disconnection between input and output. I just changed the original input to the input layer of inner model and it works.






              share|improve this answer








              New contributor




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                I found out where the problem is. My model is composed of one inner model and several layers. When I build the function, my input is from outer model but output is from inner model, which causes disconnection between input and output. I just changed the original input to the input layer of inner model and it works.






                share|improve this answer








                New contributor




                徐瑞年 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.










                I found out where the problem is. My model is composed of one inner model and several layers. When I build the function, my input is from outer model but output is from inner model, which causes disconnection between input and output. I just changed the original input to the input layer of inner model and it works.







                share|improve this answer








                New contributor




                徐瑞年 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                share|improve this answer



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                answered Jan 21 at 20:00









                徐瑞年徐瑞年

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